SENSOR-BASED NON-UNIFORM COOLING
Techniques for inducing non-uniform cooling are described. According to an embodiment, a system is provided. The system can comprise at least one processor device that executes components stored in a memory, wherein the components comprise: a flow control device that distributes coolant to a location of the at least one processor device; and a sensor controller component that detects a location of a thermal anomaly of the at least one processor device. The components can also comprise a cooling controller component that adjusts the flow control device to direct the coolant to the location of the thermal anomaly.
This invention was made with Government support under Contract Nos.: FA8650-14-C-7466, HR0011-13-C-0022 awarded by Defense Advanced Research Projects Agency (DARPA). The Government has certain rights in this invention.
BACKGROUNDThe subject disclosure relates to microprocessors, and more specifically, using non-uniform cooling to cool anomalous hot spots caused by microprocessors.
SUMMARYThe following presents a summary to provide a basic understanding of one or more embodiments of the invention. This summary is not intended to identify key or critical elements, or delineate any scope of the particular embodiments or any scope of the claims. Its sole purpose is to present concepts in a simplified form as a prelude to the more detailed description that is presented later.
According to an embodiment, a device is provided that comprises an integrated circuit (IC) chip comprising a plurality of cores and a cooling apparatus coupled to the integrated chip that cools the integrated chip in association with electrical operation of the plurality of cores. The cooling apparatus can distribute coolant to a location of the processor device. In various embodiments, the cooling apparatus comprises a sensor controller component that detects a location of a thermal anomaly of the processor device. The cooling apparatus can also comprise a cooling controller component that adjusts the device to direct the coolant to the location of the thermal anomaly.
According to another embodiment, a computer-implemented method can comprise distributing, by a flow control device operatively coupled to a processor device, coolant to a location of the processor device. The method can further comprise detecting, by a sensor controller component, a location of a thermal anomaly of the processor device. Furthermore, based on the detecting the location, the method can comprise, adjusting, by a cooling controller component, the flow control device to direct the coolant to the location of the thermal anomaly.
According to yet another embodiment, a computer program product is provided that distributes, by a flow control device, coolant to a location of the processor device. The computer program product further comprises detecting, by a sensor controller component, a location of a thermal anomaly of the processor device. Furthermore, based on detecting the location, the computer program product can adjust, by a cooling controller component, the flow control device to direct the coolant to the location of the thermal anomaly.
The following detailed description is merely illustrative and is not intended to limit embodiments and/or application or uses of embodiments. Furthermore, there is no intention to be bound by any expressed or implied information presented in the preceding Background or Summary sections, or in the Detailed Description section.
The subject disclosure is directed to systems, devices, apparatuses, and/or computer-implemented methods that facilitate non-uniform cooling for a microprocessor. A multi-core processor is a single computing component with two or more independent actual processing units or “cores,” which are the units that read and/or execute program instructions. Multiple cores can run multiple instructions at the same time, increasing overall speed for programs amenable to parallel computing. Multiple cores can be integrated onto a single IC die or chip (also referred to as a “chip multiprocessor” or (CMP)), or onto multiple chips that can be coplanar or stacked and contained within a single chip package.
The subject disclosure provides systems, apparatuses, and/or computer-implemented methods that employ non-uniform cooling of micro-processor cores using non-uniform cooling technologies to optimize power-performance efficiency. For example, the system can comprise sensors, flow impedance devices, and a sensor controller that facilitate non-uniform cooling. The sensors can include, but are not limited to, capacitive and/or thermal sensors. Additionally the flow impedance devices can be piezoelectric or flow splitting devices used to restrict or facilitate coolant flow. In particular, the subject cooling techniques employ a cooling apparatus designed to cool some cores of a multi-core processor to lower temperatures than the temperature of other cores. In various embodiments, the cooling apparatus can include an air heat sink or fluid coolant path provided within close proximity (e.g., within 150 micrometers (μm)) to an IC chip or IC chip stack that is designed to cool respective cores of the IC chip or IC chip stack differently. For example, in some implementations, the cooling apparatus can include a plurality of cooling channels embedded in the IC chip or chip stack through which liquid coolant is passed. The flow control devices can be disposed at the cooling channels (or an inlet or outlet of the cooling channels) to restrict coolant from a particular core, facilitate coolant to a particular core, and/or divert coolant from one core to another core. Cooling of the IC chip can be achieved via removal of heat from the liquid coolant using a liquid to liquid heat exchanger or via condensing vapor resulting from boiling of the liquid coolant within the channels (e.g., using a condenser). According to this example, non-uniform cooling can be achieved via controlling of the amount and flow rate of liquid coolant through different channels associated with different cores such that certain areas of the chip and associated cores are cooled to lower temperatures than others. Controlling of the amount of the flow rate can be based on an indication of temperature provided by one or more sensors.
The cores that are cooled to a lower temperature than other cores (referred to herein as the “overcooled” cores) can be operated at a relatively higher frequency (e.g., up to about 5.0 GHz as compared to nominal 2.0-4.0 GHz. Thus, by utilizing non-uniform cooling, a subset of cores per chip can be operated at higher frequency than other cores of the chip to provide a significant throughput boost. In addition, thermal variations across the chip can be minimized for different core specific activities.
In some embodiments, the cores that are to be run at a higher frequency can be determined prior to fabrication of the IC chip and/or prior to integration of the cooling apparatus on or within the chip. This decision can be made based on statistical distribution of core-to-core variability, chip test or qualification data, chip layout and cooling apparatus capabilities. The cooling apparatus can then be designed to overcool those cores to be run at the higher frequency and integrated on, within or near the chip. In other embodiments, the cores to be run at the higher frequency can be determined during run-time based on above defined factors or actively by performing in-situ calibration of each core performance for different workloads. According to these embodiments, the cooling apparatus can be actively manipulated during runtime to control cooling of the respective cores as needed. In addition, real-time feedback can be received via thermal sensors associated with each of the cores indicating temperatures of the respective cores. In some implementations, the cooling apparatus can be dynamically adapted to cool certain cores based on the temperature feedback. In other embodiments, where a faulty sensors exists, the system can calibrate or recalibrate a sensor via a sensor controller. For example, the sensor controller can adjust a value of parameter of the sensor to zero, back to a previously calibrated value, and/or a value determined to be associated with the faulty sensor.
One or more embodiments are now described with reference to the drawings, wherein like referenced numerals are used to refer to like elements throughout. In the following description, for purposes of explanation, numerous specific details are set forth in order to provide a more thorough understanding of the one or more embodiments. It is evident, however, in various cases, that the one or more embodiments can be practiced without these specific details.
In some embodiments, thermal anomalies can be caused for various reasons, resulting in an overheating of one or more cores. However, aspects of systems (e.g., system 100 and the like), can comprise sensors (not shown) to detect thermal anomalies. For example, an indication of a thermal anomaly can be caused by an overheated core and/or an indication of a thermal anomaly can be caused by a faulty sensor. Various types of thermal or capacitive sensors (which will be described in greater detail with regards to
As shown in
The computing device 102 can include any type of computing device that employs a multi-core processor. For example, the computing device 102 can include a server device provided in a data center having multiple servers (e.g., a single rack of servers to hundreds or thousands of servers) or a laptop computer. In other examples, the computing device 102 can include but is not limited to: a desktop computer, a television, an Internet enabled television, a mobile phone, a smartphone, a tablet user computer (PC), a digital assistant (PDA), a heads up display (HUD), a virtual reality (VR) headset, an augmented reality (AR) headset, or another type of wearable computing device.
The computing device 102 can include a multi-core processor 106 including a plurality (e.g., two or more) of cores 108 formed on one or more IC chips 104. For example, in various implementations, the multi-core processor 106 can operate as the central processing unit (CPU) of the computing device 102. The one or more cores 108 can comprise micro-processers that execute instructions of computer programs by performing basic arithmetic, logical, control and/or input/output (I/O) operations specified by the instructions. The computing device 102 can further comprise memory 118 to store the instructions. The computing device 102 can also comprise one or more chip cooling apparatus components 110 provided on, within, or near the one or more IC chips. As described herein, the one or more chip cooling apparatus components 110 can facilitate non-uniform cooling of the one or more IC chips and the respective cores 108 formed thereon, thereby enabling some of the cores to be cooled to lower temperatures than others (referred to herein as being “overcooled”) and thus enabling the overcooled cores to compensate for anomalous hot spots. In some embodiments, the computing device 102 can further comprise a thread controller 114 that assigns threads or computational tasks/workloads to the respective cores 108 of the multi-core processor 106. In one or more embodiments, the computing device 102 can also comprise a voltage/frequency controller 116 that can direct one or more of the cores 108 to perform an assigned computational task/workload at a defined operating voltage or frequency.
The computing device 102 can further comprise a device bus 112 that electrically and communicatively connects the various hardware and software components of the computing device 102, including but not limited to, the one or more IC chips 104, the multi-core processor, the respective cores, the one or more chip cooling apparatus components 110, the thread controller 114, the voltage/frequency controller 116 and the memory 118. It should be appreciated that although not shown, the computing device 102 can comprise various additional hardware and software components that facilitate performance of various operations of a computing device, which can vary depending on the type and features/functionalities of the computing device 102. Some examples of these additional hardware and software components are described infra with reference to
It should be appreciated that the number of cores 108 can vary from 1 to N, wherein N is an integer greater than 1. The multiple cores 108 can be integrated onto a single IC die or chip or onto multiple chips that can be coplanar or stacked and contained within a single chip package. According to these implementations, the respective cores 108 can comprise same or substantially the same hardware configurations, be configured to operate using the same or substantially the same operating frequency capacity, be configured to operate using the same or substantially the same voltage capacity, and/or can be configured to perform the same or substantially the same computational tasks. According to these implementations, at least one of the respective cores 108 can comprise a different hardware configuration relative to another core of the respective cores 108, be configured to operate using a different operating frequency capacity relative to the other core of the respective cores 108, be configured to operate using a different voltage capacity relative to the other core of the respective cores 108, and/or be configured to perform a different specialized computational task relative to the other core of the respective cores 108.
In accordance with various embodiments, a first subset (including one or more) of the cores 108 can be operated at a higher voltage and/or operating frequency relative to a second subset (including one or more) of the cores 108. For example, in an embodiment, each of the cores 108 can be configured to operate within a range of operating voltages or frequencies. According to this example, each of the cores 108 can be configured to operate using a low voltage or frequency for most computational tasks or workloads. However, the first subset of the cores 108 can be selected to operate at a higher operating voltage or frequency for one or more defined computational tasks or workloads that require a higher operating voltage or frequency based on a time constraint assigned for completion of the task or workload and/or a degree of processing strain/complexity associated with performance of the computational task or workload. In this scenario, if performance of a defined computational task or workload requiring a high voltage or operating frequency is requested, the thread controller 114 can direct the one or more of the cores 108 included in the first subset to perform the defined computational task or workload and the voltage/frequency controller 116 can direct the one or more cores 108 included in the first subset to perform the defined computational task or workload using the higher operating voltage or frequency. The voltage/frequency controller 116 can further direct the one or more cores included in the first subset to return to operating using the low voltage or frequency after completion of the defined computational task or workload. The specific operating voltages and/or frequencies for different computational tasks or workloads can be defined or determined at runtime based on various factors (e.g., power level, a task priority scheme, current processing tasks scheduled and/or being performed by the respective cores 108, etc.).
In an embodiment in which the respective cores 108 are heterogonous, a first subset of the cores 108 can include one or more first cores that are configured to operate using a higher voltage and/or operating frequency relative to a second subset of the one or more cores 108. For example, a first subset of the cores 108 can comprise high performance cores configured to operate up to about 5.0 Ghz and the second subset of cores can include low frequency or low power cores configured to operate up to about 2.0 Ghz. In this scenario, when performance of a defined computational task or workload requiring a high voltage or operating frequency is requested, the thread controller 114 can direct the one or more of the cores 108 included in the first subset to perform the defined computational task or workload using the higher operating voltage or frequency. Likewise, when performance of a defined computational task or workload requiring a low voltage or operating frequency is requested, the thread controller 114 can direct the one or more of the cores 108 included in the second subset to perform the defined computational task or workload using the lower operating voltage or frequency.
The one or more chip cooling apparatus components 110 of the computing device 102 can cool the one or more IC chips and the cores 108. For example, the respective cores 108 can consume a significant amount of power (e.g., tens to hundreds of watts) and generate a corresponding amount of heat during electrical operation. The one or more chip cooling apparatus components 110 can facilitate removal of this heat to effectuate cooling the one or more IC chips 104 in association with electrical operation of the respective cores. More particularly, the one or more chip cooling apparatus components 110 can non-uniformly cool the one or more IC chips 104 such that a first subset (including one or more) of the cores 108 that operate at a higher voltage or operating frequency relative to a second subset of the one or more cores 108 are cooled to a lower temperature relative to the second subset of the one or more cores.
In yet another example, the one or more chip cooling apparatus components 110 of the computing device 102 can cool the one or more IC chips and the cores 108 in response to detection of one or more anomalous hot spots. In general, an anomalous hot spot can be caused by actual malicious activity, sensor malfunction, and/or malicious activity causing sensor malfunction. However, it should be noted that the aforementioned causes of anomalous hot spots are not restrictive and other causes can exist. The one or more chip cooling apparatus components 110 can non-uniformly cool the one or more IC chips 104 such that a first subset (including one or more) of the cores 108 that have encountered a hot spot can be cooled relative to a second subset of the one or more cores 108.
In various embodiments, the one or more chip cooling apparatus components 110 can comprise a plurality of microchannels through which liquid coolant can be passed to effectuate cooling of the one or more IC chips 104. In such liquid cooling schemes, heat can be transferred from the one or more IC chips 104 to the coolant in the cooling channels. Cooling of the IC chip can be achieved via removal of heat from the liquid coolant using a liquid to liquid heat exchanger or via condensing vapor resulting from boiling of the liquid coolant within the channels (e.g., using a condenser). Although various embodiments of the one or more chip cooling apparatus components 110 are described wherein the one or more chip cooling apparatus components 110 comprise cooling channels, the subject non-uniform cooling schemes can employ other suitable cooling apparatuses provided the cooling apparatuses can cool certain cores of the multi-core processor in response to a detection of a hot spot. For example, in an alternative embodiment, the one or more chip cooling apparatus components 110 can include cold plates.
In the embodiment shown, the one or more chip cooling apparatus components 110 are located on the one or more IC chips 104. For example, in various embodiments the chip cooling apparatus components 110 can be embedded within an IC chip above or below the respective cores 108. However, other suitable configurations are envisioned. For example, in other embodiments, the one or more chip cooling apparatus components 110 can be located off of the one or more IC chips 104 yet adjacent to the upper or lower surfaces of the one or more chips, respectively. However, in various embodiments, the one or more chip cooling apparatus components 110 can be located within close proximity to the cores 108 to enable selective cooling of the respective cores 108.
In accordance with various embodiments, an IC chip 200 with embedded cooling can comprise a cooling layer 208 formed within a chip substrate 206, such as a semiconductor substrate (e.g., including silicon (Si), geranium (Ge), or another suitable material). The cooling layer 208 can comprise a plurality of microchannels 210 through which liquid coolant can be passed. In various embodiments, the cooling layer 208 can be or can comprise the one or more chip cooling apparatus components 110 of computing device 102 and vice versa. The cooling layer can also comprise piezoelectric devices (although not shown, will be discussed in greater detail with regards to
In various embodiments, the cooling layer 208 and associated microchannels 210 can be adjacent to the IC active layer. In one or more implementations, the distance or thickness of the chip substrate 206 between the cooling layer 208 and the IC active layer can be about 200 μm or less. In another implementation, the distance or thickness of the chip substrate 206 between the cooling layer 208 and the IC active layer can be about 150 μm or less. In yet another implementation, the distance or thickness of the chip substrate 206 between the cooling layer 208 and the IC active layer can be about 150 μm or less. The number, dimensions, and configuration of the microchannels 210 can vary such that the microchannels can facilitate non-uniform cooling of the IC chip 200. In general, single (e.g., liquid to liquid) or two-phase (e.g., liquid to vapor) heat transfer involving a plurality of small microchannels can be employed. Accordingly, in many implementations, cooling can be improved as the number of channels increases and the dimensions of the respective channels decreases. Various microchannel configurations and mechanisms that provide for non-uniform cooling of the IC chip are discussed in greater detail with respect to other figures herein.
The chip substrate 206 can be physically and electrically coupled to a printed circuit board (PCB) 202 or other suitable packaging substrate using various soldering mechanisms. In the embodiment shown, the chip substrate 206 is physically and electrically coupled to the PCB 202 via solder balls 204 (e.g., using a flip chip method or other suitable method). The IC chip stack 201 can comprise a plurality of IC chips 200 mounted upon one another. Accordingly, the IC chip stack 201 can include a plurality of cooling layers 208 respectively having a plurality of microchannels 210 embedded within chip substrates 206. The chip substrates 206 of the IC chip stack 201 can respectively comprise one or more processing cores (e.g., cores 108). The respective chip substrates 206 of the IC chip stack 201 can be physically and electrically connected to one another using various soldering mechanisms. IC chips and chip stacks with embedded cooling, such as IC chip 200 and IC chip stack 201, can exhibit a higher thermal resistance relative to IC chips and chip stacks that are air cooled.
For example,
A typical air cooled IC chip package 300 can include a chip substrate 302 or die of standard thickness (e.g., 780 μm), a first thermal interface material 304 (TIM 1) providing thermal contact between the substrate and a heat spreader 306 (e.g., typically made of copper) provided over the TIM 1. The heat spreader 306 is attached through a second thermal interface material 308 (TIM 2) to an air cooled heat sink 310 which conducts heat to the room ambient environment. The chip junction temperature (Tjunction) for the air cooled chip package can the thermal resistance Tth of the device multiplied by the power dissipated by the device (Q) plus the ambient temperature (Tambient). In standard data centers, the ambient temperature is typically around 25° C. Assuming the total thermal resistance for a typical air cooled IC chip package 300 is approximately 0.24 Celsius/Watt (° C./W) and the central processing unit (CPU) provided on the chip substrate 302 operates at about 250 W, the resulting temperature gradient between the ambient air and the chip substrate 302 would be about 60° C. This can result in a chip junction temperature of 85° C. for the air cooled chip package. The chip junction temperature (Tjunction) for the air cooled chip package is the thermal resistance Tth of the device multiplied by the power dissipated by the device (Q) plus the coolant temperature (Tcoolant). The embedded cooling concept proposed can lower the thermal resistance to about 0.04 C/W or less for the IC chip 200 with embedded cooling, thereby significantly reducing the chip junction temperature (e.g., to about 35° C. as opposed to 85° C.) to minimize processor power consumption with respect to similar computational throughput. Effectively, leveraging sensors, flow impedance devices, and/or a sensor controller can facilitate cooling of the IC chip 200, which can lead to the minimized processor power consumption.
The lower thermal resistance achievable through liquid cooling such as the embedded cooling technology described above can enable year-round outdoor ambient cooling of data center servers, thereby reducing the cooling energy required to transfer the chip heat to the outdoor ambient environment. Accordingly, the use of liquid cooling can significantly minimize cooling power dissipated in data centers with respect to the inefficient air-cooling methods currently utilized.
With reference to
In one or more implementations, the cooling apparatus or cooling system can be a closed loop system comprising a first loop between the one or more chip cooling apparatus components 110 and the condenser/heat exchanger 124, and a second loop between the wet/dry cooler 130 and the condenser/heat exchanger 124. In such a closed loop system, liquid coolant can be continually passed or pumped in the first loop from the condenser/heat exchanger 124 to the one or more chip cooling apparatus components 110 through an inlet 120 and excreted from the one or more chip cooling apparatus components 110 as heated liquid coolant or vapor through an outlet 122 back to the condenser/heat exchanger 124 (e.g., the first loop). In addition, in the second loop, liquid coolant can be continuously transferred from the condenser/heat exchanger 124 to the wet/dry cooler 130 via outlet 126, where heat from the liquid coolant can be dissipated into the outdoor environment via the wet/dry cooler 130. The liquid coolant, with the heat removed, can then be transferred back to the condenser/heat exchanger 124 by the wet/dry cooler 130 via the inlet 120.
For example,
In particular,
The closed loop cooling system 400 can comprise a first or primary closed coolant loop between the condenser/heat exchanger 124 and the electronic device with embedded cooling 402. The primary closed coolant loop can transfer the heat from the electronic device with embedded cooling 402 to a secondary liquid loop which further transfers the heat to the wet/dry cooler 130 to dissipate the heat to the outdoor ambient environment. The wet/dry cooler 130 can comprise a fan 418 that cools the heated liquid coolant received from the condenser/heat exchanger 124. As the liquid coolant is cooled, the liquid coolant is pumped back to condenser/heat exchanger 124 (e.g., via pump 412) where it is run back through the primary loop. In various embodiments, one or more aspects of the closed loop cooling system 400 can be controlled via a controller 410 that is external to the electronic device with embedded cooling 402.
For example, liquid coolant can be pumped (e.g., via micro pump 406) from the condenser/heat exchanger 124 through an optional filter 408 to the cooling channels of the electronic device with embedded cooling 402 through an inlet 120. In the embodiment shown the closed loop cooling system 400 can comprise a flow meter (FM) to measure and/or monitor the flow rate of the liquid coolant into the electronic device. The closed loop cooling system 400 can also comprise one or more pressure sensors (P) and temperature sensors (T) to measure and/or monitor fluid temperature and pressure throughout operation of the closed loop cooling system 400. The coolant in the primary loop can operate in single phase (that is, completely liquid) or it can operate as a two-phase coolant where, the coolant boils as it flows through the micro-channels. In case of single phase cooling, the coolant is heated by the electronic device as it passes through the micro-channels and the heated coolant is excreted micro-channels to the condenser/heat exchanger 124 via the outlet 122.
The sensors (which will be further described in greater detail with regards to
The condenser/heat exchanger 124 can comprise a liquid to liquid heat exchanger that transfers the heat from the heated coolant to the wet/dry cooler 130. In case of two-phase cooling, instead of excreting heated liquid coolant from the outlet, the liquid coolant is boiled from the micro-channels as it passes through and vapor is excreted from the outlet 122. Instead of a liquid to liquid heat exchanger, the condenser/heat exchanger 124 can include a condenser that condenses the vapor exiting from the electronic device package and to subsequently transfer the heat to the secondary liquid loop. In one or more implementations, if the temperature of the coolant in the secondary loop is sufficiently high, the heat can be recovered resulting in further improvement in system efficiency. Compared to a baseline air cooled system, the closed loop cooling system 400 can provide reduction in cooling energy (e.g., a 20× reduction).
With reference to
In other embodiments, the subset of the cores 108 to be cooled can be determined can be determined in response to identifying a hot spot associated with the subset of the cores 108. The subset of the cores 108 to be cooled can be determined based on an output of sensor(s) 508. According to these embodiments, the one or more chip cooling apparatus components 110 can be actively manipulated prior to, during, and/or after runtime to control cooling of the respective cores as needed. Thus the chip cooling apparatus components 110 are considered to “actively” cool the one or more IC chips 104.
In one or more embodiments in which the chip cooling apparatus components 110 comprise a plurality of microchannels through which liquid coolant is passed, the chip cooling apparatus components 110 can provide non-uniform cooling by controlling the amount and flow rate of the liquid coolant through the respective microchannels. For example, in embodiments in which the condenser/heat exchanger 124 comprises a liquid to liquid heat exchanger that removes heat from liquid coolant expelled from the microchannels (e.g., single-phase cooling), the one or more chip cooling apparatus components 110 can be designed to provide a higher amount and flow rate of the liquid coolant to one or more areas of the one or more chips comprising cores that are desired to be cooled in response to detection of a hot spot. Alternatively, in embodiments in which in the condenser/heat exchanger 124 comprises a condenser that removes heat from liquid coolant provided in the microchannels via boiling of the liquid coolant and condensing the resulting vapor (e.g., two-phase cooling), the one or more chip cooling apparatus components 110 can be designed to provide a lower flow rate of the liquid coolant to one or more areas of the one or more chips comprising cores that are desired to be cooled. In particular, the degree of cooling associated with two-phase cooling can be directly attributed to the quality of the vapor generated from the boiled liquid coolant. Vapor quality is the mass of the vapor divided by the total mass of the liquid coolant. Vapor quality can be enhanced as the mass of the vapor increases relative to the amount of liquid coolant in the corresponding micro-channel. Accordingly, by reducing the flow rate of liquid coolant to a particular area of the chip, the vapor quality associated with that area of the chip can be reduced.
In some embodiments, the amount and flow rate of the liquid coolant is controlled through the usage of one or more flow impedance structures (not shown) that are integrated within or near openings of the microchannels. The flow impedance structures physically block or impede the flow of liquid coolant through the respective micro-channels they are associated with. The flow impedance manipulators can thus be arranged to divert liquid coolant to a desired subset of the microchannels associated with an area of the one or more IC chips 104 including one or more cores 108 to be cooled, depending on the type of cooling system employed (e.g., single-phase verses two-phase). For example, in order to increase the flow of liquid coolant to a first subset of microchannels located adjacent to an area of the chip comprising a core that is to be cooled, one or more flow impedance structures can be provided near openings of a second subset of the microchannels surrounding the first subset of microchannels. In other embodiments, the amount and flow rate of the liquid coolant to respective areas of the one or more IC chips 104 comprising cores to be cooled or can be controlled via the physical configuration of the microchannels. For example, when single-phase cooling is employed, the one or more chip cooling apparatus components 110 can comprise a greater number of microchannels adjacent to areas of the chip intended to be cooled relative to other areas of the chip. In another example, the dimensions (e.g., diameter) of the micro-channels located near different areas of the chip can be varied to achieve different cooling profiles for the different areas.
It should be appreciated that various other mechanisms can be employed to control the amount and flow rate of liquid coolant to select areas of the one or more IC chips 104 and the subject disclosure is not limited to those exemplified herein. For example, in some alternative embodiments wherein the multi-core processor 106 comprises a chip stack (e.g., IC chip stack 201), only some of the chips in the stack can comprise a cooling layer. For instance, the lowermost chip or the uppermost chip can comprises a cooling layer provided adjacent to the chip. Also, additional cooling mechanisms (e.g., air cooling) to embedded cooling can be employed in other embodiments to facilitate overall reduction in thermal heat resistance of the chip stack.
In various embodiments, the one or more IC chips 104 of computing device 102 can be or comprise the IC chips presented in
The channels 506 can comprise flow impedance structures 502 (e.g. moveable components) for active flow redistribution. The flow impedance structures 502 can be passive, (fixed for a given channel design), or active (dynamically adjustable) based on temperature feedback from the sensors 508. The flow impedance structures 502 can be piezoelectric devices, which can deform to increase or decrease flow impedance in each channel 506. Alternatively, in the case of passive flow impedance control, flow impedance can be based on the IC layout and cooling structure.
The channels 506 can also comprise sensors 508, wherein the sensors 508 can be either thermal or capacitive. The sensors 508 can be located in the fluid stream of the channels 506 as well as at the inlet and outlet of the IC chip 500. Sensors 508 placed in the fluid stream can be used to detect the heat flowing into associated channels 506, while sensors 508 placed near the inlets and outlets can be used to detect the total heat transferring into the fluid from the electronic device.
The IC chips 500, 600, and 700 can comprise flow impedance structures 502 provided at or near openings of selected channels of the plurality of channels 506 that respectively block or impede the flow of liquid coolant through the selected channels. Although in many embodiments, the flow impedance structures 502 are provided at or near the inlets of the channels 506, the flow impedance structures 502 can also be located at or near the outlets of the channels 506 and/or at various locations within the channels 506 between the channel inlets and outlets. In various embodiments, the one or more chip cooling apparatus components 110 of computing device 102 can be or comprise the channels 506 and the flow impedance structures 502 of IC chips 500, 600, and 700. Repetitive description of like elements employed in respective embodiments is omitted for sake of brevity.
With reference now to
The sensors 508 can be recalibrated based on an indication that a sensor is faulty. For example, a sensor controller (although not shown, will be discussed in greater detail in regards to
It should also be noted that an artificial intelligence (AI) component can facilitate automating one or more features in accordance with the disclosed aspects. For example, the AI component can predict a hot spot 510 within specific cores prior to the hot spot 510 being sensed by the sensor 508, triggering the cooling of the cores susceptible to the hot spot 510. A memory and a processor as well as other components can facilitate AI-based functionality with regard to the figures. For example, a process for detecting one or more trigger events, reducing a voltage/frequency of a core, and modifying one or more reported measurements, and so forth, can be facilitated with an example automatic classifier system and process.
An example classifier can be a function that maps an input attribute vector, x=(x1, x2, x3, x4, xn), to a confidence that the input belongs to a class, that is, f(x)=confidence(class). Such classification can employ a probabilistic and/or statistical-based analysis (e.g., factoring into the analysis utilities and costs) to prognose or infer an action that can be automatically performed. The attributes can be a frequency, a voltage, and the classes can be a controller value.
For example, as shown in
Cores 1 and 5 are depicted in a dark grey fill coloration to indicate they are their respective sensors 508 have indicated a possible hot spot 510 and/or a sensor 508 malfunction. If it is determined that the sensors 508 have malfunctioned, then the sensors 508 can be recalibrated. For example, a sensor controller (although not shown, will be discussed in greater detail in regards to
For example, as shown in
In various embodiments, the computing device 102 can employ active cooling to selectively cool certain cores or the respective cores 108 during run time. With active cooling, the cooling applied to the respective cores by the one or more chip cooling apparatus components 110 can be dynamically adapted and controlled by the cooling controller 906 based on various factors. In particular, in one or more embodiments, the one or more chip cooling apparatus components 110 can comprise one or more flow control devices 904 that can be actively manipulated by the cooling controller 906 during operation of the computing device 102 to control the amount or degree of cooling applied to each of the cores 108 by the one or more chip cooling apparatus components 110.
In some implementations in which the one or more chip cooling apparatus components 110 comprise micro-channels through which liquid coolant is passed, the flow control devices 904 can comprise adjustable flow impedance structures 502. According to this example, the cooling controller 906 can control a size, shape or position of the adjustable flow impedance structures 502 to increase or decrease the flow rate of liquid coolant through each of the channels. For example, with reference again to
In another implementation in which the one or more chip cooling apparatus components 110 comprise micro-channels through which liquid coolant is passed, the one or more flow control devices 904 can comprise valves provided at the openings of each channel (or subsets of the channels) that can be selectively opened or closed by the cooling controller 906 of the computing device 102 to increase or decrease the flow rate of liquid coolant to the respective cores 108.
In another embodiment, sensors 508 can be distributed at various locations throughout the system 900. Sensors 508 can continuously or regularly provide temperature feedback identifying respective temperatures of the cores 108. For example, in some implementations, the cooling controller 906 can receive temperature feedback from sensors 508 regarding respective temperatures of the cores 108. The cooling controller 906 can further adjust the one or more chip cooling apparatus components 110 to cool those cores that become relatively hotter than others. This can be a dynamic process wherein the cooling controller 906 regularly adapts the coolant distribution of the chip cooling apparatus components 110 (e.g., via control of the one or more flow control devices 904) to cool cores as they become relatively hotter than other cores. In some embodiments, the cooling controller 906 can employ a priority scheme wherein the cooling controller 906 can rank the respective cores 108 based on their respective temperatures and controls cooling of the respective cores 108 according to their respective temperatures, wherein hotter cores are prioritized to receive a greater degree or amount of cooling over cooler cores. In other embodiments, the cooling controller 906 can apply relative degrees or amounts of cooling to the respective cores 108 based on their respective temperatures and various temperature thresholds. For example, the cooling controller 906 can apply a first degree of cooling based on the temperature of a core being less than X° (10 C), a second degree of cooling based on the temperature of the core being between X° (10 C) and Y° (20 C), and a third degree of cooling based on the temperature of a hot spot 510 of the core being greater than Y° (20 C).
In another embodiment, sensors 508 can be controlled and/or calibrated by a sensor controller 908. Sensors 508 can be calibrated as a function of a function of coolant temperature, resulting in sensor calibration parameters. It should be noted that all calibration parameters can be stored in the memory 118 and accessed by the sensor controller 908 to compare changes in the sensor calibration parameters. Should a change in the sensor calibration parameters be identified by the sensor controller 908, the sensor controller 908 can make a determination as to why the change has occurred. For example, the change can be due to a sensor malfunction (resulting in discarding the sensor readings) or an anomalous hot spot. In the former case, the sensor controller 908 can determine whether the sensors 508 are experiencing sensor drift or are have malfunctioned. Should the sensors 508 experience sensor drift or malfunction, the sensor controller 908 can be can update calibration reference values stored in the memory 118.
For instance,
The cooling channel configuration of IC chip 1000 comprises controllable valves 1002 provided at the inlet of each of the channels 506 that can be in an open or closed state based on a control signal provided by the cooling controller 906. In the embodiment shown, each of the cores 1-8 are associated with three channels 506 that run below and adjacent to the respective cores. The controllable values associated with all three of the cooling channels associated with cores 1 and 5 are provided in an open state. However, only one of the controllable valves 1002 of each set of three channels associated with cores 2, 3, 4, 6, 7 and 8 are in the open state. For instance, based on an indication from a sensor 508 that core 1 and core 5 are experiencing an anomalous hot spots, the IC chip 1000 can open the inlets associated with the respective cores. Therefore, with this configuration, the flow rate of liquid coolant introduced into the channels 506 via the inlet is increased through the channels associated with cores 1 and 5 to mitigate the hot spots and decreased through the channels associated with cores 2, 3, 4, 6, 7 and 8. In another embodiment, it could be determined that the sensors 508 are faulty. If it is determined that the sensors 508 a faulty, then the sensors 508 can be recalibrated by a sensor controller (although not shown, will be discussed in greater detail in regards to
The aforementioned systems, apparatuses, and/or devices have been described with respect to interaction between several components. It should be appreciated that such systems and components can comprise those components or sub-components specified therein, some of the specified components or sub-components, and/or additional components. Sub-components could also be implemented as components communicatively coupled to other components rather than included within parent components. Further yet, one or more components and/or sub-components can be combined into a single component providing aggregate functionality. The components can also interact with one or more other components not specifically described herein for the sake of brevity, but known by those of skill in the art.
In view of the example systems, apparatus, and computer readable storage mediums described herein, example methods that can be implemented in accordance with the disclosed subject matter can be further appreciated with reference to the flowcharts in
At element 1102, a device operatively coupled to a multi-core processer (e.g., computing device 102) and a first subset of cores of a plurality of cores of the multi-core processor can operate with least resistance to a coolant flow rate. At element 1104, processors of the device can be operated at their lowest power state. Thereafter, a coolant temperature can be ramped from a low temperature to a high temperature at a steady state at element 1106. At element 1108, values from sensors being calibrated can be recorded as a function of the coolant temperature. Consequently, a regression fit can be performed at element 1110 to get the calibration function for each sensor.
At element 1202, a device operatively coupled to a multi-core processor (e.g., computing device 102) can start with a least resistance to coolant flow (e.g., flow control device 904), wherein no flow impedance structures 502 impede the coolant flow. At element 1204, the device can perform sensor calibration of sensors (e.g., sensor controller 908) associated with a first core of a plurality of cores of the multi-core processor, wherein the plurality of cores are provided on one or more integrated circuit chips (e.g., the one or more IC chips 104, and the like). At element 1206, the device can compare changes in calibration parameters (of the sensors 508) with reference to a database (e.g., via the sensor controller 908). If a change is detected at element 1208, the device can determine if the sensors 508 are experiencing a sensor drift (e.g., via the sensor controller 908) at element 1222 or monitor the sensors 508 to detect an anomaly at element 1210. If the sensors 508 are experiencing sensor drift, or the sensor has been determined to have malfunctioned (is a sensor having poor or no functionality) at element 1224, then a calibration reference database can be updated at element 1220, and outputs of updated values from element 1220 an be used to perform calibrations of sensors again at element 1204 (e.g., via the sensor controller 908).
If an anomaly is detected at element 1212, then the computing device 102 can determine if the cooling system is operating at maximum capacity at element 1214 and throttle chip power at element 1232 (e.g., via the voltage/frequency controller 116) if the cooling system is operating at maximum capacity at element 1214. If the cooling system is not operating at maximum capacity at element 1214, then the flow impedance structures 502 can be adjusted to mitigate the anomaly at element 1216 (e.g., via the cooling controller 906). Consequently, a system administrator can be alerted about the anomaly at element 1218, and the system can return to detecting anomalies at element 1212 (e.g., via the sensor controller 908). An alert to the system administrator can take several different forms and prompt a mitigation strategy to ensure that an anomalous core does not continue to operate at a certain capacity. For instance, the alert can result in halting of any queued jobs by the computing device 102 to the core experiencing the anomaly. The alert can also notify the system administer to isolate the core in response to notification of a hot spot associated with the core. For example, the system can then assign a lower priority to the core that has experienced the anomaly, to allow time for the core to cool, and swap out for another core that is not experiencing an anomaly.
Alternatively, if an anomaly is not detected at element 1212, then the computing device 102 can continue to operate under normal conditions at element 1230. If the computing device 102 continues to operation under normal conditions at element 1230 or the chip power is throttled at element 1232, then the computing device 102 can next make a determination as to whether to shut the system down at element 1228. If the determination is made to shut the system down at element 1228, then the computing device 102 can wait a time t and shut down the cooling system at element 1226. Alternatively, should the determination be made not to shut down the system at element 1228, then the system can return to monitoring the sensors 508 to detect an anomaly at element 1210.
At element 1302, a multi-core processer device 106 can distribute coolant to a location of the multi-core processor device, resulting in coolant flow (e.g., via the flow control device 904). At element 1304, the multi-core processor device 106 can detect a thermal anomaly of the multi-core processor device, resulting in a detection of a location of the thermal anomaly (e.g., via the sensor controller 908). For example, in some embodiments, the sensors 508 associated with certain cores can detect a rapid increase in temperature within a specific location of its associated core. Consequently, based on the detection of the location of the thermal anomaly at element 1304, the multi-core processor device can adjust the flow control device 904 to direct the coolant to the location of the thermal anomaly at element (e.g., via the cooling controller 906). According to these embodiments, the flow impedance structures 502 can be actively manipulated to control cooling of the respective cores (or respective areas of the respective cores) as needed (e.g., via the cooling controller 906).
At element 1402, a multi-core processor 106 can distribute coolant to a location of the multi-core processor device 106 (e.g., via the cooling controller 906). At element 1404, the multi-core processor device can detect a location of a thermal anomaly of the multi-core processor device 106 (e.g., via the sensor controller 908). For example, in some embodiments, the sensors 508 associated with certain cores can detect a rapid increase in temperature within a specific location of its associated core. Consequently, the multi-core processor device can adjust the flow control device to direct the coolant to the location of the thermal anomaly at 1408 (e.g., via the cooling controller 906) based on detecting the location. According to these embodiments, the flow impedance structures 502 can be actively manipulated to control cooling of the respective cores (or respective areas of the respective cores) as needed (e.g., via the cooling controller 906).
In order to provide a context for the various aspects of the disclosed subject matter,
Repetitive description of like elements employed in other embodiments described herein is omitted for sake of brevity. With reference to
Computer 1512 can also include removable/non-removable, volatile/nonvolatile computer storage media.
Computer 1512 can operate in a networked environment using logical connections to one or more remote computers, such as remote computer(s) 1544. The remote computer(s) 1544 can be a computer, a server, a router, a network PC, a workstation, a microprocessor based appliance, a peer device or other common network node and the like, and typically can also include many or all of the elements described relative to computer 1512. For purposes of brevity, only a memory storage device 1546 is illustrated with remote computer(s) 1544. Remote computer(s) 1544 is logically connected to computer 1512 through a network interface 1548 and then physically connected via communication connection 1550. Network interface 1548 encompasses wire and/or wireless communication networks such as local-area networks (LAN), wide-area networks (WAN), cellular networks, etc. LAN technologies include Fiber Distributed Data Interface (FDDI), Copper Distributed Data Interface (CDDI), Ethernet, Token Ring and the like. WAN technologies include, but are not limited to, point-to-point links, circuit switching networks like Integrated Services Digital Networks (ISDN) and variations thereon, packet switching networks, and Digital Subscriber Lines (DSL). Communication connection(s) 1550 refers to the hardware/software employed to connect the network interface 1548 to the system bus 1518. While communication connection 1550 is shown for illustrative clarity inside computer 1512, it can also be external to computer 1512. The hardware/software for connection to the network interface 1548 can also include, for exemplary purposes only, internal and external technologies such as, modems including regular telephone grade modems, cable modems and DSL modems, ISDN adapters, and Ethernet cards.
The present invention may be a system, a method, an apparatus and/or a computer program product at any possible technical detail level of integration. The computer program product can include a computer readable storage medium (or media) having computer readable program instructions thereon for causing a processor to carry out aspects of the present invention. The computer readable storage medium can be a tangible device that can retain and store instructions for use by an instruction execution device. The computer readable storage medium can be, for example, but is not limited to, an electronic storage device, a magnetic storage device, an optical storage device, an electromagnetic storage device, a semiconductor storage device, or any suitable combination of the foregoing. A non-exhaustive list of more specific examples of the computer readable storage medium can also include the following: a portable computer diskette, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or Flash memory), a static random access memory (SRAM), a portable compact disc read-only memory (CD-ROM), a digital versatile disk (DVD), a memory stick, a floppy disk, a mechanically encoded device such as punch-cards or raised structures in a groove having instructions recorded thereon, and any suitable combination of the foregoing. A computer readable storage medium, as used herein, is not to be construed as being transitory signals per se, such as radio waves or other freely propagating electromagnetic waves, electromagnetic waves propagating through a waveguide or other transmission media (e.g., light pulses passing through a fiber-optic cable), or electrical signals transmitted through a wire.
Computer readable program instructions described herein can be downloaded to respective computing/processing devices from a computer readable storage medium or to an external computer or external storage device via a network, for example, the Internet, a local area network, a wide area network and/or a wireless network. The network can comprise copper transmission cables, optical transmission fibers, wireless transmission, routers, firewalls, switches, gateway computers and/or edge servers. A network adapter card or network interface in each computing/processing device receives computer readable program instructions from the network and forwards the computer readable program instructions for storage in a computer readable storage medium within the respective computing/processing device. Computer readable program instructions for carrying out operations of the present invention can be assembler instructions, instruction-set-architecture (ISA) instructions, machine instructions, machine dependent instructions, microcode, firmware instructions, state-setting data, configuration data for ICry, or either source code or object code written in any combination of one or more programming languages, including an object oriented programming language such as Smalltalk, C++, or the like, and procedural programming languages, such as the “C” programming language or similar programming languages. The computer readable program instructions can execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the latter scenario, the remote computer can be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or the connection can be made to an external computer (for example, through the Internet using an Internet Service Provider). In some embodiments, electronic circuitry including, for example, programmable logic circuitry, field-programmable gate arrays (FPGA), or programmable logic arrays (PLA) can execute the computer readable program instructions by utilizing state information of the computer readable program instructions to personalize the electronic circuitry, in order to perform aspects of the present invention.
Aspects of the present invention are described herein with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and/or block diagrams, and combinations of blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer readable program instructions. These computer readable program instructions can be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions/acts specified in the flowchart and/or block diagram block or blocks. These computer readable program instructions can also be stored in a computer readable storage medium that can direct a computer, a programmable data processing apparatus, and/or other devices to function in a particular manner, such that the computer readable storage medium having instructions stored therein comprises an article of manufacture including instructions which implement aspects of the function/act specified in the flowchart and/or block diagram block or blocks. The computer readable program instructions can also be loaded onto a computer, other programmable data processing apparatus, or other device to cause a series of operational acts to be performed on the computer, other programmable apparatus or other device to produce a computer implemented process, such that the instructions which execute on the computer, other programmable apparatus, or other device implement the functions/acts specified in the flowchart and/or block diagram block or blocks.
The flowchart and block diagrams in the Figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods, and computer program products according to various embodiments of the present invention. In this regard, each block in the flowchart or block diagrams can represent a module, segment, or portion of instructions, which comprises one or more executable instructions for implementing the specified logical function(s). In some alternative implementations, the functions noted in the blocks can occur out of the order noted in the Figures. For example, two blocks shown in succession can, in fact, be executed substantially concurrently, or the blocks can sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems that perform the specified functions or acts or carry out combinations of special purpose hardware and computer instructions.
While the subject matter has been described above in the general context of computer-executable instructions of a computer program product that runs on a computer and/or computers, those skilled in the art will recognize that this disclosure also can or can be implemented in combination with other program modules. Generally, program modules include routines, programs, components, data structures, etc. that perform particular tasks and/or implement particular abstract data types. Moreover, those skilled in the art will appreciate that the inventive computer-implemented methods can be practiced with other computer system configurations, including single-processor or multiprocessor computer systems, mini-computing devices, mainframe computers, as well as computers, hand-held computing devices (e.g., PDA, phone), microprocessor-based or programmable consumer or industrial electronics, and the like. The illustrated aspects can also be practiced in distributed computing environments where tasks are performed by remote processing devices that are linked through a communications network. However, some, if not all aspects of this disclosure can be practiced on stand-alone computers. In a distributed computing environment, program modules can be located in both local and remote memory storage devices.
As used in this application, the terms “component,” “system,” “platform,” “interface,” and the like, can refer to and/or can include a computer-related entity or an entity related to an operational machine with one or more specific functionalities. The entities disclosed herein can be either hardware, a combination of hardware and software, software, or software in execution. For example, a component can be, but is not limited to being, a process running on a processor, a processor, an object, an executable, a thread of execution, a program, and/or a computer. By way of illustration, both an application running on a server and the server can be a component. One or more components can reside within a process and/or thread of execution and a component can be localized on one computer and/or distributed between two or more computers. In another example, respective components can execute from various computer readable media having various data structures stored thereon. The components can communicate via local and/or remote processes such as in accordance with a signal having one or more data packets (e.g., data from one component interacting with another component in a local system, distributed system, and/or across a network such as the Internet with other systems via the signal). As another example, a component can be an apparatus with specific functionality provided by mechanical parts operated by electric or electronic circuitry, which is operated by a software or firmware application executed by a processor. In such a case, the processor can be internal or external to the apparatus and can execute at least a part of the software or firmware application. As yet another example, a component can be an apparatus that provides specific functionality through electronic components without mechanical parts, wherein the electronic components can include a processor or other means to execute software or firmware that confers at least in part the functionality of the electronic components. In an aspect, a component can emulate an electronic component via a virtual machine, e.g., within a cloud computing system.
In addition, the term “or” is intended to mean an inclusive “or” rather than an exclusive “or.” That is, unless specified otherwise, or clear from context, “X employs A or B” is intended to mean any of the natural inclusive permutations. That is, if X employs A; X employs B; or X employs both A and B, then “X employs A or B” is satisfied under any of the foregoing instances. Moreover, articles “a” and “an” as used in the subject specification and annexed drawings should generally be construed to mean “one or more” unless specified otherwise or clear from context to be directed to a singular form. As used herein, the terms “example” and/or “exemplary” are utilized to mean serving as an example, instance, or illustration. For the avoidance of doubt, the subject matter disclosed herein is not limited by such examples. In addition, any aspect or design described herein as an “example” and/or “exemplary” is not necessarily to be construed as preferred or advantageous over other aspects or designs, nor is it meant to preclude equivalent exemplary structures and techniques known to those of ordinary skill in the art.
As it is employed in the subject specification, the term “processor” can refer to substantially any computing processing unit or device comprising, but not limited to, single-core processors; single-processors with software multithread execution capability; multi-core processors; multi-core processors with software multithread execution capability; multi-core processors with hardware multithread technology; parallel platforms; and parallel platforms with distributed shared memory. Additionally, a processor can refer to an IC, an application specific IC (ASIC), a digital signal processor (DSP), a field programmable gate array (FPGA), a programmable logic controller (PLC), a complex programmable logic device (CPLD), a discrete gate or transistor logic, discrete hardware components, or any combination thereof designed to perform the functions described herein. Further, processors can exploit nano-scale architectures such as, but not limited to, molecular and quantum-dot based transistors, switches and gates, in order to optimize space usage or enhance performance of user equipment. A processor can also be implemented as a combination of computing processing units. In this disclosure, terms such as “store,” “storage,” “data store,” data storage,” “database,” and substantially any other information storage component relevant to operation and functionality of a component are utilized to refer to “memory components,” entities embodied in a “memory,” or components comprising a memory. It is to be appreciated that memory and/or memory components described herein can be either volatile memory or nonvolatile memory, or can include both volatile and nonvolatile memory. By way of illustration, and not limitation, nonvolatile memory can include read only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable ROM (EEPROM), flash memory, or nonvolatile random access memory (RAM) (e.g., ferroelectric RAM (FeRAM). Volatile memory can include RAM, which can act as external cache memory, for example. By way of illustration and not limitation, RAM is available in many forms such as synchronous RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDR SDRAM), enhanced SDRAM (ESDRAM), Synchlink DRAM (SLDRAM), direct Rambus RAM (DRRAM), direct Rambus dynamic RAM (DRDRAM), and Rambus dynamic RAM (RDRAM).
Additionally, the disclosed memory components of systems or computer-implemented methods herein are intended to include, without being limited to including, these and any other suitable types of memory.
What has been described above include mere examples of systems and computer-implemented methods. It is, of course, not possible to describe every conceivable combination of components or computer-implemented methods for purposes of describing this disclosure, but one of ordinary skill in the art can recognize that many further combinations and permutations of this disclosure are possible. Furthermore, to the extent that the terms “includes,” “has,” “possesses,” and the like are used in the detailed description, claims, appendices and drawings such terms are intended to be inclusive in a manner similar to the term “comprising” as “comprising” is interpreted when employed as a transitional word in a claim. The descriptions of the various embodiments have been presented for purposes of illustration, but are not intended to be exhaustive or limited to the embodiments disclosed. Many modifications and variations will be apparent to those of ordinary skill in the art without departing from the scope and spirit of the described embodiments. The terminology used herein was chosen to best explain the principles of the embodiments, the practical application or technical improvement over technologies found in the marketplace, or to enable others of ordinary skill in the art to understand the embodiments disclosed herein.
Claims
1. A system, comprising:
- at least one processor device that executes components stored in a memory, wherein the components comprise: a flow control device that distributes coolant through a channel embedded within a substrate of the at least one processor device; and a cooling controller component that adjusts the flow control device to direct the coolant to the substrate of the at least one processor device based on a determination that the at least one processor device is experiencing a thermal anomaly, wherein the coolant is transferred from a condenser to a wet/dry cooler via an outlet of the channel where heat of the at least one processor device is dissipated.
2. The system of claim 1, wherein the flow control device comprises micro-valves adapted to provide the coolant to the location of the thermal anomaly.
3. The system of claim 2, wherein the components further comprise:
- a communication component that generates a notification of a detection of the thermal anomaly.
4. The system of claim 1, wherein the flow control device comprises movable components adapted to redistribute the coolant.
5. The system of claim 1, further comprising at least one thermal sensor.
6. The system of claim 1, further comprising at least one capacitive sensor.
7. The system of claim 1, further comprising a sensor controller that detects the thermal anomaly in response to detection of a change of a calibration parameter associated with a sensor of the system.
8. The system of claim 1, wherein the components further comprise:
- a calibration component that performs a first calibration of a sensor of the system, and in response to determining a sensor malfunction, performs a second calibration of the sensor of the system.
9. A computer-implemented method, comprising:
- distributing, by a flow control device operatively coupled to a processor device having a plurality of chips and a plurality of respective substrates adjacent the plurality of chips, coolant to a substrate of the plurality of substrates of the processor device;
- detecting, by a sensor controller component, that the processor device is experiencing a thermal anomaly, wherein the sensor controller component is coupled to a plurality of sensors disposed at an inlet of a channel embedded within the substrate and an outlet of the channel to facilitate determination of a net temperature increase or decrease for the processor device, and wherein the sensor controller component is coupled to a plurality of sensors disposed at second inlets and second outlets of a second channel adjacent to the processor device; and
- detecting, by the sensor controller component, that a second processor device of the processor devices is not experiencing the thermal anomaly.
10. The computer-implemented method of claim 9, wherein the flow control device comprises micro-valves adapted to provide the coolant to a location of the thermal anomaly.
11. The computer-implemented method of claim 9, further comprising:
- generating, via a communication component, a notification of a detection of the thermal anomaly.
12. The computer-implemented method of claim 9, wherein the flow control device comprises movable components adapted to redistribute the coolant.
13. The computer-implemented method of claim 12, wherein a sensor of the plurality of sensors comprises a thermal sensor.
14. The computer-implemented method of claim 12, wherein a sensor of the plurality of sensors comprises a capacitive sensor.
15. The computer-implemented method of claim 12, wherein the sensor controller component detects the thermal anomaly in response to detection of a change of a calibration parameter associated with a sensor of the plurality of sensors.
16. The computer-implemented method of claim 12, further comprising:
- performing, by a calibration component, a first calibration of a sensor of the plurality of sensors, and in response to determining, by the sensor controller component, a sensor malfunction, performing, by the calibration component, a second calibration of the sensor.
17. A computer program product for a coolant distribution process, the computer program product comprising a computer readable storage medium having program instructions embodied therewith, the program instructions executable by a processor device to cause the processor device to:
- distribute, by a flow control device, coolant through a substrate of the processor device; and
- detect, by a sensor controller component, a location of a thermal anomaly of the processor device, wherein the sensor controller component is coupled to a plurality of sensors disposed at an inlet of a channel embedded within the substrate and an outlet of the channel, and wherein the sensor controller component is coupled to a second plurality of sensors disposed at second inlets and second outlets of a second channel adjacent to the processor device, wherein the flow control device comprises piezoelectric devices disposed in the inlet or in the outlet of the channel and that deform to increase or decrease flow impedance to provide the coolant to the location of the thermal anomaly.
18. The computer program product of claim 17, wherein the program instructions are further executable to:
- generate, via a communication component, a notification of a detection of the thermal anomaly.
19. The computer program product of claim 17, wherein the flow control device further comprises movable components adapted to redistribute the coolant.
20. (canceled)
21. The computer program product of claim 17, wherein a second flow control device is a passive structure that is fixed for a defined design of the channel.
22. The computer program product of claim 21, wherein a second flow control device is based on an integrated circuit layout and the cooling structure.
Type: Application
Filed: Jan 3, 2020
Publication Date: Jun 9, 2022
Inventors: Pradip Bose (Yorktown Heights, NY), Alper Buyuktosunoglu (White Plains, NY), Timothy Joseph Chainer (Putnam Valley, NY), Pritish Ranjan Parida (Fishkill, NY), Augusto Javier Vega (Astoria, NY)
Application Number: 16/733,362
