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Author

Lee, Jongeun
Renew: Reconfigurable and Neuromorphic Computing Lab
Research Interests
  • Reconfigurable processor architecture, neuromorphic processor, stochastic computing

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A Software-Only Solution to Use Scratch Pads for Stack Data

Cited 4 times inthomson ciCited 5 times inthomson ci
Title
A Software-Only Solution to Use Scratch Pads for Stack Data
Author
Shrivastava, AviralKannan, ArunLee, Jongeun
Keywords
Average energy; Cache; Compile time; Compilers; Performance improvements; Processor power; Scratch pad memory (SPM); Scratch-pad memory managements; Stack data
Issue Date
200911
Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Citation
IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, v.28, no.11, pp.1719 - 1727
Abstract
A dynamic scratch pad memory (SPM) management scheme for program stack data with the objective of processor power reduction is presented. Basic technique does not need the SPM size at compile time, does not mandate any hardware changes, does not need profile information, and seamlessly integrates support for recursive functions. Stack frames are managed using a software SPM manager, integrated into the application binary, and shows average energy savings of 32% along with a performance improvement of 13%, on benchmarks from MiBench. SPM management can be further optimized and made pointer safe, by knowing the SPM size.
URI
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DOI
http://dx.doi.org/10.1109/TCAD.2009.2030592
ISSN
0278-0070
Appears in Collections:
ECE_Journal Papers

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