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.

Method, apparatus, and system for parallel dynamic mesh alignment are provided. The process may include determining that a temporal alignment is present between one or more frames in a received input mesh including a plurality of polygons that describe a surface of a volumetric object, then, determining an intra-frame alignment scheme to spatially align charts within a frame. The process may also include applying the intra-frame alignment scheme to one or more corresponding charts in the one or more frames for inter-frame alignment; and processing the one or more frames in parallel based on the intra-frame alignment scheme and inter-frame alignment.

A method and system for dynamically transferring graphical image processing operations from a graphical processing unit (GPU) to a digital signal processor (DSP). The method includes estimating the number of operations needed for the processing a set of image data; determining the operational limits of a GPU and compare with estimated number of operations and if the operational limits are exceeded; transfer the processing operations to the DSP from the GPU. The transfer can include transferring a portion of executable code for performing the processing operations, and generating a replacement code for the GPU. The DSP can then process a portion of the image data before sending it to the GPU for further processing.

Methods and systems are provided for medical imaging systems. In one embodiment, a method for a medical imaging system comprises acquiring emission data during a positron emission tomography (PET) scan of a patient, reconstructing a series of live PET images while acquiring the emission data, and tracking motion of the patient during the acquiring based on the series of live PET images. In this way, patient motion during the scan may be identified and compensated for via scan acquisition and/or data processing adjustments, thereby producing a diagnostic PET image with reduced motion artifacts and increased diagnostic quality.

Aspects include a multistage collector to receive outputs from plural processing elements. Processing elements may comprise (each or collectively) a plurality of clusters, with one or more ALUs that may perform SIMD operations on a data vector and produce outputs according to the instruction stream being used to configure the ALU(s). The multistage collector includes substituent components each with at least one input queue, a memory, a packing unit, and an output queue; these components can be sized to process groups of input elements of a given size, and can have multiple input queues and a single output queue. Some components couple to receive outputs from the ALUs and others receive outputs from other components. Ultimately, the multistage collector can output groupings of input elements. Each grouping of elements (e.g., at input queues, or stored in the memories of component) can be formed based on matching of index elements.

This application relates to the field of graphics rendering technologies, and specifically discloses a graphics rendering method and a related apparatus. A central processing unit CPU captures an instruction stream of a graphics processing unit GPU to obtain vertex data required by the GPU for graphics rendering; the CPU performs primitive processing such as coordinate transformation and clipping on the obtained vertex data to obtain vertex data within a field of view of a user; and the CPU sends the vertex data within the field of view of the user to the graphics processing unit GPU, so that the GPU performs graphics rendering processing based on the vertex data processed by the CPU. In technical solutions provided in this application, load of the GPU can be reduced during graphics rendering.

Techniques for performing shader operations are provided. The techniques include, performing pixel shading at a shading rate defined by pixel shader variable rate shading (“VRS”) data, and updating the pixel VRS data that indicates one or more shading rates for one or more tiles based on whether the tiles of the one or more tiles include triangle edges or do not include triangle edges, to generate updated VRS data.

A method of controlling rendering of a computer image at a plurality of computers includes: controlling a first computer of the plurality of computers to identify a pixel of a tile of the computer image, wherein the identification of the pixel is based on an inter-pixel order; controlling the first computer to identify one or more locations of the pixel, to facilitate sampling of the pixel at the one or more locations thereof, wherein the identification of the one or more locations is based on an intra-pixel computational order corresponding to the first computer; and receiving rendering results corresponding to the one or more locations of the pixel.

In an example, an apparatus comprises a plurality of execution units, and a first general register file (GRF) communicatively couple to the plurality of execution units, wherein the first GRF is shared by the plurality of execution units. Other embodiments are also disclosed and claimed.

A method for graphics processing. The method including rendering graphics for an application using a plurality of graphics processing units (GPUs). The method including using the plurality of GPUs in collaboration to render an image frame including a plurality of pieces of geometry. The method including during a pre-pass phase of rendering, generating information at the GPUs regarding the plurality of pieces of geometry and their relation to a plurality of screen regions. The method including assigning the plurality of screen regions to the plurality of GPUs based on the information for purposes of rendering the plurality of pieces of geometry in a subsequent phase of rendering.