Patents by Inventor Joydeep Ray

Joydeep Ray has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Avoid cache lookup for cold cache
    Patent number: 10241921
    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, in a read/modify/write (RMW) pipeline, a cache access request from a requestor, wherein the cache request comprises a cache set identifier associated with requested data in the cache set, determine whether the cache set associated with the cache set identifier is in an inaccessible invalid state, and in response to a determination that the cache set is in an inaccessible state or an invalid state, to terminate the cache access request. Other embodiments are also disclosed and claimed.
    Type: Grant
    Filed: April 17, 2017
    Date of Patent: March 26, 2019
    Assignee: INTEL CORPORATION
    Inventors: Abhishek R. Appu, Altug Koker, Joydeep Ray, Prasoonkumar Surti, Kamal Sinha, Kiran C. Veernapu, Balaji Vembu
  • PIXEL COMPRESSION MECHANISM
    Publication number: 20190087999
    Abstract: An apparatus to facilitate pixel compression is disclosed. The apparatus includes a rasterizer module to convert an image to a plurality of pixels, an interface coupled to the rasterizer module, a depth check module coupled to the interface and compression logic to perform a compression encoding on the plurality of pixels, including dividing the plurality of pixels into a mega pixel block having a plurality of pixel blocks, determining coverage information for pixels in each of the plurality of pixel blocks, encoding each of the plurality of pixel blocks based on the coverage information to generate a mega encoded block.
    Type: Application
    Filed: September 20, 2017
    Publication date: March 21, 2019
    Applicant: Intel Corporation
    Inventors: Subramaniam Maiyuran, Jorge Garcia Pabon, Vasanth Ranganathan, Saikat Mandal, Karol Szerszen, Luis Cruz Camacho, Abhishek R. Appu, Joydeep Ray
  • Intelligent graphics dispatching mechanism
    Patent number: 10235736
    Abstract: An apparatus to facilitate data intelligent dispatching is disclosed. The apparatus includes one or more processing units including a plurality of execution units (EUs) to execute a plurality of processing threads and collection logic to collect statistics data for threads executed at the processing unit during execution of an application, and dispatch logic to dispatch the threads to be executed at a subset of the plurality of EUs during a subsequent execution of the application based on the statistics data.
    Type: Grant
    Filed: April 21, 2017
    Date of Patent: March 19, 2019
    Assignee: INTEL CORPORATION
    Inventors: Balaji Vembu, Murali Ramadoss, Guei-Yuan Lueh, Subramaniam M. Maiyuran, Abhishek R. Appu, Joydeep Ray, Altug Koker, James A. Valerio, Eric J. Hoekstra, Arthur D. Hunter, Jr.
  • Multi-sample stereo renderer
    Patent number: 10235794
    Abstract: An embodiment of a parallel processor apparatus may include a sample pattern selector to select a sample pattern for a pixel, and a sample pattern subset selector communicatively coupled to the sample pattern selector to select a first subset of the sample pattern for the pixel corresponding to a left eye display frame and to select a second subset of the sample pattern for the pixel corresponding to a right eye display frame, wherein the second subset is different from the first subset. Other embodiments are disclosed and claimed.
    Type: Grant
    Filed: April 10, 2017
    Date of Patent: March 19, 2019
    Assignee: Intel Corporation
    Inventors: Nikos Kaburlasos, Joydeep Ray, John H. Feit, Travis T. Schluessler, Jacek Kwiatkowski, Philip R. Laws
  • Common platform for one-level memory architecture and two-level memory architecture
    Patent number: 10228861
    Abstract: A processor includes a first memory interface to be coupled to a plurality of dual in-line memory module (DIMM) sockets located off-package, a second memory interface to be coupled to a non-volatile memory (NVM) socket located off-package, and a multi-level memory controller (MLMC). The MLMC is to: control the DIMMs disposed in the plurality of DIMM sockets as main memory in a one-level memory (1LM) configuration; detect a switch from a 1LM mode of operation to a two-level memory (2LM) mode of operation in response to a basic input/output system (BIOS) detection of a low-power DIMM disposed in one of the DIMM sockets and a NVM device disposed in the NVM socket in a 2LM configuration; and control the low-power DIMM as cache in the 2LM configuration in response to detection of the switch from the 1LM mode of operation to the 2LM mode of operation.
    Type: Grant
    Filed: February 8, 2017
    Date of Patent: March 12, 2019
    Assignee: Intel Corporation
    Inventors: Joydeep Ray, Varghese George, Inder M. Sodhi, Jeffrey R. Wilcox
  • PROGRESSIVE MULTISAMPLE ANTI-ALIASING
    Publication number: 20190073750
    Abstract: One embodiment provides for a general-purpose graphics processor comprising a hardware graphics rendering pipeline configured to perform multisample anti-aliasing, the hardware graphics rendering pipeline including a pixel processing unit configured to generate pixel color data in a graphics processing pipeline, the pixel processing unit to output color data to a multisample render target, the multisample render target to store multiple sample locations for each pixel in a set of pixels. The general-purpose graphics processor further comprises a memory allocator to allocate memory to store color data associated with the multisample render target, the memory allocator to merge a memory allocation for multiple pixels having a sample associated with a same color value.
    Type: Application
    Filed: September 25, 2018
    Publication date: March 7, 2019
    Applicant: Intel Corporation
    Inventors: Abhishek R. Appu, Prasoonkumar Surti, Joydeep Ray, Michael J. Norris
  • On demand MSAA resolve during lens correction and/or other post-processing phases
    Patent number: 10223773
    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.
    Type: Grant
    Filed: April 1, 2017
    Date of Patent: March 5, 2019
    Assignee: Intel Corporation
    Inventors: Tomer Bar-On, Hugues Labbe, Adam T. Lake, Kai Xiao, Ankur N. Shah, Johannes Guenther, Abhishek R. Appu, Joydeep Ray, Deepak S. Vembar, ElMoustapha Ould-Ahmed-Vall
  • Pre-pass surface analysis to achieve adaptive anti-aliasing modes
    Patent number: 10204393
    Abstract: Systems, apparatuses and methods may provide for technology that determines a position associated with one or more polygons in unresolved surface data and select an anti-aliasing sample rate based on a state of the one or more polygons with respect to the position. Additionally, the unresolved surface data may be resolved at the position in accordance with the selected anti-aliasing sample rate, wherein the selected anti-aliasing sample rate varies across a plurality of pixels. The position may be a bounding box, a display screen coordinate, and so forth.
    Type: Grant
    Filed: April 10, 2017
    Date of Patent: February 12, 2019
    Assignee: Intel Corporation
    Inventors: Abhishek R. Appu, Joydeep Ray, Peter L. Doyle, Subramaniam Maiyuran, Devan Burke, Philip R. Laws, ElMoustapha Ould-Ahmed-Vall, Altug Koker
  • POWER SAVINGS FOR NEURAL NETWORK ARCHITECTURE WITH ZERO ACTIVATIONS DURING INFERENCE
    Publication number: 20190041961
    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.
    Type: Application
    Filed: September 27, 2018
    Publication date: February 7, 2019
    Applicant: Intel Corporation
    Inventors: KINCHIT DESAI, SANJEEV JAHAGIRDAR, PRASOONKUMAR SURTI, JOYDEEP RAY
  • HANDLING PIPELINE SUBMISSIONS ACROSS MANY COMPUTE UNITS
    Publication number: 20190035051
    Abstract: One embodiment provides for a general-purpose graphics processing unit comprising multiple processing elements having a single instruction, multiple thread architecture, the multiple processing elements enabled to perform hardware multithreading, wherein execution context for threads to be executed is maintained on-chip during execution, a scheduler to schedule a warp to the multiple processing elements, wherein the warp is a group of parallel threads, the warp includes multiple sub-warps, and threads within the warp diverge at sub-warp granularity, and a logic unit including hardware or firmware logic, the logic unit to group active threads from the warp for execution on the multiple processing elements.
    Type: Application
    Filed: October 2, 2018
    Publication date: January 31, 2019
    Applicant: Intel Corporation
    Inventors: Balaji Vembu, Altug Koker, Joydeep Ray
  • Anti-aliasing adaptive shader with pixel tile coverage raster rule system, apparatus and method
    Patent number: 10192351
    Abstract: Systems, apparatuses and methods may provide away to render edges of an object defined by multiple tessellation triangles. More particularly, systems, apparatuses and methods may provide a way to perform anti-aliasing at the edges of the object based on a coarse pixel rate, where the coarse pixels may be based on a coarse Z value indicate a resolution or granularity of detail of the coarse pixel. The systems, apparatuses and methods may use a shader dispatch engine to dispatch raster rules to a pixel shader to direct the pixel shader to include, in a tile and/or tessellation triangle, one more finer coarse pixels based on a percent of coverage provided by a finer coarse pixel of a tessellation triangle at or along the edge of the object.
    Type: Grant
    Filed: April 17, 2017
    Date of Patent: January 29, 2019
    Assignee: Intel Corporation
    Inventors: Prasoonkumar Surti, Karthik Vaidyanathan, Murali Ramadoss, Michael Apodaca, Abhishek Venkatesh, Joydeep Ray, Abhishek R. Appu
  • LOW GRANULARITY COARSE DEPTH TEST EFFICIENCY ENHANCEMENT
    Publication number: 20190026855
    Abstract: Briefly, in accordance with one or more embodiments, an apparatus comprises a processor to compute depth values for one or more 4×4 blocks of pixels using 16 source interpolators and 8 destination interpolators on an incoming fragment of pixel data if the destination is in min/max format, and a memory to store a depth test result performed on the one or more 4×4 blocks of pixels. Otherwise the processor is to compute depth values for one or more 8×4 blocks of pixels using 16 source interpolators and 16 destination interpolators if the destination is in plane format.
    Type: Application
    Filed: July 26, 2018
    Publication date: January 24, 2019
    Applicant: Intel Corporation
    Inventors: Vasanth Ranganathan, Saikat Mandal, Karol A. Szerszen, Saurabh Sharma, Vamsee Vardhan Chivukula, Abhishek R. Appu, Joydeep Ray, Prasoonkumar Surti, Altug Koker
  • Dynamic Page Sizing of Page Table Entries
    Publication number: 20190026856
    Abstract: In accordance with one embodiment each page table entry maps a variable page size (per entry), if multiple continuous virtual pages map to contiguous physical pages. This may drastically reduce the number of translation lookaside buffer (TLB) entries needed since each entry can potentially map a larger chunk of memory, in some embodiments.
    Type: Application
    Filed: September 4, 2018
    Publication date: January 24, 2019
    Inventors: Abhishek R. Appu, Joydeep Ray, Altug Koker, Balaji Vembu, Prasoonkumar P. Surti, Kamal Sinha, Vasanth Ranganathan, Kiran C. Veernapu, Bhushan M. Borole, Wenyin Fu
  • Replacement Policies for a Hybrid Hierarchical Cache
    Publication number: 20190018799
    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.
    Type: Application
    Filed: August 27, 2018
    Publication date: January 17, 2019
    Inventors: Abhishek R. Appu, Joydeep Ray, James A. Valerio, Altug Koker, Prasoonkumar P. Surti, Balaji Vembu, Wenyin Fu, Bhushan M. Borole, Kamal Sinha
  • Adaptive multisampling based on vertex attributes
    Patent number: 10157493
    Abstract: Systems, apparatuses and methods may provide for technology that selects an anti-aliasing mode for a vertex of a primitive based on a parameter associated with the vertex and generates a coverage mask based on the selected anti-aliasing mode. Additionally, one or more pixels corresponding to the vertex may be shaded based at least partly on the coverage mask, wherein the selected anti-aliasing mode varies across a plurality of vertices in the primitive.
    Type: Grant
    Filed: April 1, 2017
    Date of Patent: December 18, 2018
    Assignee: Intel Corporation
    Inventors: Prasoonkumar Surti, Abhishek R. Appu, Joydeep Ray
  • Dynamic page sizing of page table entries
    Patent number: 10157444
    Abstract: In accordance with one embodiment each page table entry maps a variable page size (per entry), if multiple continuous virtual pages map to contiguous physical pages. This may drastically reduce the number of translation lookaside buffer (TLB) entries needed since each entry can potentially map a larger chunk of memory, in some embodiments.
    Type: Grant
    Filed: April 10, 2017
    Date of Patent: December 18, 2018
    Assignee: Intel Corporation
    Inventors: Abhishek R. Appu, Joydeep Ray, Altug Koker, Balaji Vembu, Prasoonkumar P. Surti, Kamal Sinha, Vasanth Ranganathan, Kiran C. Veernapu, Bhushan M. Borole, Wenyin Fu
  • Motion biased foveated renderer
    Patent number: 10152822
    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.
    Type: Grant
    Filed: April 1, 2017
    Date of Patent: December 11, 2018
    Assignee: Intel Corporation
    Inventors: Prasoonkumar Surti, Karthik Vaidyanathan, Atsuo Kuwahara, Hugues Labbe, Sameer KP, Jonathan Kennedy, Joydeep Ray, Travis T. Schluessler, John H. Feit, Nikos Kaburlasos, Jacek Kwiatkowski, Tomer Bar-On, Carsten Benthin, Adam T. Lake, Vasanth Ranganathan, Abhishek R. Appu
  • Progressive multisample anti-aliasing
    Patent number: 10134115
    Abstract: One embodiment provides for a general-purpose graphics processor comprising a fragment processing unit configured to generate pixel color data in a graphics processing pipeline, the fragment processing unit output color data to a multisample render target; and a memory allocator to allocate memory to store color data associated with the multisample render target, the memory allocator to merge a memory allocation for multiple pixels having a sample associated with equal color data.
    Type: Grant
    Filed: April 17, 2017
    Date of Patent: November 20, 2018
    Assignee: Intel Corporation
    Inventors: Abhishek R. Appu, Prasoonkumar Surti, Joydeep Ray, Michael J. Norris
  • COMPUTE OPTIMIZATIONS FOR LOW PRECISION MACHINE LEARNING OPERATIONS
    Publication number: 20180315159
    Abstract: One embodiment provides an accelerator module comprising a memory stack including multiple memory dies; a graphics processing unit (GPU) coupled with the memory stack via one or more memory controllers, the GPU including a plurality of multiprocessors having a single instruction, multiple thread (SIMT) architecture, the multiprocessors to execute at least one single instruction; the at least one single instruction to cause at least a portion of the GPU to perform a floating-point operation on input having differing precisions; and the floating-point operation is a two-dimensional matrix multiply and accumulate operation.
    Type: Application
    Filed: October 20, 2017
    Publication date: November 1, 2018
    Applicant: Intel Corporation
    Inventors: Elmoustapha Ould-Ahmed-Vall, Sara S. Baghsorkhi, Anbang Yao, Kevin Nealis, Xiaoming Chen, Altug Koker, Abhishek R. Appu, John C. Weast, Mike B. Macpherson, Dukhwan Kim, Linda L. Hurd, Ben J. Ashbaugh, Barath Lakshmanan, Liwei Ma, Joydeep Ray, Ping T. Tang, Michael S. Strickland
  • COMPUTE OPTIMIZATIONS FOR LOW PRECISION MACHINE LEARNING OPERATIONS
    Publication number: 20180315157
    Abstract: One embodiment provides a general-purpose graphics processing unit comprising a dynamic precision floating-point unit including a control unit having precision tracking hardware logic to track an available number of bits of precision for computed data relative to a target precision, wherein the dynamic precision floating-point unit includes computational logic to output data at multiple precisions.
    Type: Application
    Filed: April 28, 2017
    Publication date: November 1, 2018
    Applicant: Intel Corporation
    Inventors: Elmoustapha Ould-Ahmed-Vall, Sara S. Baghsorkhi, Anbang Yao, Kevin Nealis, Xiaoming Chen, Altug Koker, Abhishek R. Appu, John C. Weast, Mike B. Macpherson, Dukhwan Kim, Linda L. Hurd, Ben . Ashbaugh, Barath Lakshmanan, Liwei Ma, Joydeep Ray, Ping T. Tang, Michael S. Strickland