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公开(公告)号:US20220172316A1
公开(公告)日:2022-06-02
申请号:US17486330
申请日:2021-09-27
Applicant: Intel Corporation
Inventor: Abhishek Venkatesh , Karthik Vaidyanathan , Murali Ramadoss , Michael Apodaca , Prasoonkumar Surti
Abstract: An embodiment of a graphics command coordinator apparatus may include a commonality identifier to identify a commonality between a first graphics command corresponding to a first frame and a second graphics command corresponding to a second frame, a commonality analyzer communicatively coupled to the commonality identifier to determine if the first graphics command and the second graphics command can be processed together based on the commonality identified by the commonality identifier, and a commonality indicator communicatively coupled to the commonality analyzer to provide an indication that the first graphics command and the second graphics command are to be processed together. Other embodiments are disclosed and claimed.
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公开(公告)号:US11348198B2
公开(公告)日:2022-05-31
申请号:US17145885
申请日:2021-01-11
Applicant: Intel Corporation
Inventor: Prasoonkumar Surti , Narayan Srinivasa , Feng Chen , Joydeep Ray , Ben J. Ashbaugh , Nicolas C. Galoppo Von Borries , Eriko Nurvitadhi , Balaji Vembu , Tsung-Han Lin , Kamal Sinha , Rajkishore Barik , Sara S. Baghsorkhi , Justin E. Gottschlich , Altug Koker , Nadathur Rajagopalan Satish , Farshad Akhbari , Dukhwan Kim , Wenyin Fu , Travis T. Schluessler , Josh B. Mastronarde , Linda L. Hurd , John H. Feit , Jeffery S. Boles , Adam T. Lake , Karthik Vaidyanathan , Devan Burke , Subramaniam Maiyuran , Abhishek R. Appu
Abstract: An apparatus to facilitate compute optimization is disclosed. The apparatus includes a plurality of processing units each comprising a plurality of execution units (EUs), wherein the plurality of EUs comprise a first EU type and a second EU type.
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公开(公告)号:US20220138895A1
公开(公告)日:2022-05-05
申请号:US17430041
申请日:2020-03-14
Applicant: Intel Corporation
Inventor: Vasanth Raganathan , Abhishek R. Appu , Ben Ashbaugh , Peter Doyle , Brandon Fliflet , Arthur Hunter , Brent Insko , Scott Janus , Altug Koker , Aditya Navale , Joydeep Ray , Kamal Sinha , Lakshminarayanan Striramassarma , Prasoonkumar Surti , James Valerio
Abstract: Embodiments are generally directed to compute optimization in graphics processing. An embodiment of an apparatus includes one or more processors including a multi-tile graphics processing unit (GPU) to process data, the multi-tile GPU including multiple processor tiles; and a memory for storage of data for processing, wherein the apparatus is to receive compute work for processing by the GPU, partition the compute work into multiple work units, assign each of multiple work units to one of the processor tiles, and process the compute work using the processor tiles assigned to the work units.
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公开(公告)号:US11315311B2
公开(公告)日:2022-04-26
申请号:US16922094
申请日:2020-07-07
Applicant: Intel Corporation
Inventor: Prasoonkumar Surti , Abhishek R. Appu , Subhajit Dasgupta , Srivallaba Mysore , Michael J. Norris , Vasanth Ranganathan , Joydeep Ray
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.
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公开(公告)号:US11315304B2
公开(公告)日:2022-04-26
申请号:US17003011
申请日:2020-08-26
Applicant: INTEL CORPORATION
Inventor: Scott Janus , Prasoonkumar Surti , Karthik Vaidyanathan , Alexey Supikov , Gabor Liktor , Carsten Benthin , Philip Laws , Michael Doyle
Abstract: Apparatus and method for a hierarchical beam tracer. For example, one embodiment of an apparatus comprises: a beam generator to generate beam data associated with a beam projected into a graphics scene; a bounding volume hierarchy (BVH) generator to generate BVH data comprising a plurality of hierarchically arranged BVH nodes; a hierarchical beam-based traversal unit to determine whether the beam intersects a current BVH node and, if so, to responsively subdivide the beam into N child beams to test against the current BVH node and/or to traverse further down the BVH hierarchy to select a new BVH node, wherein the hierarchical beam-based traversal unit is to iteratively subdivide successive intersecting child beams and/or to continue to traverse down the BVH hierarchy until a leaf node is reached with which at least one final child beam is determined to intersect; the hierarchical beam-based traversal unit to generate a plurality of rays within the final child beam; and intersection hardware logic to perform intersection testing for any rays intersecting the leaf node, the intersection testing to determine intersections between the rays intersecting the leaf node and primitives bounded by the leaf node.
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公开(公告)号:US20220084156A1
公开(公告)日:2022-03-17
申请号:US17019479
申请日:2020-09-14
Applicant: Intel Corporation
Inventor: Sreenivas Kothandaraman , Karthik Vaidyanathan , Abhishek R. Appu , Karol Szerszen , Prasoonkumar Surti
IPC: G06T1/20 , G06F9/38 , G06T7/90 , G06F16/907
Abstract: An apparatus to facilitate compression of memory data is disclosed. The apparatus comprises one or more processors to receive uncompressed data, adapt a format of the uncompressed data to a compression format, perform a color transformation from a first color space to a second color space, perform a residual computation to generate residual data, compress the residual data via entropy encoding to generate compressed data and packing the compressed data.
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公开(公告)号:US11263800B2
公开(公告)日:2022-03-01
申请号:US16728375
申请日:2019-12-27
Applicant: Intel Corporation
Inventor: Karol Szerszen , Prasoonkumar Surti , Gabor Liktor , Karthik Vaidyanathan , Sven Woop
Abstract: Apparatus and method for grouping rays based on quantized ray directions. For example, one embodiment of an apparatus comprises: An apparatus comprising: a ray generator to generate a plurality of rays; ray direction evaluation circuitry/logic to generate approximate ray direction data for each of the plurality of rays; ray sorting circuitry/logic to sort the rays into a plurality of ray queues based, at least in part, on the approximate ray direction data.
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公开(公告)号:US11244479B2
公开(公告)日:2022-02-08
申请号:US16919839
申请日:2020-07-02
Applicant: Intel Corporation
Inventor: Karthik Vaidyanathan , Prasoonkumar Surti , Hugues Labbe , Atsuo Kuwahara , Sameer KP , Jonathan Kennedy , Murali Ramadoss , Michael Apodaca , Abhishek Venkatesh
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.
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公开(公告)号:US20210374062A1
公开(公告)日:2021-12-02
申请号:US17400415
申请日:2021-08-12
Applicant: Intel Corporation
Inventor: Abhishek R. Appu , Altug Koker , Joydeep Ray , David Puffer , Prasoonkumar Surti , Lakshminarayanan Striramassarma , Vasanth Ranganathan , Kiran C. Veernapu , Balaji Vembu , Pattabhiraman K
IPC: G06F12/0877 , G06F12/0802 , G06F12/0855 , G06F12/0806 , G06F12/0846 , G06F12/0868 , G06T1/60 , G06F12/126
Abstract: In an example, an apparatus comprises a plurality of execution units, and a cache memory communicatively coupled to the plurality of execution units, wherein the cache memory is structured into a plurality of sectors, wherein each sector in the plurality of sectors comprises at least two cache lines. Other embodiments are also disclosed and claimed.
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公开(公告)号:US11151769B2
公开(公告)日:2021-10-19
申请号:US16537140
申请日:2019-08-09
Applicant: Intel Corporation
Inventor: Hugues Labbe , Darrel Palke , Sherine Abdelhak , Jill Boyce , Varghese George , Scott Janus , Adam Lake , Zhijun Lei , Zhengmin Li , Mike Macpherson , Carl Marshall , Selvakumar Panneer , Prasoonkumar Surti , Karthik Veeramani , Deepak Vembar , Vallabhajosyula Srinivasa Somayazulu
Abstract: One embodiment provides for a graphics processor comprising a block of graphics compute units, a graphics processor pipeline coupled to the block of graphics compute units, and a programmable neural network unit including one or more neural network hardware blocks. The programmable neural network unit is coupled with the block of graphics compute units and the graphics processor pipeline. The one or more neural network hardware blocks include hardware to perform neural network operations and activation operations for a layer of a neural network. The programmable neural network unit can configure settings of one or more hardware blocks within the graphics processor pipeline based on a machine learning model trained to optimize performance of a set of workloads.
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