DocumentCode
2926534
Title
A software solution for dynamic stack management on scratch pad memory
Author
Kannan, Arun ; Shrivastava, Aviral ; Pabalkar, Amit ; Lee, Jong-eun
Author_Institution
Dept. of Comput. Sci. & Eng., Arizona State Univ., Tempe, AZ
fYear
2009
fDate
19-22 Jan. 2009
Firstpage
612
Lastpage
617
Abstract
In an effort to make processors more power efficient scratch pad memory (SPM) have been proposed instead of caches, which can consume majority of processor power. However, application mapping on SPMs remain a challenge. We propose a dynamic SPM management scheme for program stack data for processor power reduction. As opposed to previous efforts, our solution does not mandate any hardware changes, does not need profile information, and SPM size at compile-time, and seamlessly integrates support for recursive functions. Our technique manages stack frames on SPM using a scratch pad memory manager (SPMM), integrated into the application binary by the compiler. Our experiments on benchmarks from MiBench show average energy savings of 37% along with a performance improvement of 18%.
Keywords
power aware computing; storage management; dynamic stack management; processor power reduction; program stack data; scratch pad memory manager; software solution; Application software; Computer science; Data analysis; Energy management; Engineering management; Hardware; Logic arrays; Memory management; Power engineering and energy; Scanning probe microscopy;
fLanguage
English
Publisher
ieee
Conference_Titel
Design Automation Conference, 2009. ASP-DAC 2009. Asia and South Pacific
Conference_Location
Yokohama
Print_ISBN
978-1-4244-2748-2
Electronic_ISBN
978-1-4244-2749-9
Type
conf
DOI
10.1109/ASPDAC.2009.4796548
Filename
4796548
Link To Document