公开(公告)号：US20230333913A1

公开(公告)日：2023-10-19

申请号：US18309650

申请日：2023-04-28

Applicant: INTEL CORPORATION

Inventor： Michael Behar ,  Moshe Maor ,  Ronen Gabbai ,  Roni Rosner ,  Zigi Walter ,  Oren Agam

IPC: G06F9/50 ,  G06F16/901 ,  G06N3/044 ,  G06N3/045

CPC classification number: G06F9/5083 ,  G06F16/9024 ,  G06N3/044 ,  G06N3/045

Abstract: Methods, apparatus, systems and articles of manufacture are disclosed to configure heterogenous components in an accelerator. An example apparatus includes a graph compiler to identify a workload node in a workload and generate a selector for the workload node, and the selector to identify an input condition and an output condition of a compute building block, wherein the graph compiler is to, in response to obtaining the identified input condition and output condition from the selector, map the workload node to the compute building block.

公开(公告)号：US12217101B2

公开(公告)日：2025-02-04

申请号：US18309650

申请日：2023-04-28

Applicant: INTEL CORPORATION

Inventor： Michael Behar ,  Moshe Maor ,  Ronen Gabbai ,  Roni Rosner ,  Zigi Walter ,  Oren Agam

IPC: G06F9/50 ,  G06F16/901 ,  G06N3/044 ,  G06N3/045

Abstract: Methods, apparatus, systems and articles of manufacture are disclosed to configure heterogenous components in an accelerator. An example apparatus includes a graph compiler to identify a workload node in a workload and generate a selector for the workload node, and the selector to identify an input condition and an output condition of a compute building block, wherein the graph compiler is to, in response to obtaining the identified input condition and output condition from the selector, map the workload node to the compute building block.

公开(公告)号：US11675630B2

公开(公告)日：2023-06-13

申请号：US16541979

申请日：2019-08-15

Applicant: Intel Corporation

Inventor： Michael Behar ,  Moshe Maor ,  Ronen Gabbai ,  Roni Rosner ,  Zigi Walter ,  Oren Agam

IPC: G06F9/50 ,  G06F16/901 ,  G06N3/044 ,  G06N3/045

CPC classification number: G06F9/5083 ,  G06F16/9024 ,  G06N3/044 ,  G06N3/045

Abstract: Methods, apparatus, systems and articles of manufacture are disclosed to configure heterogenous components in an accelerator. An example apparatus includes a graph compiler to identify a workload node in a workload and generate a selector for the workload node, and the selector to identify an input condition and an output condition of a compute building block, wherein the graph compiler is to, in response to obtaining the identified input condition and output condition from the selector, map the workload node to the compute building block.

公开(公告)号：US11422939B2

公开(公告)日：2022-08-23

申请号：US16727657

申请日：2019-12-26

Applicant: Intel Corporation

Inventor： Israel Diamand ,  Ravi K. Venkatesan ,  Shlomi Shua ,  Oz Shitrit ,  Michael Behar ,  Roni Rosner

IPC: G06F12/00 ,  G06F12/084 ,  G06F12/126

Abstract: Disclosed embodiments relate to a shared read request (SRR) using a common request tracker (CRT) as a temporary cache. In one example, a multi-core system includes a memory and a memory controller to receive a SRR from a core when a Leader core is not yet identified, allocate a CRT entry and store the SRR therein, mark it as a Leader, send a read request to a memory address indicated by the SRR, and when read data returns from the memory, store the read data in the CRT entry, send the read data to the Leader core, and await receipt, unless already received, of another SRR from a Follower core, the other SRR having a same address as the SRR, then, send the read data to the Follower core, and deallocate the CRT entry.

公开(公告)号：US20220066923A1

公开(公告)日：2022-03-03

申请号：US17523384

申请日：2021-11-10

Applicant: Intel Corporation

Inventor： Zigi Walter ,  Roni Rosner ,  Michael Behar

IPC: G06F12/02 ,  G06F12/06 ,  G06F9/30 ,  G06F15/78 ,  G06F3/06

Abstract: Systems, apparatuses and methods may provide for technology that determines runtime memory requirements of an artificial intelligence (AI) application, defines a remote address range for a plurality of memories based on the runtime memory requirements, wherein each memory in the plurality of memories corresponds to a processor in a plurality of processors, and defines a shared address range for the plurality of memories based on the runtime memory requirements, wherein the shared address range is aliased. In one example, the technology configures memory mapping hardware to access the remote address range in a linear sequence and access the shared address range in a hashed sequence.

公开(公告)号：US11151074B2

公开(公告)日：2021-10-19

申请号：US16542085

申请日：2019-08-15

Applicant: Intel Corporation

Inventor： Israel Diamand ,  Roni Rosner ,  Ravi Venkatesan ,  Shlomi Shua ,  Oz Shitrit ,  Henrietta Bezbroz ,  Alexander Gendler ,  Ohad Falik ,  Zigi Walter ,  Michael Behar ,  Shlomi Alkalay

IPC: G06F13/42 ,  G06N3/04 ,  G06F13/20 ,  G06F12/0893

Abstract: Methods and apparatus to implement multiple inference compute engines are disclosed herein. A disclosed example apparatus includes a first inference compute engine, a second inference compute engine, and an accelerator on coherent fabric to couple the first inference compute engine and the second inference compute engine to a converged coherency fabric of a system-on-chip, the accelerator on coherent fabric to arbitrate requests from the first inference compute engine and the second inference compute engine to utilize a single in-die interconnect port.

公开(公告)号：US11847497B2

公开(公告)日：2023-12-19

申请号：US17561500

申请日：2021-12-23

Applicant: Intel Corporation

Inventor： Michael Behar ,  Moshe Maor ,  Ronen Gabbai ,  Roni Rosner ,  Zigi Walter ,  Oren Agam

IPC: G06F9/46 ,  G06F9/50 ,  G06F3/06

CPC classification number: G06F9/5016 ,  G06F3/0613 ,  G06F3/0659 ,  G06F3/0673 ,  G06F9/505

Abstract: Methods, apparatus, systems and articles of manufacture are disclosed that enable out-of-order pipelined execution of static mapping of a workload to one or more computational building blocks of an accelerator. An example apparatus includes an interface to load a first number of credits into memory; a comparator to compare the first number of credits to a threshold number of credits associated with memory availability in a buffer; and a dispatcher to, when the first number of credits meets the threshold number of credits, select a workload node of the workload to be executed at a first one of the one or more computational building blocks.

公开(公告)号：US20220197703A1

公开(公告)日：2022-06-23

申请号：US17561500

申请日：2021-12-23

Applicant: Intel Corporation

Inventor： Michael Behar ,  Moshe Maor ,  Ronen Gabbai ,  Roni Rosner ,  Zigi Walter ,  Oren Agam

IPC: G06F9/50 ,  G06F3/06

Abstract: Methods, apparatus, systems and articles of manufacture are disclosed that enable out-of-order pipelined execution of static mapping of a workload to one or more computational building blocks of an accelerator. An example apparatus includes an interface to load a first number of credits into memory; a comparator to compare the first number of credits to a threshold number of credits associated with memory availability in a buffer; and a dispatcher to, when the first number of credits meets the threshold number of credits, select a workload node of the workload to be executed at a first one of the one or more computational building blocks.

公开(公告)号：US11231963B2

公开(公告)日：2022-01-25

申请号：US16542012

申请日：2019-08-15

Applicant: Intel Corporation

Inventor： Michael Behar ,  Moshe Maor ,  Ronen Gabbai ,  Roni Rosner ,  Zigi Walter ,  Oren Agam

IPC: G06F9/46 ,  G06F9/50 ,  G06F3/06

Abstract: Methods, apparatus, systems and articles of manufacture are disclosed that enable out-of-order pipelined execution of static mapping of a workload to one or more computational building blocks of an accelerator. An example apparatus includes an interface to load a first number of credits into memory; a comparator to compare the first number of credits to a threshold number of credits associated with memory availability in a buffer; and a dispatcher to, when the first number of credits meets the threshold number of credits, select a workload node of the workload to be executed at a first one of the one or more computational building blocks.