公开(公告)号：US11748106B2

公开(公告)日：2023-09-05

申请号：US17683564

申请日：2022-03-01

Applicant: Intel Corporation

Inventor： Liwei Ma ,  Nadathur Rajagopalan Satish ,  Jeremy Bottleson ,  Farshad Akhbari ,  Eriko Nurvitadhi ,  Abhishek R. Appu ,  Altug Koker ,  Kamal Sinha ,  Joydeep Ray ,  Balaji Vembu ,  Vasanth Ranganathan ,  Sanjeev Jahagirdar

IPC: G06F9/38

CPC classification number: G06F9/3832

Abstract: A mechanism is described for facilitating fast data operations and for facilitating a finite state machine for machine learning at autonomous machines. A method of embodiments, as described herein, includes detecting input data to be used in computational tasks by a computation component of a processor including a graphics processor. The method may further include determining one or more frequently-used data values (FDVs) from the data, and pushing the one or more frequent data values to bypass the computational tasks.

公开(公告)号：US11720355B2

公开(公告)日：2023-08-08

申请号：US17834482

申请日：2022-06-07

Applicant: Intel Corporation

Inventor： Himanshu Kaul ,  Mark A. Anders ,  Sanu K. Mathew ,  Anbang Yao ,  Joydeep Ray ,  Ping T. Tang ,  Michael S. Strickland ,  Xiaoming Chen ,  Tatiana Shpeisman ,  Abhishek R. Appu ,  Altug Koker ,  Kamal Sinha ,  Balaji Vembu ,  Nicolas C. Galoppo Von Borries ,  Eriko Nurvitadhi ,  Rajkishore Barik ,  Tsung-Han Lin ,  Vasanth Ranganathan ,  Sanjeev Jahagirdar

IPC: G06F9/30 ,  G09G5/393 ,  G06F9/38 ,  G06F7/483 ,  G06F7/544 ,  G06N3/063 ,  G06N3/08 ,  G06N3/044 ,  G06N3/045 ,  G06T15/00 ,  G06N20/00 ,  G06F17/16

CPC classification number: G06F9/3001 ,  G06F7/483 ,  G06F7/5443 ,  G06F9/30014 ,  G06F9/30036 ,  G06F9/3851 ,  G06N3/044 ,  G06N3/045 ,  G06N3/063 ,  G06N3/08 ,  G09G5/393 ,  G06F9/3013 ,  G06F9/30025 ,  G06F17/16 ,  G06F2207/3824 ,  G06N20/00 ,  G06T15/005

Abstract: One embodiment provides a graphics processor comprising a memory controller and a graphics processing resource coupled with the memory controller. The graphics processing resource includes circuitry configured to execute an instruction to perform a matrix operation on first input including weight data and second input including input activation data, generate intermediate data based on a result of the matrix operation, quantize the intermediate data to a floating-point format determined based on a statistical distribution of first output data, and output, as second output data, quantized intermediate data in a determined floating-point format.

公开(公告)号：US20230046506A1

公开(公告)日：2023-02-16

申请号：US17967283

申请日：2022-10-17

Applicant: Intel Corporation

Inventor： Himanshu Kaul ,  Mark A. Anders ,  Sanu K. Mathew ,  Anbang Yao ,  Joydeep Ray ,  Ping T. Tang ,  Michael S. Strickland ,  Xiaoming Chen ,  Tatiana Shpeisman ,  Abhishek R. Appu ,  Altug Koker ,  Kamal Sinha ,  Balaji Vembu ,  Nicolas C. Galoppo Von Borries ,  Eriko Nurvitadhi ,  Rajkishore Barik ,  Tsung-Han Lin ,  Vasanth Ranganathan ,  Sanjeev Jahagirdar

IPC: G06F9/30 ,  G06F7/483 ,  G06N3/063 ,  G06N3/04 ,  G06F9/38 ,  G06N3/08 ,  G09G5/393 ,  G06F7/544 ,  G06T15/00 ,  G06N20/00 ,  G06F17/16

Abstract: One embodiment provides for a graphics processing unit to accelerate machine-learning operations, the graphics processing unit comprising a multiprocessor having a single instruction, multiple thread (SIMT) architecture, the multiprocessor to execute at least one single instruction; and a first compute unit included within the multiprocessor, the at least one single instruction to cause the first compute unit to perform a two-dimensional matrix multiply and accumulate operation, wherein to perform the two-dimensional matrix multiply and accumulate operation includes to compute an intermediate product of 16-bit operands and to compute a 32-bit sum based on the intermediate product.

公开(公告)号：US20230030396A1

公开(公告)日：2023-02-02

申请号：US17966151

申请日：2022-10-14

Applicant: Intel Corporation

Inventor： Nikos Kaburlasos ,  Iqbal Rajwani ,  Bhushan Borole ,  Kamal Sinha ,  Sanjeev Jahagirdar

IPC: G06F1/28

Abstract: Dynamic power budget allocation in a multi-processor system is described. In an example, an apparatus includes a plurality of processor units; and a power control component, the power control component to monitor power utilization of each of the plurality of processor units, wherein power consumed by the plurality of processor units is limited by a global power budget. The apparatus is to assign a workload to each of the processor units and is to establish an initial power budget for operation of each of the processor units, and, upon the apparatus determining that one or more processor units require an increased power budget based on one or more criteria, the apparatus is to dynamically reallocate an amount of the global power budget to the one or more processor units.

公开(公告)号：US20220357742A1

公开(公告)日：2022-11-10

申请号：US17750917

申请日：2022-05-23

Applicant: Intel Corporation

Inventor： Abhishek R. Appu ,  Altug Koker ,  Joydeep Ray ,  Balaji Vembu ,  John C. Weast ,  Mike B. Macpherson ,  Dukhwan Kim ,  Linda L. Hurd ,  Sanjeev Jahagirdar ,  Vasanth Ranganathan

IPC: G05D1/00 ,  G06N3/063 ,  G06F9/52 ,  G06N3/04 ,  G06N3/08

Abstract: A mechanism is described for facilitating barriers and synchronization for machine learning at autonomous machines. A method of embodiments, as described herein, includes detecting thread groups relating to machine learning associated with one or more processing devices. The method may further include facilitating barrier synchronization of the thread groups across multiple dies such that each thread in a thread group is scheduled across a set of compute elements associated with the multiple dies, where each die represents a processing device of the one or more processing devices, the processing device including a graphics processor.

公开(公告)号：US20220188967A1

公开(公告)日：2022-06-16

申请号：US17685117

申请日：2022-03-02

Applicant: Intel Corporation

Inventor： Altug Koker ,  Lance Cheney ,  Eric Finley ,  Varghese George ,  Sanjeev Jahagirdar ,  Josh Mastronarde ,  Naveen Matam ,  Iqbal Rajwani ,  Lakshminarayanan Striramassarma ,  Melaku Teshome ,  Vikranth Vemulapalli ,  Binoj Xavier

IPC: G06T1/20 ,  G06F13/40

Abstract: A disaggregated processor package can be configured to accept interchangeable chiplets. Interchangeability is enabled by specifying a standard physical interconnect for chiplets that can enable the chiplet to interface with a fabric or bridge interconnect. Chiplets from different IP designers can conform to the common interconnect, enabling such chiplets to be interchangeable during assembly. The fabric and bridge interconnects logic on the chiplet can then be configured to confirm with the actual interconnect layout of the on-board logic of the chiplet. Additionally, data from chiplets can be transmitted across an inter-chiplet fabric using encapsulation, such that the actual data being transferred is opaque to the fabric, further enable interchangeability of the individual chiplets, With such an interchangeable design, cache or DRAM memory can be inserted into memory chiplet slots, while compute or graphics chiplets with a higher or lower core count can be inserted into logic chiplet slots.

公开(公告)号：US11360808B2

公开(公告)日：2022-06-14

申请号：US15482801

申请日：2017-04-09

Applicant: Intel Corporation

Inventor： Joydeep Ray ,  Abhishek R. Appu ,  Altug Koker ,  Kamal Sinha ,  Balaji Vembu ,  Rajkishore Barik ,  Eriko Nurvitadhi ,  Nicolas Galoppo Von Borries ,  Tsung-Han Lin ,  Sanjeev Jahagirdar ,  Vasanth Ranganathan

IPC: G06F9/48 ,  G06T1/20

Abstract: A mechanism is described for facilitating intelligent thread scheduling at autonomous machines. A method of embodiments, as described herein, includes detecting dependency information relating to a plurality of threads corresponding to a plurality of workloads associated with tasks relating to a processor including a graphics processor. The method may further include generating a tree of thread groups based on the dependency information, where each thread group includes multiple threads, and scheduling one or more of the thread groups associated a similar dependency to avoid dependency conflicts.

公开(公告)号：US20220156202A1

公开(公告)日：2022-05-19

申请号：US17590362

申请日：2022-02-01

Applicant: Intel Corporation

Inventor： Altug Koker ,  Joydeep Ray ,  Elmoustapha Ould-Ahmed-Vall ,  Abhishek Appu ,  Aravindh Anantaraman ,  Valentin Andrei ,  Durgaprasad Bilagi ,  Varghese George ,  Brent Insko ,  Sanjeev Jahagirdar ,  Scott Janus ,  Pattabhiraman K ,  SungYe Kim ,  Subramaniam Maiyuran ,  Vasanth Ranganathan ,  Lakshminarayanan Striramassarma ,  Xinmin Tian

IPC: G06F12/123 ,  G06F12/0891 ,  G06T1/60 ,  G06F12/0875

Abstract: Systems and methods for improving cache efficiency and utilization are disclosed. In one embodiment, a graphics processor includes processing resources to perform graphics operations and a cache controller of a cache memory that is coupled to the processing resources. The cache controller is configured to set an initial aging policy using an aging field based on age of cache lines within the cache memory and to determine whether a hint or an instruction to indicate a level of aging has been received. In one embodiment, the cache memory configured to be partitioned into multiple cache regions, wherein the multiple cache regions include a first cache region having a cache eviction policy with a configurable level of data persistence.

公开(公告)号：US11169799B2

公开(公告)日：2021-11-09

申请号：US16432402

申请日：2019-06-05

Applicant: Intel Corporation

Inventor： Himanshu Kaul ,  Mark A. Anders ,  Sanu K. Mathew ,  Anbang Yao ,  Joydeep Ray ,  Ping T. Tang ,  Michael S. Strickland ,  Xiaoming Chen ,  Tatiana Shpeisman ,  Abhishek R. Appu ,  Altug Koker ,  Kamal Sinha ,  Balaji Vembu ,  Nicolas C. Galoppo Von Borries ,  Eriko Nurvitadhi ,  Rajkishore Barik ,  Tsung-Han Lin ,  Vasanth Ranganathan ,  Sanjeev Jahagirdar

IPC: G06F9/30 ,  G06F9/38 ,  G06F7/483 ,  G06F7/544 ,  G06N3/063 ,  G06N20/00 ,  G09G5/393 ,  G06N3/04 ,  G06N3/08 ,  G06T15/00

Abstract: One embodiment provides for a graphics processing unit to accelerate machine-learning operations, the graphics processing unit comprising a multiprocessor having a single instruction, multiple thread (SIMT) architecture, the multiprocessor to execute at least one single instruction; and a first compute unit included within the multiprocessor, the at least one single instruction to cause the first compute unit to perform a two-dimensional matrix multiply and accumulate operation, wherein to perform the two-dimensional matrix multiply and accumulate operation includes to compute a 32-bit intermediate product of 16-bit operands and to compute a 32-bit sum based on the 32-bit intermediate product.

公开(公告)号：US20210256654A1

公开(公告)日：2021-08-19

申请号：US17161941

申请日：2021-01-29

Applicant: Intel Corporation

Inventor： Altug Koker ,  Lance Cheney ,  Eric Finley ,  Varghese George ,  Sanjeev Jahagirdar ,  Josh Mastronarde ,  Naveen Matam ,  Iqbal Rajwani ,  Lakshminarayanan Striramassarma ,  Melaku Teshome ,  Vikranth Vemulapalli ,  Binoj Xavier

IPC: G06T1/20 ,  G06F13/40

Abstract: A disaggregated processor package can be configured to accept interchangeable chiplets. Interchangeability is enabled by specifying a standard physical interconnect for chiplets that can enable the chiplet to interface with a fabric or bridge interconnect. Chiplets from different IP designers can conform to the common interconnect, enabling such chiplets to be interchangeable during assembly. The fabric and bridge interconnects logic on the chiplet can then be configured to confirm with the actual interconnect layout of the on-board logic of the chiplet. Additionally, data from chiplets can be transmitted across an inter-chiplet fabric using encapsulation, such that the actual data being transferred is opaque to the fabric, further enable interchangeability of the individual chiplets. With such an interchangeable design, higher or lower density memory can be inserted into memory chiplet slots, while compute or graphics chiplets with a higher or lower core count can be inserted into logic chiplet slots.