Abstract: Systems, apparatuses and methods may provide for technology that determines a frame rate of video content, sets a blend amount parameter based on the frame rate, and temporally anti-aliases the video content based on the blend amount parameter. Additionally, the technology may detect a coarse pixel (CP) shading condition with respect to one or more frames in the video content and select, in response to the CP shading condition, a per frame jitter pattern that jitters across pixels, wherein the video content is temporally anti-aliased based on the per frame jitter pattern. The CP shading condition may also cause the technology to apply a gradient to a plurality of color planes on a per color plane basis and discard pixel level samples associated with a CP if all mip data corresponding to the CP is transparent or shadowed out.

Abstract: An apparatus to facilitate memory tiling is disclosed. The apparatus includes a memory, one or more execution units (EUs) to execute a plurality of processing threads via access to the memory and tiling logic to apply a tiling pattern to memory addresses for data stored in the memory.

Abstract: An apparatus to facilitate processing video bit stream data is disclosed. The apparatus includes one or more processors to encode surface normals data with point cloud geometry data included in the video bit stream data for reconstruction of objects within the video bit stream data based on the surface normals data and a memory communicatively coupled to the one or more processors.

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: One embodiment provides for a graphics processing unit comprising a processing cluster to perform coarse pixel shading and output shaded coarse pixels for processing by a pixel processing pipeline and a render cache to store coarse pixel data for input to or output from pixel processing pipeline.

Abstract: A mechanism is described for facilitating localized load-balancing for processors in computing devices. A method of embodiments, as described herein, includes facilitating hosting, at a processor of a computing device, a local load-balancing mechanism. The method may further include monitoring balancing of loads at the processor and serving as a local scheduler to maintain de-centralized load-balancing at the processor and between the processor and other one or more processors.

Abstract: Systems, apparatuses and methods may provide away to render augmented reality (AR) and/or virtual reality (VR) sensory enhancements using ray tracing. More particularly, systems, apparatuses and methods may provide a way to normalize environment information captured by multiple capture devices, and calculate, for an observer, the sound sources or sensed events vector paths. The systems, apparatuses and methods may detect and/or manage one or more capture devices and assign one or more the capture devices based on one or more conditions to provide observer an immersive VR/AR experience.

Abstract: An embodiment of an electronic processing system may include an application processor, persistent storage media communicatively coupled to the application processor, a graphics subsystem communicatively coupled to the application processor, a sense engine communicatively coupled to the graphics subsystem to provide sensed information, a focus engine communicatively coupled to the sense engine and the graphics subsystem to provide focus information, a motion engine communicatively coupled to the sense engine, the focus engine, and the graphics subsystem to provide motion information, and a motion biased foveated renderer communicatively coupled to the motion engine, the focus engine, the sense engine to adjust one or more parameters of the graphics subsystem based on one or more of the sense information, the focus information, and the motion information. Other embodiments are disclosed and claimed.

Abstract: An embodiment of a graphics pipeline apparatus may include a vertex shader, a visibility shader communicatively coupled to an output of the vertex shader to construct a hierarchical visibility structure, a tile renderer communicatively coupled to an output of the vertex shader and to the visibility shader to perform a tile-based immediate mode render on the output of the vertex shader based on the hierarchical visibility structure, and a rasterizer communicatively coupled to an output of the tile renderer to rasterize the output of the tile renderer based on the hierarchical visibility structure. Other embodiments are disclosed and claimed.

Abstract: Systems, apparatuses and methods may provide for technology that determines a stencil value and uses the stencil value to control, via a stencil buffer, a coarse pixel size of a graphics pipeline. Additionally, the stencil value may include a first range of bits defining a first dimension of the coarse pixel size and a second range of bits defining a second dimension of the coarse pixel size. In one example, the coarse pixel size is controlled for a plurality of pixels on a per pixel basis.

Abstract: A mechanism is described for facilitating intelligent dispatching and vectorizing at autonomous machines. A method of embodiments, as described herein, includes detecting a plurality of threads corresponding to a plurality of workloads associated with tasks relating to a graphics processor. The method may further include determining a first set of threads of the plurality of threads that are similar to each other or have adjacent surfaces, and physically clustering the first set of threads close together using a first set of adjacent compute blocks.

Abstract: Cluster of acceleration engines to accelerate intersections.

Abstract: A computing system to obtain an output includes a multi-plane rendering module includes a renderer receives a plurality of graphical objects to generate one or more image planes of object data, a resampler upscales lower resolution image planes to a higher resolution used by the output image, and a rasterizer combine pixels from a common location in the plurality of image planes after each image plane is upsampled to the higher resolution. The renderer receives one of the graphical objects having a location value along a z-axis of the scene, determines which of a plurality of image planes the graphical objects is located using the z-axis location for the graphical object, each of the planes possess a corresponding image resolution, and renders the graphical object into the image plane at the image resolution corresponding determined image plane.

Abstract: Systems and methods may provide for determining a start time for an output image scanner to begin scanning an output image to a display device, determining a processing start time for each row of blocks of image pixel data within a rasterizer to ensure its completion before each row of blocks of image pixel data within the output image begin to be scanned out, and scheduling the start of processing of each row of blocks of image pixel data. In one example, the start time for the rasterizer to process a row of blocks of image pixel data uses the number of graphical objects to rendered into the output image and the processing times required by prior images.

Abstract: Embodiments are directed to neural network processing for multi-object three-dimensional (3D) modeling. An embodiment of a computer-readable storage medium includes executable computer program instructions for obtaining data from multiple cameras, the data including multiple images, and generating a 3D model for 3D imaging based at least in part on the data from the cameras, wherein generating the 3D model includes one or more of performing processing with a first neural network to determine temporal direction based at least in part on motion of one or more objects identified in an image of the multiple images or performing processing with a second neural network to determine semantic content information for an image of the multiple images.

Abstract: An apparatus to facilitate processing video bit stream data is disclosed. The apparatus includes one or more processors to decode occupancy map data and auxiliary patch information and generate a plurality of patch video frames based on patch data decoded from the occupancy map data and auxiliary patch information, and a memory communicatively coupled to the one or more processors.

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: A hybrid hierarchical cache is implemented at the same level in the access pipeline, to get the faster access behavior of a smaller cache and, at the same time, a higher hit rate at lower power for a larger cache, in some embodiments. A split cache at the same level in the access pipeline includes two caches that work together. In the hybrid, split, low level cache (e.g., L1) evictions are coordinated locally between the two L1 portions, and on a miss to both L1 portions, a line is allocated from a larger L2 cache to the smallest L1 cache.

Abstract: Embodiments are generally directed to providing power savings for a neural network architecture with zero activations during inference. An embodiment of an apparatus includes one or more processors including one or more processor cores; and a memory to store data for processing including neural network processing, wherein the apparatus to perform a fast clear operation to initialize activation buffers for a neural network by updating metadata to indicate zero values, the neural network including a plurality of layers, wherein the apparatus is to compare outputs for the neural network to the metadata values and to write an output to memory only if the output is non-zero.

Abstract: Methods and apparatus for vector-matrix comparison are disclosed. In one embodiment, a processor comprises decoding and execution circuitry. The decoding circuitry decodes an instruction, where operands of the instruction specifies an output location to store output results, a vector of data element values, and a matrix of data element values. The execution circuitry executes the decoded instruction. The execution includes to map each of the data element values of the vector to one of consecutive rows of the matrix; for each data element value of the vector, to compare that data element value of the vector with data element values in a respective row of the matrix and obtain data element match results. The execution further includes to store the output results based on the data element match results, where each output result maps to a respective data element column position and indicates a vector match result.