Abstract: An apparatus and method are described for managing data which is biased towards a processor or a GPU. For example, an apparatus comprises a processor comprising one or more cores, one or more cache levels, and cache coherence controllers to maintain coherent data in the one or more cache levels; a graphics processing unit (GPU) to execute graphics instructions and process graphics data, wherein the GPU and processor cores are to share a virtual address space for accessing a system memory; a GPU memory addressable through the virtual address space shared by the processor cores and GPU; and bias management circuitry to store an indication for whether the data has a processor bias or a GPU bias, wherein if the data has a GPU bias, the data is to be accessed by the GPU without necessarily accessing the processor's cache coherence controllers.

Abstract: A mechanism is described for facilitating inference coordination and processing utilization for machine learning at autonomous machines. A method of embodiments, as described herein, includes detecting, at training time, information relating to one or more tasks to be performed according to a training dataset relating to a processor including a graphics processor. The method may further include analyzing the information to determine one or more portions of hardware relating to the processor capable of supporting the one or more tasks, and configuring the hardware to pre-select the one or more portions to perform the one or more tasks, while other portions of the hardware remain available for other tasks.

Abstract: An embodiment of an electronic processing system may include an application processor, persistent storage media communicatively coupled to the application processor, and a graphics subsystem communicatively coupled to the application processor. The graphics subsystem may include a first graphics engine to process a graphics workload, and a second graphics engine to offload at least a portion of the graphics workload from the first graphics engine. The second graphics engine may include a low precision compute engine. The system may further include a wearable display housing the second graphics engine. Other embodiments are disclosed and claimed.

Abstract: Systems and methods for improving cache efficiency and utilization are disclosed. In one embodiment, a graphics processor includes processing resources to perform graphics operations and a cache controller of a cache coupled to the processing resources. The cache controller is configured to control cache priority by determining whether default settings or an instruction will control cache operations for the cache.

Abstract: An embodiment of an electronic processing system may include an application processor, persistent storage media communicatively coupled to the application processor, and a graphics subsystem communicatively coupled to the application processor. The system may include one or more of a draw call re-orderer communicatively coupled to the application processor and the graphics subsystem to re-order two or more draw calls, a workload re-orderer communicatively coupled to the application processor and the graphics subsystem to re-order two or more work items in an order independent mode, a queue primitive included in at least one of the two or more draw calls to define a producer stage and a consumer stage, and an order-independent executor communicatively coupled to the application processor and the graphics subsystem to provide tile-based order independent execution of a compute stage. Other embodiments are disclosed and claimed.

Abstract: An apparatus to facilitate compute optimization is disclosed. The apparatus includes a mixed precision core including mixed-precision execution circuitry to execute one or more of the mixed-precision instructions to perform a mixed-precision dot-product operation comprising to perform a set of multiply and accumulate operations.

Abstract: Systems, apparatuses and methods may include a source device that generates a scene change notification in response to a movement of a camera, modifies an encoding scheme associated with the video content captured by the camera in response to the scene change notification, identifies a full-frame difference threshold, wherein scene analysis information includes frame difference data, and compares the frame difference data to an intermediate threshold that is less than the full-frame difference threshold, wherein the scene change notification is generated when the frame difference data exceeds the intermediate threshold. A sink device may obtain transport quality data associated with video content, modify an output parameter of a display based on the transport quality data, determine a view perspective of a still image containing a plurality of image slices, retrieve only a subset of the plurality of image slices based on the view perspective and decode the retrieved subset.

Abstract: Embodiments described herein provide an apparatus comprising a processor to allocate a first memory space for data for a graphics workload, the first memory comprising a first plurality of addressable memory locations, allocate a second memory space for compression metadata relating to the data for the graphics workload, the second memory space comprising a second plurality of addressable memory locations and having an amount of memory corresponding to a predetermined ratio of the amount of memory allocated to first memory space, and configure a direct memory mapping between the first plurality of addressable memory locations and the second plurality of addressable memory locations. Other embodiments may be described and claimed.

Abstract: Methods and apparatus relating to techniques for power management. In an example, an apparatus comprises logic, at least partially comprising hardware logic, to receive one or more frames for a workload, determine one or more compute resource parameters for the workload, and store the one or more compute resource parameters for the workload in a memory in association with workload context data for the workload. Other embodiments are also disclosed and claimed.

Abstract: A mechanism is described for facilitating fast data operations and for facilitating a finite state machine for machine learning at autonomous machines. A method of embodiments, as described herein, includes detecting input data to be used in computational tasks by a computation component of a processor including a graphics processor. The method may further include determining one or more frequently-used data values (FDVs) from the data, and pushing the one or more frequent data values to bypass the computational tasks.

Abstract: The present invention relates generally to the field of beverages. In particular, the present invention relates to the field of beverages fortified with iron. For example, the present inventors have found that iron fortification with ferrous bisglycinate in a red plant based beverage with a pH in the range of 3.5 to 4.0 leads to an increased colour stability and a better taste of the beverage compared to other compounds commonly used to fortify beverages with iron.

Abstract: The present invention relates in general to meat analogue products suitable for the vegan consumer. In particular, it relates to a ground meat analogue product and method of making thereof.

Abstract: Systems and methods may provide for occlusion detection in frame rate conversion. Detecting the occlusion allows frame rate conversion to be more accurately performed. In some embodiments, one or more stereoscopic depth cameras may be used to determine the depth of a moving object to more accurately determine the occlusion. In some embodiments, the compression ratio may be adjusted to balance the frame rate and power to help ensure compliance with a power budget. In at least some embodiments, the motion of a camera may be passed from a 3D render pipe to an encoder to avoid motion calculation and thereby saving power.

Abstract: One embodiment provides for a graphics processing unit (GPU) to accelerate machine learning operations, the GPU comprising an instruction cache to store a first instruction and a second instruction, the first instruction to cause the GPU to perform a floating-point operation, including a multi-dimensional floating-point operation, and the second instruction to cause the GPU to perform an integer operation; and a general-purpose graphics compute unit having a single instruction, multiple thread (SIMT) architecture, the general-purpose graphics compute unit to simultaneously execute the first instruction and the second instruction, wherein the integer operation corresponds to a memory address calculation.

Abstract: Embodiments are generally directed to data prefetching for graphics data processing. An embodiment of an apparatus includes one or more processors including one or more graphics processing units (GPUs); and a plurality of caches to provide storage for the one or more GPUs, the plurality of caches including at least an L1 cache and an L3 cache, wherein the apparatus to provide intelligent prefetching of data by a prefetcher of a first GPU of the one or more GPUs including measuring a hit rate for the L1 cache; upon determining that the hit rate for the L1 cache is equal to or greater than a threshold value, limiting a prefetch of data to storage in the L3 cache, and upon determining that the hit rate for the L1 cache is less than a threshold value, allowing the prefetch of data to the L1 cache.

Abstract: Methods and apparatus relating to techniques for avoiding cache lookup for cold cache. In an example, an apparatus comprises logic, at least partially comprising hardware logic, to receive a completion acknowledgment from the plurality of graphics processing units and in response to a determination that the workload is finished, to terminate one or more communication connections on the interconnect bridge. Other embodiments are also disclosed and claimed.

Abstract: An apparatus to facilitate thread barrier synchronization is disclosed. The apparatus includes a plurality of processing resources to execute a plurality of execution threads included in a thread workgroup and barrier synchronization hardware to assign a first named barrier to a first set of the plurality of execution threads in the thread workgroup, assign a second named barrier to a second set of the plurality of execution threads in the thread workgroup, synchronize execution of the first set of execution threads via the first named barrier and synchronize execution of the second set of execution threads via the second named barrier.

Abstract: Methods and apparatus relating to scalar core integration in a graphics processor. In an example, an apparatus comprises a processor to receive a set of workload instructions for a graphics workload from a host complex, determine a first subset of operations in the set of operations that is suitable for execution by a scalar processor complex of the graphics processing device and a second subset of operations in the set of operations that is suitable for execution by a vector processor complex of the graphics processing device, assign the first subset of operations to the scalar processor complex for execution to generate a first set of outputs, assign the second subset of operations to the vector processor complex for execution to generate a second set of outputs. Other embodiments are also disclosed and claimed.

Abstract: Embodiments described herein provide techniques enable a graphics processor to continue processing operations during the reset of a compute unit that has experienced a hardware fault. Threads and associated context state for a faulted compute unit can be migrated to another compute unit of the graphics processor and the faulting compute unit can be reset while processing operations continue.

Abstract: Embodiments described herein provide a graphics processor that can perform a variety of mixed and multiple precision instructions and operations. One embodiment provides a streaming multiprocessor that can concurrently execute multiple thread groups, wherein the streaming multiprocessor includes a single instruction, multiple thread (SIMT) architecture and the streaming multiprocessor is to execute multiple threads for each of multiple instructions. The streaming multiprocessor can perform concurrent integer and floating-point operations and includes a mixed precision core to perform operations at multiple or mixed precisions and dynamic ranges.