Abstract: A generator for generating artificial data, and training for the same. Data corresponding to a first label is altered within a reference labeled data set. A discriminator is trained based on the reference labeled data set to create a selectively poisoned discriminator. A generator is trained based on the selectively poisoned discriminator to create a selectively poisoned generator. The selectively poisoned generator is tested for the first label and tested for the second label to determine whether the generator is sufficiently poisoned for the first label and sufficiently accurate for the second label. If it is not, the generator is retrained based on the data set including the further altered data. The generator includes a first ANN to input first information and output a set of artificial data that is classifiable using a first label and not classifiable using a second label of the set of labeled data.

Abstract: A system and method for load queue (LDQ) and store queue (STQ) entry allocations at address generation time that maintains age-order of instructions is described. In particular, writing LDQ and STQ entries are delayed until address generation time. This allows the load and store operations to dispatch, and younger operations (which may not be store and load operations) to also dispatch and execute their instructions. The address generation of the load or store operation is held at an address generation scheduler queue (AGSQ) until a load or store queue entry is available for the operation. The tracking of load queue entries or store queue entries is effectively being done in the AGSQ instead of at the decode engine. The LDQ and STQ depth is not visible from a decode engine's perspective, and increases the effective processing and queue depth.

Abstract: A method and apparatus provides for compiling a plurality of shaders, each shader having a plurality of computer-readable statements, into a plurality of computer-executable instructions. In one example, the method and apparatus, using a computing device, receives the plurality of shaders used in a process pipeline for performing at least one shading function, determines a shader type of each of the plurality of shaders based on the at least one shading function, and compiles the plurality of shaders by generating the computer-executable instructions using data including a shader descriptor for each of the plurality of shaders, resulting in the shading functions of the plurality of shaders combined together.

Abstract: A method and device generates a slab identifier and a hash function identifier in response to a memory allocation request with a request identifier and allocation size from a memory allocation requestor. The slab identifier indicates a memory region associated with a base data size and the hash function identifier indicates a hash function. The method and device provides a bit string including the slab identifier and the hash function identifier to the memory allocation requestor.

Abstract: Platform power management includes boosting performance in a platform power boost mode or restricting performance to keep a power or temperature under a desired threshold in a platform power cap mode. Platform power management exploits the mutually exclusive nature of activities and the associated headroom created in a temperature and/or power budget of a server platform to boost performance of a particular component while also keeping temperature and/or power below a threshold or budget.

Abstract: Systems, apparatuses, and methods for maintaining separate pending load and store counters are disclosed herein. In one embodiment, a system includes at least one execution unit, a memory subsystem, and a pair of counters for each thread of execution. In one embodiment, the system implements a software based approach for managing dependencies between instructions. In one embodiment, the execution unit(s) maintains counters to support the software-based approach for managing dependencies between instructions. The execution unit(s) are configured to execute instructions that are used to manage the dependencies during run-time. In one embodiment, the execution unit(s) execute wait instructions to wait until a given counter is equal to a specified value before continuing to execute the instruction sequence.

Abstract: A processing device and a method of tiled rendering of an image for display is provided. The processing device includes memory and a processor. The processor is configured to receive the image comprising one or more three dimensional (3D) objects, divide the image into tiles, execute coarse level tiling for the tiles of the image and execute fine level tiling for the tiles of the image. The processing device also includes same fixed function hardware used to execute the coarse level tiling and the fine level tiling. The processor is also configured to determine visibility information for a first one of the tiles. The visibility information is divided into draw call visibility information and triangle visibility information for each remaining tile of the image.

Abstract: Methods and systems for load balancing in a neural network system using metadata are disclosed. Any one or a combination of one or more kernels, one or more neurons, and one or more layers of the neural network system are tagged with metadata. A scheduler detects whether there are neurons that are available to execute. The scheduler uses the metadata to schedule and load balance computations across compute resources and available resources.

Abstract: Automatic part testing includes: booting a part under testing into a first operating environment; executing, via the first operating environment, one or more test patterns on the part; performing a comparison between one or more observed characteristics associated with the one or more test patterns and one or more expected characteristics; and modifying one or more operational parameters of a central processing unit of the part based on the comparison.

Abstract: A portion of a graph dataset is generated for each computing node in a distributed computing system by, for each subject vertex in a graph, recording for the computing node an offset for the subject vertex, where the offset references a first position in an edge array for the computing node, and for each edge of a set of edges coupled with the subject vertex in the graph, calculating an edge value for the edge based on a connected vertex identifier identifying a vertex coupled with the subject vertex via the edge. When the edge value is assigned to the first position, the edge value is determined by a first calculation, and when the edge value is assigned to position subsequent to the first position, the edge value is determined by a second calculation. In the computing node, the edge value is recorded in the edge array.

Abstract: Systems, apparatuses, and methods for implementing raster order view enforcement techniques are disclosed. A processor includes a plurality of compute units coupled to one or more memories. A plurality of waves are launched in parallel for execution on the plurality of compute units, where each wave comprises a plurality of threads. A dependency chain is generated for each wave of the plurality of waves. The compute units wait for all older waves to complete dependency chain generation prior to executing any threads with dependencies. Responsive to all older waves completing dependency chain generation, a given thread with a dependency is executed only if all other threads upon which the given thread is dependent have become inactive. When executed, the plurality of waves generate a plurality of pixels to be driven to a display.

Abstract: A server includes a plurality of nodes that are connected by a network that includes an on-chip network or an inter-chip network that connects the nodes. The server also includes a controller to configure the network based on relative priorities of workloads that are executing on the nodes. Configuring the network can include allocating buffers to virtual channels supported by the network based on the relative priorities of the workloads associated with the virtual channels, configuring routing tables that route the packets over the network based on the relative priorities of the workloads that generate the packets, or modifying arbitration weights to favor granting access to the virtual channels to packets generated by higher priority workloads.

Abstract: Described are a method and processing apparatus to tag and track objects related to memory allocation calls. An application or software adds a tag to a memory allocation call to enable object level tracking. An entry is made into an object tracking table, which stores the tag and a variety of statistics related to the object and associated memory devices. The object statistics may be queried by the application to tune power/performance characteristics either by the application making runtime placement decisions, or by off-line code tuning based on a previous run. The application may add a tag to a memory allocation call to specify the type of memory characteristics requested based on the object statistics.

Abstract: A technique for fine-granularity speed binning for a processing device is provided. The processing device includes a plurality of clock domains, each of which may be clocked with independent clock signals. The clock frequency at which a particular clock domain may operate is determined based on the longest propagation delay between clocked elements in that particular clock domain. The processing device includes measurement circuits for each clock domain that measure such propagation delay. The measurement circuits are replica propagation delay paths of actual circuit elements within each particular clock domain. A speed bin for each clock domain is determined based on the propagation delay measured for the measurement circuits for a particular clock domain. Specifically, a speed bin is chosen that is associated with the fastest clock speed whose clock period is longer than the slowest propagation delay measured for the measurement circuit for the clock domain.

Abstract: Systems, apparatuses, and methods for implementing a hardware enforcement mechanism to enable platform-specific firmware visibility into an error state ahead of the operating system are disclosed. A system includes at least one or more processor cores, control logic, a plurality of registers, platform-specific firmware, and an operating system (OS). The control logic allows the platform-specific firmware to decide if and when the error state is visible to the OS. In some cases, the platform-specific firmware blocks the OS from accessing the error state. In other cases, the platform-specific firmware allows the OS to access the error state such as when the OS needs to unmap a page. The control logic enables the platform-specific firmware, rather than the OS, to make decisions about the replacement of faulty components in the system.

Abstract: An electronic device includes a non-volatile memory and a controller. The controller receives data to be written to the non-volatile memory and determines a type of the data. Based on the type of the data, the controller selects a given duration of the data from among multiple durations of the data in the non-volatile memory. The controller sets values of one or more parameters for writing the data to the non-volatile memory based on the given duration. The controller writes the data to the non-volatile memory using the values of the one or more write parameters.

Abstract: A processing device is provided which comprises memory configured to store data and a plurality of processor cores in communication with each other via first and second hierarchical communication links. Processor cores of a first hierarchical processor core group are in communication with each other via the first hierarchical communication links and are configured to store, in the memory, a sub-portion of data of a first matrix and a sub-portion of data of a second matrix. The processor cores are also configured to determine a product of the sub-portion of data of the first matrix and the sub-portion of data of the second matrix, receive, from another processor core, another sub-portion of data of the second matrix and determine a product of the sub-portion of data of the first matrix and the other sub-portion of data of the second matrix.

Abstract: A method, system, and non-transitory computer readable storage medium for rasterizing primitives are disclosed. The method, system, and non-transitory computer readable storage medium includes: generating a primitive batch from a sequence of one or more primitives, wherein the primitive batch includes primitives sorted into one or more row groups based on which row of a plurality of rows each primitive intersects; and processing each row group, the processing for each row group including: identifying one or more primitive column intercepts for each of the one or more primitives in the row group, wherein each combination of primitive column intercept and row identifies a bin; and rasterizing the one or more primitives that intersect the bin.

Abstract: A technique for performing ray tracing operations is provided. The technique includes initiating bounding volume hierarchy traversal for a ray against geometry represented by a bounding volume hierarchy; identifying multiple nodes of the bonding volume hierarchy for concurrent intersection tests; and performing operations for the concurrent intersection tests concurrently.

Abstract: A power management algorithm framework proposes: 1) a Quality-of-Service (QoS) metric for throughput-based workloads; 2) heuristics to differentiate between throughput and latency sensitive workloads; and 3) an algorithm that combines the heuristic and QoS metric to determine target frequency for minimizing idle time and improving power efficiency without any performance degradation. A management algorithm framework enables optimizing power efficiency in server-class throughput-based workloads while still providing desired performance for latency sensitive workloads. The power savings are achieved by identifying workloads in which one or more cores can be run at a lower frequency (and consequently lower power) without a significant negative performance impact.