Abstract

Electrical static random memory (E-SRAM) is the current standard for internal static memory in Field Programmable Gate Array (FPGA). Despite the dramatic improvement in E-SRAM technology over the past decade, the goal of ultra-fast, energy-efficient static random memory has yet to be achieved with E-SRAM technology. However, preliminary research into optical static random access memory (O-SRAM) has shown promising results in creating energy-efficient ultra-fast static memories. This paper investigates the advantage of O-SRAM over E-SRAM in access speed and energy performance while exe-cuting sparse Matricized Tensor Times Khatri-Rao Product (spMTTKRP). spMTTKRP is an essential component of tensor decomposition algorithms which is heavily used in data science applications. The evaluation results show O-SRAMs can achieve speeds of 1.1 × − 2.9 × while saving 2.8 × − 8.1 × energy …

Date

September 19, 2022

Authors

Sasindu Wijeratne, Akhilesh Jaiswal, Ajey P Jacob, Bingyi Zhang, Viktor Prasanna

Conference

2022 IEEE High Performance Extreme Computing Conference (HPEC)

Pages

1-7

Publisher

IEEE