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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.
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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.
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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.
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公开(公告)号:US20220261357A1
公开(公告)日:2022-08-18
申请号:US17734994
申请日:2022-05-02
Applicant: Intel Corporation
Inventor: Ronen Gabbai , Amit Bleiweiss , Ohad Falik , Amit Gur , Almog Tzabary
IPC: G06F12/128 , G06F12/0891 , G06F12/126 , G06K9/62
Abstract: Systems, apparatuses, and methods include technology that determines, with a neural network, that a first eviction node stored in a cache will be evicted from the cache based on a cache policy. The first eviction node is part of a plurality of nodes associated with a graph. Further, a subset of nodes of the plurality of nodes remains in the cache after the eviction of the first eviction node from the cache. The technology further tracks a number of cache hits on the cache during an aggregation operation associated with a hardware accelerator, where the aggregation operation is executed on the subset of nodes that remain in the cache after the eviction of the eviction node from the cache. The technology executes a training process on the neural network to adjust the cache policy based on the number of the cache hits.
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5.
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
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.
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6.
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
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.
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7.
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
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.
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