FATE: fast and accurate timing error prediction framework for low power DNN accelerator design - researchr publication

researchr

You are not signed in
Sign in
Sign up

Jeff Jun Zhang, Siddharth Garg. FATE: fast and accurate timing error prediction framework for low power DNN accelerator design. In Iris Bahar, editor, Proceedings of the International Conference on Computer-Aided Design, ICCAD 2018, San Diego, CA, USA, November 05-08, 2018. pages 24, ACM, 2018. [doi]

Abstract is missing.

runs on WebDSL