Approxilyzer: Towards A Systematic Framework for Instruction-Level Approximate Computing and its Application to Hardware Resiliency

Radha Venkatagiri, Abdulrahman Mahmoud, Siva Kumar Sastry Hari, and Sarita Adve

Published in International Symposium on Microarchitecture, 2016

Citation: Radha Venkatagiri, Abdulrahman Mahmoud, Siva Kumar Sastry Hari, and Sarita Adve. 2016. "Approxilyzer: Towards A Systematic Framework for Instruction-Level Approximate Computing and its Application to Hardware Resiliency," 2016 49th Annual IEEE/ACM International Symposium on Microarchitecture (MICRO), Taipei, 2016, pp. 1-14.

Acceptance Rate: 21.6%

Abstract  /  Full Text

Approxilyzer is open-sourced, available here!