A Resilient Interface for Approximate Data Access

Autor(es)

Fabricio Filho, Joao ; Felzmann, Isaias B. ; Azevedo, Rodolfo J. ; Wanner, Lucas F. ; IEEE

• Tipo de documento: Artigo Científico
• Fonte: 2022 25TH INTERNATIONAL CONFERENCE ON INFORMATION FUSION (FUSION 2022); v. N/A, p. 8-pg., 2019-01-01.

Resumo

Approximate memories offer lower energy cost while introducing errors to applications. If such errors affect essential parts of the application, the execution may fail, decreasing outputs quality and energy savings. We present AxRAM, a memory architecture interface for approximate data that allows applications to benefit from energy savings provided by approximate memories, while improving quality of results and failure rates. AxRAM places critical application data into non-approximate memory regions and implements a resilient addressing scheme that reduces invalid data accesses that lead to application crashes. On a voltage-overscaled SRAM, AxRAM reduces 50.97% of application crashes on average when compared to an unprotected approximate memory. Compared to a system using non approximate SRAM, our proposal reduces energy consumption by 4536% on average while providing at least 80% output quality. (AU)

• Processo FAPESP: 18/24177-0 - Suporte Arquitetural para Computação Aproximada
• Beneficiário: Isaías Bittencourt Felzmann
• Modalidade de apoio: Bolsas no Brasil - Doutorado