Abstract: Customized root processes for groups of applications in a computing device. A computing device (e.g., a mobile device) can monitor usage of applications. The device can then store data related to the usage of the applications, and group the applications into groups according to the stored data. The device can customize and execute a root process for a group of applications according to usage common to each application in the group. The device can generate patterns of prior executions shared amongst the applications in the group based on the stored data common to each application in the group, and execute the root process of the group according to the patterns. The device can receive a request to start an application from the group from a user of the device, and start the application upon receiving the request and by using the root process of the group of applications.

Abstract: Systems, methods and apparatuses to intelligently migrate content involving borrowed memory are described. For example, after the prediction of a time period during which a network connection between computing devices having borrowed memory degrades, the computing devices can make a migration decision for content of a virtual memory address region, based at least in part on a predicted usage of content, a scheduled operation, a predicted operation, a battery level, etc. The migration decision can be made based on a memory usage history, a battery usage history, a location history, etc. using an artificial neural network; and the content migration can be performed by remapping virtual memory regions in the memory maps of the computing devices.

Abstract: The present disclosure is directed to a distributed graphics processor unit (GPU) architecture that includes an array of processing nodes. Each processing node may include a GPU node that is coupled to its own fast memory unit and its own storage unit. The fast memory unit and storage unit may be integrated into a single unit or may be separately coupled to the GPU node. The processing node may have its fast memory unit coupled to both the GPU node and the storage node. The various architectures provide a GPU-based system that may be treated as a storage unit, such as solid state drive (SSD) that performs onboard processing to perform memory-oriented operations. In this respect, the system may be viewed as a “smart drive” for big-data near-storage processing.

Abstract: Methods, systems, and devices related to signal development caching in a memory device are described. In one example, a memory device in accordance with the described techniques may include a memory array, a sense amplifier array, and a signal development cache configured to store signals (e.g., cache signals, signal states) associated with logic states (e.g., memory states) that may be stored at the memory array (e.g., according to various read or write operations). The memory device may also include a controller configured to determine whether data associated with an address of the memory array is stored in one or more cache blocks of the signal development cache. As an example, the memory device may determine whether the data is stored in one or more cache blocks of the signal development cache based on mapping information associated with the address of the memory array.

Abstract: Methods, apparatuses, and systems for in- or near-memory processing are described. Bits of a first number may be stored on a number of memory elements, wherein each memory element of the number of memory elements intersects a digit line and an access line of a number of access lines. A number of signals corresponding to bits of a second number may be driven on the number of access lines to generate a number of output signals. A value equal to a product of the first number and the second number may be generated based on the number of output signals.

Abstract: A system for providing complex page access in memory devices, such as hybrid-bonded memory is disclosed. The system receives a plurality of requests for data, such as from a host device. The system identifies a memory page of a memory device storing data bits corresponding to the requested data. The memory page may be spread across a plurality of sections of a memory bank of the memory device. Each section of the memory bank being utilized for a portion of the memory page may be addressable by a separate row address. The system activates the memory page as a whole and enables the data to be accessed from different memory rows in different sections of the memory page of the memory device using the separate row addresses. The system accomplishes the foregoing instead of requiring access from only a single location of the memory bank at a time.

Abstract: Methods, systems, and devices related to write broadcast operations associated with a memory device are described. In one example, a memory device in accordance with the described techniques may include a memory array, a sense amplifier array, and a signal development cache configured to store signals (e.g., cache signals, signal states) associated with logic states (e.g., memory states) that may be stored at the memory array (e.g., according to various read or write operations). The memory device may enable read broadcast operations. A read broadcast may occur from the memory array to multiple locations of the signal development cache, for example via one or more multiplexers.

Abstract: Spiking events in a spiking neural network may be processed via a memory system. A memory system may store data corresponding to a group of destination neurons. The memory system may, at each time interval of a SNN, pass through data corresponding to a group of pre-synaptic spike events from respective source neurons. The data corresponding to the group of pre-synaptic spike events may be subsequently stored in the memory system.

Abstract: Methods, apparatuses, and systems for in-or near-memory processing are described. Bits of a first number may be stored on a number of memory elements, wherein each memory element of the number of memory elements intersects a bit line and a word line of a number of word lines. A number of signals corresponding to bits of a second number may be driven on the number of word lines to generate a number of output signals. A value equal to a product of the first number and the second number may be generated based on the number of output signals.

Abstract: Systems, methods and apparatuses of distributed computing based on memory as a service are described. For example, a set of networked computing devices can each be configured to execute an application that accesses memory using a virtual memory address region. Each respective device can map the virtual memory address region to the local memory for a first period of time during which the application is being executed in the respective device, map the virtual memory address region to a local memory of a remote device in the group for a second period of time after starting the application in the respective device and before terminating the application in the respective device, and request the remote device to process data in the virtual memory address region during at least the second period of time.

Abstract: Systems and methods for implementing shadow computations in base stations. The systems and methods can include a method including initiating, at a base station (such as a cellular base station), a shadow computation of a main computation executing for a mobile device. The main computation can include a computational task, and the shadow computation can be at least a part of or a derivative of the main computation. The method can also include executing, by the base station, the shadow computation.

Abstract: Methods, apparatuses, and systems for in- or near-memory processing are described. Spiking events in a spiking neural network may be processed via a memory system. A memory system may store a group of destination neurons, and at each time interval in a series of time intervals of a spiking neural network (SNN), pass through a group of pre-synaptic spike events from respective source neurons, wherein the group of pre-synaptic spike events are subsequently stored in memory.

Abstract: Methods, systems, and devices for inductive energy harvesting and signal development for a memory device are described. One or more inductors may be included in or coupled with a memory device and used to provide current for various operations of the memory device based on energy harvested by the inductors. An inductor may harvest energy based on current being routed through the inductor or based on being inductively coupled with a second inductor through which current is routed. After harvesting energy, an inductor may provide current, and the current provided by the inductor may be used to drive access lines or otherwise as part of executing one or more operations at the memory device. Such techniques may improve energy efficiency or improve the drive strength of signals for the memory device, among other benefits.

Abstract: The present disclosure is directed to systems and methods for a memory device such as, for example, a Processing-In-Memory Device that is configured to perform multiplication operations in memory using a popcount operation. A multiplication operation may include a summation of multipliers being multiplied with corresponding multiplicands. The inputs may be arranged in particular configurations within a memory array. Sense amplifiers may be used to perform the popcount by counting active bits along bit lines. One or more registers may accumulate results for performing the multiplication operations.

Abstract: An example system implementing a processing-in-memory pipeline includes: a memory array to store a plurality of look-up tables (LUTs) and data; a control block coupled to the memory array, the control block to control a computational pipeline by activating one or more LUTs of the plurality of LUTs; and a logic array coupled to the memory array and the control block, the logic array to perform, based on control inputs received from the control block, logic operations on the activated LUTs and the data.

Abstract: Systems, methods and apparatuses to intelligently migrate content involving borrowed memory are described. For example, after the prediction of a time period during which a network connection between computing devices having borrowed memory degrades, the computing devices can make a migration decision for content of a virtual memory address region, based at least in part on a predicted usage of content, a scheduled operation, a predicted operation, a battery level, etc. The migration decision can be made based on a memory usage history, a battery usage history, a location history, etc. using an artificial neural network; and the content migration can be performed by remapping virtual memory regions in the memory maps of the computing devices.

Abstract: Methods, apparatuses, and systems for in-or near-memory processing are described. Strings of bits (e.g., vectors) may be fetched and processed in logic of a memory device without involving a separate processing unit. Operations (e.g., arithmetic operations) may be performed on numbers stored in a bit-parallel way during a single sequence of clock cycles. Arithmetic may thus be performed in a single pass as numbers are bits of two or more strings of bits are fetched and without intermediate storage of the numbers. Vectors may be fetched (e.g., identified, transmitted, received) from one or more bit lines. Registers of a memory array may be used to write (e.g., store or temporarily store) results or ancillary bits (e.g., carry bits or carry flags) that facilitate arithmetic operations. Circuitry near, adjacent, or under the memory array may employ XOR or AND (or other) logic to fetch, organize, or operate on the data.

Abstract: Spiking events in a spiking neural network may be processed via a memory system. A memory system may store data corresponding to a group of destination neurons. The memory system may, at each time interval of a SNN, pass through data corresponding to a group of pre-synaptic spike events from respective source neurons. The data corresponding to the group of pre-synaptic spike events may be subsequently stored in the memory system.

Abstract: Methods, systems, and devices related to signal development caching in a memory device are described. In one example, a memory device in accordance with the described techniques may include a memory array, a sense amplifier array, and a signal development cache configured to store signals (e.g., cache signals, signal states) associated with logic states (e.g., memory states) that may be stored at the memory array (e.g., according to various read or write operations). The memory device may also include a controller configured to determine whether data associated with an address of the memory array is stored in one or more cache blocks of the signal development cache. As an example, the memory device may determine whether the data is stored in one or more cache blocks of the signal development cache based on mapping information associated with the address of the memory array.

Abstract: Systems and methods for performing a pattern matching operation in a memory device are disclosed. The memory device may include a controller and memory arrays where the memory arrays store different patterns along bit lines. An input pattern is applied to the memory array(s) to determine whether the pattern is stored in the memory device. Word lines may be activated in series or in parallel to search for patterns within the memory array. The memory array may include memory cells that store binary digits, discrete values or analog values.