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 :
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