Comprehensive Accelerator-Dataflow Co-design Optimization for Convolutional Neural Networks (Conference Paper) | NSF PAGES

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Citation Details

Comprehensive Accelerator-Dataflow Co-design Optimization for Convolutional Neural Networks

Award ID(s):: 2118737 2119677 1946752

NSF-PAR ID:: 10412392

Author(s) / Creator(s):: Vaidya, Miheer; Sukumaran-Rajam, Aravind; Rountev, Atanas; Sadayappan, P.

Date Published:: 2022-04-02

Journal Name:: International Symposium on Code Generation and Optimization (CGO)

Page Range / eLocation ID:: 325 to 335

Format(s):: Medium: X

Sponsoring Org:: National Science Foundation

Free Publicly Accessible Full Text
Accepted Manuscript1.0
Conference Paper:
https://doi.org/10.1109/CGO53902.2022.9741281