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: A video effects application executes on a client device having an image capture device and receives video data captured by the image capture device. The video effects application extracts information from the captured video data and stores the extracted information as metadata associated with the captured video data. For example, the video effects application identifies objects in the captured video data or identifies optical flow of the captured video data and stores the identified objects or identified optical flow as metadata associated with the captured video data. The video effects application stores information describing modifications to the captured video data in association with the captured video data. When the captured video data is presented, the captured video data, associated metadata, and information describing the modifications is communicated to a renderer, which uses the metadata to perform the identified modifications to the captured video data when presenting the captured video data.

Abstract: Systems, apparatuses and methods may provide for technology that identifies, at an image post-processor, unresolved surface data and identifies, at the image post-processor, control data associated with the unresolved surface data. Additionally, the technology may resolve, at the image post-processor, the unresolved surface data and the control data into a final image.

Abstract: Systems, methods and apparatuses may provide for technology to reduce rendering overhead associated with light field displays. The technology may conduct data formatting, re-projection, foveation, tile binning and/or image warping operations with respect to a plurality of display planes in a light field display.

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: In an example, an apparatus comprises a plurality of execution units and logic, at least partially including hardware logic, to gate at least one of a multiply unit or an accumulate unit in response to an input of value zero. Other embodiments are also disclosed and claimed.

Abstract: In an example, an apparatus comprises a plurality of execution units comprising at least a first type of execution unit and a second type of execution unit and logic, at least partially including hardware logic, to expose embedded cast operations in at least one of a load instruction or a store instruction; determine a target precision level for the cast operations; and load the cast operations at the target precision level. Other embodiments are also disclosed and claimed.

Abstract: In an example, an apparatus comprises logic, at least partially including hardware logic, to save one or more outputs of a deep learning neural network in a storage system of an autonomous vehicle and upload the one or more outputs to a remote server. Other embodiments are also disclosed and claimed.

Abstract: In an example, an apparatus comprises a plurality of execution units comprising and logic, at least partially including hardware logic, to traverse a solution space, score a plurality of solutions to a scheduling deep learning network execution, and select a preferred solution from the plurality of solutions to implement the deep learning network. Other embodiments are also disclosed and claimed.

Abstract: In an example, an apparatus comprises a plurality of execution units comprising and logic, at least partially including hardware logic, to receive a plurality of data inputs for training a neural network, wherein the data inputs comprise training data and weights inputs; represent the data inputs in a first form; and represent the weight inputs in a second form. Other embodiments are also disclosed and claimed.

Abstract: Systems, apparatuses and methods may provide a way to track graphics pipeline operations. More particularly, the systems, apparatuses and methods may provide a way to track operation dependencies between graphics pipeline operations for blocks of pixel samples and stall one or more of the pipeline operations based on the operation dependencies. The systems, apparatuses and methods may further provide cache pre-fetch hardware to monitor processing of blocks of pixel samples and fetch a next block of the pixel samples from the memory into a cache before completion of processing a current block of pixel samples based on one or more of the pipeline operations or a surface state of one or more regions of a screen space.

Abstract: Systems, apparatuses, and methods may provide for technology to render and compress stereoscopic graphical data. In one example, the technology identifies, from graphical data associated with a stereoscopic image defined by a first perspective view and a second perspective view, a background region and a foreground region of a graphical scene in the stereoscopic image, renders graphical data of the identified background region for the first perspective view, and compresses the rendered graphical data.

Abstract: Systems, apparatuses and methods may provide for technology that receives, at a topology shader in a graphics pipeline, an object description and generates, at the topology shader, a set of polygons based on the object description. Additionally, the set of polygons may be sent to a vertex shader.

Abstract: An embodiment of a graphics apparatus may include a mask buffer to store a mask, a shader communicatively coupled to the mask buffer to apply the mask to a first shader pass, and a resolver communicatively coupled to the mask buffer to apply the mask to a resolve pass. The resolver may be configured to exclude a sample location not covered by the mask in the resolve pass. Other embodiments are disclosed and claimed.

Abstract: In an example, an apparatus comprises a plurality of execution units; and logic, at least partially including hardware logic, to determine a sub-graph of a network that can be executed in a frequency domain and apply computations in the sub-graph in the frequency domain. Other embodiments are also disclosed and claimed.

Abstract: In an example, an apparatus comprises logic, at least partially including hardware logic, to implement a lossy compression algorithm which utilizes a data transform and quantization process to compress data in a convolutional neural network (CNN) layer. Other embodiments are also disclosed and claimed.

Abstract: Systems, apparatuses and methods may provide for technology that partitions a three-dimensional (3D) scene into a plurality of layers including at least a foreground layer and a background layer. Additionally, the foreground layer may be rendered at a first rate and the background layer may be rendered at a second frame rate, wherein the first frame rate is greater than the second frame rate. In one example, the foreground layer and the background layer are composited into a frame.

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: Systems, apparatuses and methods may provide for technology that identifies, at an image post-processor, unresolved surface data and identifies, at the image post-processor, control data associated with the unresolved surface data. Additionally, the technology may resolve, at the image post-processor, the unresolved surface data and the control data into a final image.

Abstract: In an example, an apparatus comprises a plurality of execution units, and a first memory communicatively couple to the plurality of execution units, wherein the first shared memory is shared by the plurality of execution units and a copy engine to copy context state data from at least a first of the plurality of execution units to the first shared memory. Other embodiments are also disclosed and claimed.