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Issue No. 01 - January/February (2009 vol. 29)
ISSN: 0272-1732
pp: 84-95
James Tuck , North Carolina State University
Wonsun Ahn , University of Illinois, Urbana-Champaign
Josep Torrellas , University of Illinois, Urbana-Champaign
Luis Ceze , University of Washington
<p>Many code analysis techniques for optimization, debugging, and parallelization must perform runtime disambiguation of address sets. Hardware signatures support such operations efficiently and with low complexity. SoftSig exposes hardware signatures to software through instructions that control which addresses to collect and which to disambiguate against. The Memoise algorithm demonstrates SoftSig's versatility by detecting and eliminating redundant function calls. DOI of original article is available at </p>
memory disambiguation, multicore architectures, runtime optimization

L. Ceze, J. Torrellas, J. Tuck and W. Ahn, "SoftSig: Software-Exposed Hardware Signatures for Code Analysis and Optimization," in IEEE Micro, vol. 29, no. , pp. 84-95, 2009.
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