Leakage-aware scratch-pad memory banking for embedded multidimensional signal processing

Leakage-aware scratch-pad memory banking for embedded multidimensional signal processing

Department

Computer Science & Engineering Department

Abstract

Partitioning a memory into multiple banks that can be independently accessed is an approach mainly used for the reduction of the dynamic energy consumption. When leakage energy comes into play as well, the idle memory banks must be put in a low-leakage 'dormant' state to save static energy when not accessed. The energy savings must be large enough to compensate the energy overhead spent by changing the bank status from active to dormant, then back to active again. This paper addresses the problem of energy-aware on-chip memory banking, taking into account - during the exploration of the search space - the idleness time intervals of the data mapped into the memory banks. As on-chip storage, we target scratch-pad memories (SPMs) since they are commonly used in embedded systems as an alternative to caches. The proposed approach proved to be computationally fast and very efficient when tested for several data-intensive applications, whose behavioral specifications contain multidimensional arrays as main data structures. © 2014 IEEE.

Publication Date

1-1-2014

Document Type

Book Chapter

Book Title

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

ISBN

SCOPUS_ID:84905265964

Publisher

IEEE

City

Florence, Italy

First Page

5026

Last Page

5030

Keywords

memory banking, memory management, multidimensional signal processing, scratch-pad memory

Leakage-aware scratch-pad memory banking for embedded multidimensional signal processing
Find this book in your library

Share

COinS