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A software solution for dynamic stack management on scratch pad memory

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4 Author(s)
Arun Kannan ; Department of Computer Science and Engineering, Arizona State University, Tempe, 85281, USA ; Aviral Shrivastava ; Amit Pabalkar ; Jong-eun Lee

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%.

Published in:

2009 Asia and South Pacific Design Automation Conference

Date of Conference:

19-22 Jan. 2009