Invention Publication
- Patent Title: LOW RANK MATRIX COMPRESSION
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Application No.: US18191565Application Date: 2023-03-28
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Publication No.: US20230316589A1Publication Date: 2023-10-05
- 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
- Applicant: Intel Corporation
- Applicant Address: US CA Santa Clara
- Assignee: Intel Corporation
- Current Assignee: Intel Corporation
- Current Assignee Address: US CA Santa Clara
- Main IPC: G06T9/00
- IPC: G06T9/00 ; H04N19/42 ; H04N19/436 ; G06N3/084 ; G06N3/088 ; G06N3/044 ; G06N3/045 ; G06N3/047 ; G06N3/048

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.
Public/Granted literature
- US12131507B2 Low rank matrix compression Public/Granted day:2024-10-29
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