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公开(公告)号:US20240160910A1
公开(公告)日:2024-05-16
申请号:US18527734
申请日:2023-12-04
Applicant: Intel Corporation
Inventor: Uzi Sarel , Ehud Cohen , Tomer Schwartz , Amitai Armon , Yahav Shadmiy , Amit Bleiweiss , Gal Leibovich , Jeremie Dreyfuss , Lev Faivishevsky , Tomer Bar-On , Yaniv Fais , Jacob Subag
CPC classification number: G06N3/063 , G06F9/30014 , G06F9/30025 , G06F9/30043 , G06N3/044 , G06N3/045 , G06N3/084
Abstract: In an example, an apparatus comprises a plurality of execution units comprising at least a first type of execution unit and a second type of execution unit and logic, at least partially including hardware logic, to expose embedded cast operations in at least one of a load instruction or a store instruction; determine a target precision level for the cast operations; and load the cast operations at the target precision level. Other embodiments are also disclosed and claimed.
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公开(公告)号:US11620766B2
公开(公告)日:2023-04-04
申请号:US17344639
申请日:2021-06-10
Applicant: INTEL CORPORATION
Inventor: Tomer Bar-On , Jacob Subag , Yaniv Fais , Jeremie Dreyfuss , Gal Novik , Gal Leibovich , Tomer Schwartz , Ehud Cohen , Lev Faivishevsky , Uzi Sarel , Amitai Armon , Yahav Shadmiy
Abstract: In an example, an apparatus comprises logic, at least partially including hardware logic, to implement a lossy compression algorithm which utilizes a data transform and quantization process to compress data in a convolutional neural network (CNN) layer.
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公开(公告)号:US20220067496A1
公开(公告)日:2022-03-03
申请号:US17398302
申请日:2021-08-10
Applicant: Intel Corporation
Inventor: Uzi Sarel , Ehud Cohen , Tomer Schwartz , Amitai Armon , Yahav Shadmiy , Amit Bleiweiss , Gal Leibovich , Jeremie Dreyfuss , Lev Faivishevsky , Tomer Bar-On , Yaniv Fais , Jacob Subag
Abstract: In an example, an apparatus comprises a plurality of execution units comprising at least a first type of execution unit and a second type of execution unit and logic, at least partially including hardware logic, to expose embedded cast operations in at least one of a load instruction or a store instruction; determine a target precision level for the cast operations; and load the cast operations at the target precision level. Other embodiments are also disclosed and claimed.
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24.
公开(公告)号:US11250610B2
公开(公告)日:2022-02-15
申请号:US17006253
申请日:2020-08-28
Applicant: Intel Corporation
Inventor: Uzi Sarel , Ehud Cohen , Tomer Schwartz , Amitai Armon , Yahav Shadmiy , Itamar Ben-Ari , Amit Bleiweiss , Lev Faivishevsky , Tomer Bar-On , Yaniv Fais , Jacob Subag , Michael Behar , Guy Jacob , Gal Leibovich , Jeremie Dreyfuss
Abstract: In an example, an apparatus comprises a plurality of execution units; and logic, at least partially including hardware logic, to determine a sub-graph of a network that can be executed in a frequency domain and apply computations in the sub-graph in the frequency domain. Other embodiments are also disclosed and claimed.
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25.
公开(公告)号:US10467795B2
公开(公告)日:2019-11-05
申请号:US15482724
申请日:2017-04-08
Applicant: Intel Corporation
Inventor: Uzi Sarel , Ehud Cohen , Tomer Schwartz , Amitai Armon , Yahav Shadmiy , Itamar Ben-Ari , Amit Bleiweiss , Lev Faivishevsky , Tomer Bar-On , Yaniv Fais , Jacob Subag , Michael Behar , Guy Jacob , Gal Leibovich , Jeremie Dreyfuss
Abstract: In an example, an apparatus comprises a plurality of execution units; and logic, at least partially including hardware logic, to determine a sub-graph of a network that can be executed in a frequency domain and apply computations in the sub-graph in the frequency domain. Other embodiments are also disclosed and claimed.
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公开(公告)号:US20180293758A1
公开(公告)日:2018-10-11
申请号:US15482725
申请日:2017-04-08
Applicant: Intel Corporation
Inventor: Tomer Bar-On , Jacob Subag , Yaniv Fais , Jeremie Dreyfuss , Gal Novik , Gal Leibovich , Tomer Schwartz , Ehud Cohen , Lev Faivishevsky , Uzi Sarel , Amitai Armon , Yahav Shadmiy
IPC: G06T9/00
Abstract: In an example, an apparatus comprises logic, at least partially including hardware logic, to implement a lossy compression algorithm which utilizes a data transform and quantization process to compress data in a convolutional neural network (CNN) layer. Other embodiments are also disclosed and claimed.
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