Abstract: Techniques and tools for encoding enhancement layer video with quantization that varies spatially and/or between color channels are presented, along with corresponding decoding techniques and tools. For example, an encoding tool determines whether quantization varies spatially over a picture, and the tool also determines whether quantization varies between color channels in the picture. The tool signals quantization parameters for macroblocks in the picture in an encoded bit stream. In some implementations, to signal the quantization parameters, the tool predicts the quantization parameters, and the quantization parameters are signaled with reference to the predicted quantization parameters. A decoding tool receives the encoded bit stream, predicts the quantization parameters, and uses the signaled information to determine the quantization parameters for the macroblocks of the enhancement layer video. The decoding tool performs inverse quantization that can vary spatially and/or between color channels.

Abstract: A computing system including a processor configured to receive packet preamble binary data and packet header binary data associated with a satellite. The processor may generate a simulated signal that encodes the packet preamble binary data and the packet header binary data. The processor may receive a satellite downlink signal. Within each of a plurality of sample intervals of the satellite downlink signal, the processor may compute a respective correlation between the satellite downlink signal and at least a portion of the simulated signal. The processor may select an identified sample interval of the plurality of sample intervals based at least in part on the plurality of correlations. The processor may decode binary satellite signal data based at least in part on the identified sample of the satellite downlink signal. The processor may output the binary satellite signal data.

Abstract: Systems and methods are provided for automatically generating a fault-enabled software development kit (SDK) to test an application. The generating includes determining one or more faults based on codes associated with the SDK and a frequency of occurrences of faults while executing the SDK. A fault injector automatically injects the determined faults in select layers of code in the SDK and generates fault configuration data associated with the automatically injected faults in the SDK. The fault configuration data describes faults that have been injected in the fault-enabled SDK to test an application. The fault-enabled SDK tests the application without needs for modifying the application code for testing purposes. The fault-enabled SDK further provides types of faults that may be common in using the SDK without requiring application developers to have detailed understanding of internals of the SDK to test the application with simulated faults.

Abstract: Methods and apparatus for selectively performing speech processing in a hybrid speech processing system. The hybrid speech processing system includes at least one mobile electronic device and a network-connected server remotely located from the at least one mobile electronic device. The mobile electronic device is configured to use an embedded speech recognizer to process at least a portion of input audio to produce recognized text. A controller on the mobile electronic device determines whether to send information from the mobile electronic device to the server for speech processing. The determination of whether to send the information is based, at least in part, on an analysis of the input audio, the recognized text, or a semantic category associated with the recognized text.

Abstract: In an optical data transfer system, a beam modulator is configured to embed a set of data in an input beam. A multimode optical waveguide network has an in-coupling region for receiving the input beam. The multimode optical waveguide network is configured to guide the input beam to an out-coupling region of the multimode optical waveguide network. A spatial coherent detector is configured to measure a phase and an amplitude of an output optical field at multiple locations. The output optical field is at least partially defined by the input beam and thus exhibiting distortion effects caused by the passage of the beam through the multimode waveguide network. Signal processing is applied to an output of the spatial coherent detector, in order to compensate for the distortion effects, and thereby recover, from the output of the spatial coherent detector, the set of data embedded in the input beam.

Abstract: A particular method includes storing a manifest file and a parameters file at a data store. The manifest file and the parameters file are associated with a software deployment package. An application associated with the software deployment package is published to a first remote computing device and to a second remote computing device. The method includes receiving first parameter values from the first remote computing device and receiving second parameter values from the second remote computing device. The first parameter values are stored in a first region of the data store that is specific to the first computing device. The second parameter values are stored in a second region of the data store that is specific to the second computing device.

Abstract: Embodiments of the present disclosure include a digital circuit and method for multi-stage compression. Digital data values are compressed using a multi-stage compression algorithm and stored in a memory. A decompression circuit receives the values and performs a partial decompression. The partially compressed values are provided to a processor, which performs the final decompression. In one embodiment, a vector of N length compressed values are decompressed using a first bit mask into two N length sets having non-zero values. The two N length sets are further decompressed using two M length bit masks into M length sparse vectors, each having non-zero values.

Abstract: A computing system receives an instruction to initiate audio presentation of electronic communications for a recipient, and outputs an audio presentation responsive to the instruction. The audio presentation includes an initial portion that includes a presentation road map, and a subsequent portion that includes audible output of text content of a plurality of unreviewed electronic communications for the recipient. The presentation road map identifies an estimated duration of time to present the subsequent portion of the audio presentation.

Abstract: Systems and methods for object detection generate a feature pyramid corresponding to image data, and rescaling the feature pyramid to a scale corresponding to a median level of the feature pyramid, wherein the rescaled feature pyramid is a four-dimensional (4D) tensor. The 4D tensor is reshaped into a three-dimensional (3D) tensor having individual perspectives including scale features, spatial features, and task features corresponding to different dimensions of the 3D tensor. The 3D tensor is used with a plurality of attention layers to update a plurality of feature maps associated with the image data. Object detection is performed on the image data using the updated plurality of feature maps.

Abstract: Handling a memory fault based on detecting whether a memory pointer was invalidated by a pointer authentication (PA) failure. After an access to a memory pointer causes a memory fault, detecting that the memory pointer was invalidated by a PA failure includes creating a new memory pointer by replacing reserved bits of the memory pointer with a default value, and determining that the new memory pointer corresponds to a memory address that falls within executable memory. This determination includes determining that the memory address is within an executable memory page, determining that a call instruction is stored at a prior memory address that immediately precedes the memory address, and/or determining that the memory address corresponds to a code section of an executable file. The PA failure is handled based on logging the PA failure, terminating the application program, and/or resuming execution at an instruction stored at the memory address.

Abstract: A host computing device includes a host processor, host memory in electronic communication with the host processor, and an auxiliary service controller. The host computing device also includes a communication interface and a messaging interface between the host processor and the auxiliary service controller. A message handler is stored in the host memory. The message handler is executable by the host processor in response to detecting a messaging interface signal on the messaging interface. Execution of the message handler by the host processor causes a firmware update patch to be read from a shared memory region in the auxiliary service controller via the communication interface.

Abstract: Examples are disclosed that relate to improving speed and accuracy of touch input classification. In one example, a touch detection device includes an array of antennas configured to measure touch input and output a touch matrix of pixels having touch values corresponding to the touch input measured at each antenna of the array of antennas. The touch detection device further includes a neural network having an input layer including a plurality of nodes. Each node is configured to receive a touch value corresponding to a different pixel of the touch matrix. The neural network is configured to output classified touch data corresponding to the measured touch input based at least on the touch matrix.

Abstract: Methods, systems, and apparatuses are provided for detecting a missing security alert by receiving an alert sequence generated by a network security provider, applying the received alert sequence to a security incident model, receiving an indication from the security incident model that the received alert sequence corresponds to a security incident defined by a predetermined sequence of alerts that includes at least one alert missing from the received alert sequence, and generating a notification to the network security provider that indicates at least one of the security incident or the missing alert(s). In addition, the security incident model may be generated by providing a set of historical alerts and a set of historical security incidents to a machine learning algorithm to generate the security incident model.

Abstract: According to examples, an apparatus may include a processor that may, responsive to a secondary display being detected, cause a window including an option for a user to proceed with a location detection operation of the secondary display to be displayed on a primary display. The processor may also cause an icon to be displayed on the secondary display, track a movement of a cursor from the primary display to the icon displayed on the secondary display, and determine a position of the secondary display with respect to the primary display based on the tracked movement of the cursor. The processor may further store the determined position of the secondary display with respect to the primary display.

Abstract: Described herein are supervised machine learning techniques for generating a first machine learned model, which receives, as input, values for a set of utilization metrics for a server computer and generates, as output, a service-specific health score for the server computer, and for generating a second machine learned model, which receives, as input, values for the volume of application traffic directed to a group of server computers hosting the service for each of several prior time periods and generates, as output, an application traffic forecast for the group of server computers, for a future time period.

Abstract: The performance of a text parser implemented with a state machine is improved by reducing a critical dependence path. In one aspect, all possible current states for a given text input are read from a state table circuit, and the correct next state and output are then selected therefrom by an output multiplexer based on the current state, removing dependence on the current state from the table read, and allowing the read(s) to be pipelined. Further, multiple input units are configured to operate on multiple text characters in parallel, with each input unit propagating outputs for its state table circuit to the next downstream input unit. Each downstream input unit is configured to use the propagated states to provide the proper outputs to appropriates multiplexer inputs. The number of possible output states may be dynamically reduced, thereby reducing the size of the output multiplexer needed to select the next state.

Abstract: In some embodiments, techniques are provided for conducting similarity-based searches using DNA. In some embodiments, sets of features that represent stored data sets are encoded in DNA sequences such that a hybridization yield between a molecule having a given stored DNA sequence and a molecule having a reverse complement of a DNA sequence that encodes a set of features that represent a query data set reflects an amount of similarity between the set of features that represent the query data set and the set of features encoded in the given stored DNA sequence. In some embodiments, machine learning techniques are used to determine the DNA sequence encoding. In some embodiments, machine learning techniques are used to predict hybridization yields between DNA molecules.

Abstract: Logging cache line lifetime hints when recording an execution trace. A microprocessor detects occurrence of a first cache event that initiates a lifetime of a cache line within a memory cache, and initiates logging first trace information indicating a beginning of the lifetime of the cache line within the memory cache. Subsequently, the microprocessor detects occurrence of a second cache event that ends the lifetime of the cache line within the memory cache. Based on detecting the second cache event, the microprocessor initiates logging second trace information indicating an ending of the lifetime of the cache line within the memory cache.

Abstract: Disclosed in some examples are methods, systems, devices, and machine-readable mediums which provide for sidebar communication threads forked from, or related to, a principal thread. Messages in the sidebar communication thread may include a history of the principal thread, including one or more messages from the principal thread, and may include a proposed principal thread message that is the subject of the sidebar thread discussion. The sidebar thread may also include sidebar thread messages that carries the conversation of the sidebar thread participants. Once a termination condition is reached for the sidebar thread, the sidebar thread terminates and either the proposed principal thread message (as potentially modified by participants of the sidebar thread) becomes an accepted principal thread message and it is posted to the principal thread as if it was sent by the sidebar initiator or no message is posted (e.g., the proposed principal thread message is rejected).

Abstract: A system for generating a user interface described herein can include a processor to detect a plurality of display characteristics from a user interface manager, wherein the plurality of display characteristics correspond to a type of a device. The processor can also detect a list of applications being executed by the system and generate a user interface container by applying the plurality of display characteristics to each of the applications from the list of applications.

Abstract: Techniques of deploying fuel cells in a facility are described herein. In one embodiment, a method includes identifying a location of the receptacle at the facility that the fuel cell is connected upon detecting the fuel connector of the second side of the carrier being coupled to a fuel port at a receptacle at the facility. The method can then include generating and storing, in a database, a fuel cell record indicating that the fuel cell is physically connected to the receptacle at the identified location in the facility and instructing a control device in the facility corresponding to the identified location to provide fuel to the fuel cell via the fuel port, the fuel connector, the connection between the first side and the second side of the carrier, and the fuel inlet of the fuel cell.

Abstract: A system for power efficient image acquisition is configurable to capture, using an image sensor, a plurality of partial image frames including at least a first partial image frame and a second partial image frame. The first partial image frame is captured at a first timepoint using a first subset of image sensing pixels of the plurality of image sensing pixels of the image sensor. The second partial image frame is captured at a second timepoint using a second subset of image sensing pixels of the plurality of image sensing pixels of the image sensor. The second subset of image sensing pixels includes different image sensing pixels than the first subset of image sensing pixels, and the second timepoint is temporally subsequent to the first timepoint. The system is configurable to generate a composite image frame based on the plurality of partial image frames.

Abstract: Email has become commonplace as a means to communicate among parties non-synchronously by exchanging email messages. Some communications, however, may be more effective in real-time or in near real-time. For instance, service providers may offer a chat feature to accommodate real-time or near real-time help or service communications with customers. However, in this case, the user is likely required to enter credentials and/or context information to transition into a different communication type with the service provider. The present systems and methods provide a continuous conversation experience for the user whereby a message recipient of one message type (e.g., email, text, etc.) may continue a conversation in a different message type (e.g., a chat session, instant message, etc.) without manually providing message context for communicating via the second message type.

Abstract: A computing device includes a system-on-a-chip. The computing device comprises a network interface controller (NIC) that hosts a plurality of virtual functions and physical functions. Two or more compute nodes are coupled to the NIC. Each compute node is configured to operate a plurality of Virtual Machines (VMs). Each VM is configured to operate in conjunction with a virtual function via a virtual function driver. A dedicated VM operates in conjunction with a virtual NIC using a physical function hosted by the NIC via a physical function driver hosted by the compute node. The computing device further comprises a fabric manager configured to own a physical function of the NIC, to bind virtual functions hosted by the NIC to individual compute nodes, and to pool I/O devices across the two or more compute nodes.

Abstract: The discussion relates to cooling computing devices and specifically to managing two-phase cooling. One example can include a two-phase liquid immersion tank containing heat generating components and a liquid phase of a coolant having a boiling point within an operating temperature range of the heat generating components. The example can also include a stratification chamber fluidly coupled to the liquid immersion tank and configured to at least partially separate a gas phase of the coolant from other gases. The example can further include a condenser chamber fluidly coupled to the stratification chamber and configured to receive the gas phase of the coolant and cause the gas phase of the coolant to phase change back into the liquid phase of the coolant.

Abstract: A plurality of computing devices are provisioned configured to communicate on a mobile communications network operated, in part, by an edge computing network. The edge computing network is associated with a customer of a computing service provider. The edge computing network comprises computing and storage devices configured to extend computing resources of the computing service provider to the customer of the computing service provider. A selection is received of a SIM provider and a quantity of SIM profiles for enabling the plurality of computing devices to access the mobile communications network. SIM data corresponding to the quantity of SIM profiles is received. The SIM data is encrypted and received over an encrypted channel.

Abstract: An electrical connector includes a receptacle connector having a tongue member with a surface extending between first and second tongue ends and having a shoulder extending from the surface adjacent to the second tongue end. The shoulder has a cross-sectional area within a receptacle opening size limit. The receptacle connector further includes a set of electrical contacts each extending through the shoulder between first and second contact ends on opposite sides of the shoulder. The electrical contacts at the first contact end are attached to the tongue surface at the first tongue end. The electrical contacts at the second contact end extend beyond the second tongue end. The receptacle connector further includes an electromagnetic interference (EMI) shielding bracket covering at least a portion of the set of electrical contacts between the first contact end and the shoulder. The disclosure further includes a method of making the electrical connector.

Abstract: Technology is disclosed for selecting at least one icebreaker people highlight, with respect to a person of interest in a target group, to be shown on one or more user devices. The target group is determined, along with a set of feature values in common among the target group. Similarly, a reference group related to the target group is determined, along with a set of feature values for the reference group. For each feature value in the set of common target group feature values, a frequency of the feature value with respect to the determined reference group is determined. Based on the determined frequency, at least one icebreaker people highlight from the determined set of feature values in common among the target group is caused to be presented on the user device.

Abstract: A transcription of audio speech included in electronic content associated with a meeting is created by an ASR model trained on speech-to-text data. The transcription is post-processed by modifying text included in the transcription, for example, by modifying punctuation, grammar, or formatting introduced by the ASR model and by changing or omitting one or more words that were included in both the audio speech and the transcription. After the transcription is post-processed, output based on the post-processed transcription is generated in the form of a meeting summary and/or template.

Abstract: The principles described herein relate to the training and implementation of a model designed to estimate the probability of new security incidents being true incidents. This occurs in an environment where a service such as a SIEM monitors a network of computing systems and other resources and detects a variety of incidents that could be security threats. These incidents are reported to the SOC for investigation and the SOC will take appropriate action to mitigate potential threats of true security breaches. As part of the investigation process, the SOC can label whether a security incident is true, false or benign. After labeling enough security incidents a model can be produced to estimate the probability that new security incidents are true incidents. This would help the SOC filter through security incidents more efficiently and allow for quicker response of the most likely security breaches.

Abstract: In an example embodiment, a deep learning algorithm is introduced that operates on a transition matrix formed from user activities in an online network. The transition matrix records the frequencies that particular transitions between paths of user activity have occurred (e.g., the user performed a login activity, which has one path in the network, and then performed a profile view action, which has another path in the network). Each transition matrix corresponds to a different user's activities.

Abstract: Methods, systems, apparatuses, and computer-readable storage mediums are described for machine learning-based techniques for identifying a deployment environment in which computing resources (e.g., servers, virtual machines, databases, etc.) reside and for enhancing security for the identified deployment environment. For instance, usage data is collected from the computing resources. The usage data is featurized and provided to a machine learning-based classification model that determines a deployment environment in which the computing resources reside based on the featurized usage data. Once the deployment environment is identified, a security policy that is applicable for the identified deployment environment is determined. The security policy specifies a plurality of recommended security settings that should be applied to the computing resources included in the identified deployment environment. The recommended security settings may be provided to the user (e.g.

Abstract: Examples are disclosed that relate to the restoration of degraded images acquired via a behind-display camera. One example provides a method of training a machine learning model, the method comprising inputting training image pairs into the machine learning model, each training image pair comprising an undegraded image and a degraded image that represents an appearance of the undegraded image to a behind-display camera, and training the machine learning model using the training image pairs to generate frequency information that is missing from the degraded images.

Abstract: A data processing system implements receiving textual content from a first application on a first client device associated with a first user for analysis by a context adaptive writing assistant configured to provide suggestions for improving the textual content, obtaining contextual information indicative of a level of formality of the textual content; and categorizing the textual content as being associated with a first level of formality selected from a plurality of levels of formality. The system is further implements analyzing the textual content to identify one or more suggested improvements to the textual content; selecting a subset of suggested improvements from the one or more suggested improvements to the textual content to the first user based on the first level of formality associated with the textual content; sending the subset of suggested improvements to the first client device; and causing the first client device to display the subset of suggested improvements.

Abstract: A wearable computing device, including a device body configured to be affixed to a body of a user. The wearable computing device may further include an inertial measurement unit (IMU) and a processor. The processor may receive kinematic data from the IMU while the device body is affixed to the body of the user. The processor may perform a first coordinate transformation on the kinematic data into a training coordinate frame of a training wearable computing device. At a first machine learning model trained using training data including training kinematic data collected at the training wearable computing device, the processor may compute a training-frame velocity estimate for the wearable computing device based on the transformed kinematic data. The processor may perform a second coordinate transformation on the training-frame velocity estimate to obtain a runtime-frame velocity estimate and may output the runtime-frame velocity estimate to a target program.

Abstract: A user can select a capacity setting for a transitional partition that determines the allocation between a low-density partition and a high-density partition in the transitional partition. The transitional partition can dynamically change among multiple settings having different capacities for the low-density partition. If the current setting of the transitional partition does not efficiently utilize the available storage space based on the user's preferences for storing different types of data in the low-density partition and the high-density partition, then the user can choose to change the transitional partition to a different setting that better suits the individual user's storage allocation preferences. Therefore, valuable storage space will not be under-utilized but instead will be repurposed for more efficient use by converting a low-density partition to a high-density partition, and vice versa.

Abstract: The description relates to deep learning cluster scheduler modular toolkits. One example can include generating a deep learning cluster scheduler modular toolkit that includes multiple DL scheduler abstraction modules and interactions between the multiple DL scheduler abstraction modules and allows user composition of the multiple DL scheduler abstraction modules to realize a deep learning scheduler.

Abstract: A computing system including a plurality of processing devices configured to execute a Mixture-of-Experts (MoE) layer included in an MoE model. The processing devices are configured to execute the MoE layer at least in part by, during a first collective communication phase between the processing devices, splitting each of a plurality of first input tensors along a first dimension to obtain first output tensors. Executing the MoE layer further includes processing the first output tensors at a respective a plurality of expert sub-models to obtain a plurality of second input tensors. Executing the MoE layer further includes, during a second collective communication phase between the processing devices, receiving the second input tensors from the expert sub-models and concatenating the second input tensors along the first dimension to obtain second output tensors. Executing the MoE layer further includes outputting the second output tensors as output of the MoE layer.

Abstract: Techniques and tools for encoding enhancement layer video with quantization that varies spatially and/or between color channels are presented, along with corresponding decoding techniques and tools. For example, an encoding tool determines whether quantization varies spatially over a picture, and the tool also determines whether quantization varies between color channels in the picture. The tool signals quantization parameters for macroblocks in the picture in an encoded bit stream. In some implementations, to signal the quantization parameters, the tool predicts the quantization parameters, and the quantization parameters are signaled with reference to the predicted quantization parameters. A decoding tool receives the encoded bit stream, predicts the quantization parameters, and uses the signaled information to determine the quantization parameters for the macroblocks of the enhancement layer video. The decoding tool performs inverse quantization that can vary spatially and/or between color channels.

Abstract: A computing system including a processor configured to receive a stabilizer circuit specification of a stabilizer circuit that includes one or more elementary operations. The elementary operations are each selected from the group consisting of an allocation of one or more qubits in a stabilizer state, an allocation of one or more random classical bits, a Clifford unitary, a Pauli unitary conditional on respective parities of measurement outcomes and/or respective parities of the random classical bits, a joint multi-qubit Pauli measurement, and a destructive one-qubit Pauli measurement. The processor is further configured to compute a standardized stabilizer instrument specification of a stabilizer instrument based at least in part on the stabilizer circuit specification. The standardized stabilizer instrument specification includes an input Clifford unitary, an output Clifford unitary, and a plurality of bit matrices.

Abstract: Computing devices and methods for performing touch detection on a touch screen display and trackpad are disclosed. In one example, a trackpad input signal from a trackpad is received at a processor of the device. Using at least the trackpad input signal, a touch screen touch detection algorithm is modified. A touch screen input signal is then received at the processor from the touch screen display. The touch screen input signal is processed with the modified touch screen touch detection algorithm.

Abstract: A method of recommending an unplayed game application to a user includes obtaining a game history associated with a user profile, wherein the game history includes at least one game record of a game application the user profile has been used to play, and evaluating the game history to obtain a plurality of game events associated with a game application of the game history. The method further includes accessing a table of tags associated with the plurality of game events associated with the game application, aggregating a plurality of tags in a tag list in the user profile based at least partially on the table of tags and the plurality of game events, and presenting to the user a recommendation of an unplayed game application based at least partially on the plurality of tags.

Abstract: Systems and methods for efficiently querying distributed data are disclosed. An example method includes receiving a query from a device; transmitting the query to multiple distributed data stores; receiving, from the data stores, first data items satisfying the query; generating first-page results from the first data items; based on the first-page results, generating a first-page watermark; transmitting the first-page results and the first-page watermark to the device; receiving a second-page request from the device, the second-page request including the query and the first-page watermark; transmitting the query and at least a portion of the first-page watermark to the data stores; receiving, from the data stores, second data items satisfying the query and the portion of the first-page watermark; generating second-page results from the received second data items; and transmitting the second-page results to the device.

Abstract: System and methods for performing analytical operations are described. A hardware-based regular expression (RegEx) engine performs a regular expression operation on a stream of data units based on a finite automata (FA) graph. Performing includes configuring a regular expression engine of a hardware-based regular expression accelerator to, beginning at a root node in the plurality of nodes of the FA graph, step the regular expression engine through one or more nodes of the FA graph until the regular expression engine arrives at a skip node and to consume, at the skip node, two or more data units from the stream of data units before traversing one of the directional arcs to another node.

Abstract: A computing system is provided, including a plurality of processing devices configured to execute a Mixture-of-Experts (MoE) layer included in an MoE model. The MoE layer includes a plurality of expert sub-models that each have a respective plurality of parameter values. The MoE layer is configured to be switchable between a data parallel mode and an expert-data-model parallel mode without conveying the respective parameter values of the expert sub-models among the plurality of processing devices.

Abstract: The techniques disclosed herein provide an enhanced single sign-on flow for secure computing resources, such as a virtual machine or hosted applications. In some configurations, the techniques process different types of security data, e.g., credentials, tokens, certificates, and reference objects at specific computing entities of a system to provide a single sign-on flow for providing access to secure computing resources from a client computing device. In one illustrative example, a select type of security data, such as a certificate, is generated from a token and a claim at a particular computing resource, such as an agent operating on a virtual machine. In another example, a signed version of the certificate can be stored and verified at the virtual machine. By generating certificates at such particular computing resources, the computing resource can verify a person's credentials using a secure single sign-on flow without requiring the person to provide credentials multiple times.

Abstract: The present disclosure provides method and apparatus for automatically generating motions of an avatar. A message in a session between a user and an electronic conversational agent may be obtained, the avatar being a visual representation of the electronic conversational agent. At least one facial animation and/or body animation may be determined based on at least one part of the message. At least one motion of the avatar may be generated based at least on the facial animation and/or the body animation.

Abstract: A copy-on-write union filesystem. A computer system identifies a first filesystem namespace as a mutable layer, and a second filesystem namespace as an immutable layer. The computer system exposes a merged filesystem namespace as a union filesystem that merges the mutable layer and the immutable layer, and that overlays the first filesystem namespace over the second filesystem namespace. The computer system identifies an operation on the merged filesystem namespace that requests to read from a file within the merged filesystem namespace, the file being stored in the second filesystem namespace and not being stored in the first filesystem namespace. The computer system returns a handle referencing a proxy object stored in a system memory. The proxy object includes a mapping to a file object corresponding to the file as stored in the second filesystem namespace.

Abstract: The present disclosure provides a method and apparatus for scheduling a plurality of available graphics processing units (GPUs). Multiple GPU pools may be set, wherein each GPU pool is configured to serve one or more jobs requiring the same number of GPUs. Available GPUs may be assigned to each GPU pool. A job and job information related to the job may be received, wherein the job information indicates a number of GPUs required for performing the job. A corresponding GPU pool may be selected from the multiple GPU pools based at least on the job information. Available GPUs to be scheduled to the job in the selected GPU pool may be determined based at least on the job information. In addition, the determined available GPUs may be scheduled to the job.

Abstract: A display system includes an integrated laser and modulator device and a display assembly. The integrated laser and modulator device includes a laser component configured to facilitate light emission responsive to applied current and a modulator component configured to selectively modulate light responsive to applied signal. The modulator component is integrally coupled to the laser component via a bridging structure that intervenes between the laser component and the modulator component. At least a portion of the bridging structure facilitates power reflectivity into a laser cavity of the laser component. The bridging structure facilitates transmission of light emitted by the laser component into the modulator component for modulation by the modulator component to provide modulated light. The display assembly is configured to direct the modulated light provided by the integrated laser and modulator device to illuminate pixels to form an image.