Invention Grant
- Patent Title: Low rank matrix compression
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Application No.: US15482725Application Date: 2017-04-08
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Publication No.: US11037330B2Publication Date: 2021-06-15
- 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
- Agency: Jaffery Watson Mendonsa & Hamilton LLP
- Main IPC: G06T9/00
- IPC: G06T9/00 ; H04N19/42 ; G06N3/04 ; H04N19/436 ; G06N3/08

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
- US20180293758A1 LOW RANK MATRIX COMPRESSION Public/Granted day:2018-10-11
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