公开(公告)号：US20250123881A1

公开(公告)日：2025-04-17

申请号：US18927065

申请日：2024-10-25

Applicant: Intel Corporation

Inventor： Rajesh M. SANKARAN ,  Gilbert NEIGER ,  Narayan RANGANATHAN ,  Stephen R. VAN DOREN ,  Joseph NUZMAN ,  Niall D. MCDONNELL ,  Michael A. O'HANLON ,  Lokpraveen B. MOSUR ,  Tracy Garrett DRYSDALE ,  Eriko NURVITADHI ,  Asit K. MISHRA ,  Ganesh VENKATESH ,  Deborah T. MARR ,  Nicholas P. CARTER ,  Jonathan D. PEARCE ,  Edward T. GROCHOWSKI ,  Richard J. GRECO ,  Robert VALENTINE ,  Jesus CORBAL ,  Thomas D. FLETCHER ,  Dennis R. BRADFORD ,  Dwight P. MANLEY ,  Mark J. CHARNEY ,  Jeffry J. COOK ,  Paul CAPRIOLI ,  Koichi YAMADA ,  Kent D. GLOSSOP ,  David B. SHEFFIELD

IPC: G06F9/48 ,  G06F9/30 ,  G06F9/38

Abstract: Embodiments of systems, methods, and apparatuses for heterogeneous computing are described. In some embodiments, a hardware heterogeneous scheduler dispatches instructions for execution on one or more plurality of heterogeneous processing elements, the instructions corresponding to a code fragment to be processed by the one or more of the plurality of heterogeneous processing elements, wherein the instructions are native instructions to at least one of the one or more of the plurality of heterogeneous processing elements.

公开(公告)号：US20180189675A1

公开(公告)日：2018-07-05

申请号：US15396515

申请日：2016-12-31

Applicant: Intel Corporation

Inventor： Eriko NURVITADHI ,  Ganesh VENKATESH ,  Srivatsan KRISHNAN ,  Suchit SUBHASCHANDRA ,  Deborah MARR

IPC: G06N99/00 ,  G06F17/30

CPC classification number: G06N20/00 ,  G06F16/2237 ,  G06F16/285 ,  G06F17/16

Abstract: Hardware accelerator architectures for clustering are described. A hardware accelerator includes sparse tiles and very/hyper sparse tiles. The sparse tile(s) execute operations for a clustering task involving a matrix. Each sparse tile includes a first plurality of processing units to operate upon a first plurality of blocks of the matrix that have been streamed to one or more random access memories of the sparse tiles over a high bandwidth interface from a first memory unit. Each of the very/hyper sparse tiles are to execute operations for the clustering task involving the matrix. Each of the very/hyper sparse tiles includes a second plurality of processing units to operate upon a second plurality of blocks of the matrix that have been randomly accessed over a low-latency interface from a second memory unit.

公开(公告)号：US20230418655A1

公开(公告)日：2023-12-28

申请号：US18207870

申请日：2023-06-09

Applicant: Intel Corporation

Inventor： Rajesh M. SANKARAN ,  Gilbert NEIGER ,  Narayan RANGANATHAN ,  Stephen R. VAN DOREN ,  Joseph NUZMAN ,  Niall D. MCDONNELL ,  Michael A. O'HANLON ,  Lokpraveen B. MOSUR ,  Tracy Garrett DRYSDALE ,  Eriko NURVITADHI ,  Asit K. MISHRA ,  Ganesh VENKATESH ,  Deborah T. MARR ,  Nicholas P. CARTER ,  Jonathan D. PEARCE ,  Edward T. GROCHOWSKI ,  Richard J. GRECO ,  Robert VALENTINE ,  Jesus CORBAL ,  Thomas D. FLETCHER ,  Dennis R. BRADFORD ,  Dwight P. MANLEY ,  Mark J. CHARNEY ,  Jeffrey J. COOK ,  Paul CAPRIOLI ,  Koichi YAMADA ,  Kent D. GLOSSOP ,  David B. SHEFFIELD

IPC: G06F9/48 ,  G06F9/30 ,  G06F9/38

CPC classification number: G06F9/48 ,  G06F9/3001 ,  G06F9/383 ,  G06F9/3004 ,  G06F9/30036

Abstract: Embodiments of systems, methods, and apparatuses for heterogeneous computing are described. In some embodiments, a hardware heterogeneous scheduler dispatches instructions for execution on one or more plurality of heterogeneous processing elements, the instructions corresponding to a code fragment to be processed by the one or more of the plurality of heterogeneous processing elements, wherein the instructions are native instructions to at least one of the one or more of the plurality of heterogeneous processing elements.

公开(公告)号：US20220164218A1

公开(公告)日：2022-05-26

申请号：US17381521

申请日：2021-07-21

Applicant: Intel Corporation

Inventor： Rajesh M. SANKARAN ,  Gilbert NEIGER ,  Narayan RANGANATHAN ,  Stephen R. VAN DOREN ,  Joseph NUZMAN ,  Niall D. MCDONNELL ,  Michael A. O'HANLON ,  Lokpraveen B. MOSUR ,  Tracy Garrett DRYSDALE ,  Eriko NURVITADHI ,  Asit K. MISHRA ,  Ganesh VENKATESH ,  Deborah T. MARR ,  Nicholas P. CARTER ,  Jonathan D. PEARCE ,  Edward T. GROCHOWSKI ,  Richard J. GRECO ,  Robert VALENTINE ,  Jesus CORBAL ,  Thomas D. FLETCHER ,  Dennis R. BRADFORD ,  Dwight P. MANLEY ,  Mark J. CHARNEY ,  Jeffrey J. COOK ,  Paul CAPRIOLI ,  Koichi YAMADA ,  Kent D. GLOSSOP ,  David B. SHEFFIELD

IPC: G06F9/48 ,  G06F9/30 ,  G06F9/38

Abstract: Embodiments of systems, methods, and apparatuses for heterogeneous computing are described. In some embodiments, a hardware heterogeneous scheduler dispatches instructions for execution on one or more plurality of heterogeneous processing elements, the instructions corresponding to a code fragment to be processed by the one or more of the plurality of heterogeneous processing elements, wherein the instructions are native instructions to at least one of the one or more of the plurality of heterogeneous processing elements.

公开(公告)号：US20180189110A1

公开(公告)日：2018-07-05

申请号：US15396510

申请日：2016-12-31

Applicant: Intel Corporation

Inventor： Ganesh VENKATESH ,  Deborah MARR

IPC: G06F9/50 ,  G06F9/48

CPC classification number: G06F9/5083 ,  G06F9/4881 ,  G06F15/8092 ,  G06F2209/509 ,  G06N7/005 ,  G06N20/00 ,  G06T1/20

Abstract: Techniques involving a compute engine architecture to support data-parallel loops with reduction operations are described. In some embodiments, a hardware processor includes a memory unit and a plurality of processing elements (PEs). Each of the PEs is directly coupled via one or more neighbor-to-neighbor links with one or more neighboring PEs so that each PE can receive a value from a neighboring PE, provide a value to a neighboring PE, or both receive a value from one neighboring PE and also provide a value to another neighboring PE. The hardware processor also includes a control engine coupled with the plurality of PEs that is to cause the plurality of PEs to collectively perform a task to generate one or more output values by each performing one or more iterations of a same subtask of the task.

公开(公告)号：US20180188961A1

公开(公告)日：2018-07-05

申请号：US15396509

申请日：2016-12-31

Applicant: Intel Corporation

Inventor： Ganesh VENKATESH ,  Deborah MARR

IPC: G06F3/06 ,  G06N99/00 ,  G06F12/06

CPC classification number: G06F3/0604 ,  G06F3/061 ,  G06F3/0637 ,  G06F3/0638 ,  G06F3/0673 ,  G06F12/0646 ,  G06F13/1663 ,  G06F2212/1016 ,  G06N20/00 ,  Y02D10/14

Abstract: Techniques for enabling enhanced parallelism for sparse linear algebra operations having write-to-read dependencies are disclosed. A hardware processor includes a plurality of processing elements, a memory that is heavily-banked into a plurality of banks, and an arbiter. The arbiter is to receive requests from threads executing at the plurality of processing elements seeking to perform operations involving the memory, and to maintain a plurality of lock buffers corresponding to the plurality of banks. Each of the lock buffers is able to track up to a plurality of memory addresses within the corresponding bank that are to be treated as locked in that the values stored at those memory addresses cannot be updated by those of the threads that did not cause the memory addresses to be locked until those memory addresses have been removed from being tracked by the plurality of lock buffers.