Table of Contents Author Guidelines Submit a Manuscript
VLSI Design
Volume 2014 (2014), Article ID 712085, 11 pages
http://dx.doi.org/10.1155/2014/712085
Research Article

A Low-Power Scalable Stream Compute Accelerator for General Matrix Multiply (GEMM)

School of Engineering, University of Guelph, Guelph, ON, Canada N1G 2W1

Received 6 August 2013; Revised 15 December 2013; Accepted 18 December 2013; Published 24 February 2014

Academic Editor: Jim Ching-Rong Lin

Copyright © 2014 Antony Savich and Shawki Areibi. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [1 citation]

The following is the list of published articles that have cited the current article.

  • Hendrik Woehrle, and Frank Kirchner, “CAEMO - A Flexible and Scalable High Performance Matrix Algebra Coprocessor for Embedded Reconfigurable Computing Systems,” Microprocessors and Microsystems, 2017. View at Publisher ยท View at Google Scholar