research-article

SoftSig: Software-Exposed Hardware Signatures for Code Analysis and Optimization

Authors:

James Tuck,

Wonsun Ahn,

Josep Torrellas,

Luis CezeAuthors Info & Claims

IEEE Micro, Volume 29, Issue 1

Pages 84 - 95

https://doi.org/10.1109/MM.2009.15

Published: 01 January 2009 Publication History

Publisher Site

Abstract

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 http://doi.acm.org/10.1145/1346281.1346300

Index Terms

SoftSig: Software-Exposed Hardware Signatures for Code Analysis and Optimization
1. Hardware
  1. Communication hardware, interfaces and storage
2. Software and its engineering
  1. Software notations and tools
    1. Compilers

Recommendations

SoftSig: software-exposed hardware signatures for code analysis and optimization
ASPLOS '08

Many code analysis techniques for optimization, debugging, or parallelization need to perform runtime disambiguation of sets of addresses. Such operations can be supported efficiently and with low complexity with hardware signatures.

To enable flexible ...
SoftSig: software-exposed hardware signatures for code analysis and optimization
ASPLOS '08

Many code analysis techniques for optimization, debugging, or parallelization need to perform runtime disambiguation of sets of addresses. Such operations can be supported efficiently and with low complexity with hardware signatures.

To enable flexible ...
SoftSig: software-exposed hardware signatures for code analysis and optimization
ASPLOS '08

Many code analysis techniques for optimization, debugging, or parallelization need to perform runtime disambiguation of sets of addresses. Such operations can be supported efficiently and with low complexity with hardware signatures.

To enable flexible ...

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Information & Contributors

Information

Published In

IEEE Micro Volume 29, Issue 1

January 2009

145 pages

ISSN:0272-1732

Issue’s Table of Contents

Publisher

IEEE Computer Society Press

Washington, DC, United States

Publication History

Published: 01 January 2009

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