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Recent extensions to the SimpleScalar tool suite
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Volume 31 ,  Issue 4  (March 2004) table of contents
Special issue on tools for computer architecture research
Pages: 4 - 7  
Year of Publication: 2004
ISSN:0163-5999
Authors
Doug Burger  University of Michigan
Todd M. Austin  University of Michigan
Stephen W. Keckler  The University of Texas at Austin
Publisher
ACM  New York, NY, USA
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ABSTRACT

Over the past eight years, the SimpleScalar Tool suite has become the most widely used set of simulation tools in the computer architecture research community. The authors have recently completed an NSF-funded project to extend and improve the SimpleScalar tools. In this paper, we describe the extensions and improvements to the tools, which include the capability to simulate more instruction sets, graphical support for performance viewing, and more simulators that model different types of machines, including embedded systems, ISA-specific systems, systems with operating system, and multiprocessing systems.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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D. Burger, A. Kägi, and M. Hrishikesh. Memory hierarchy extensions to the simplescalar tool set. Technical Report TR-99-25, Department of Computer Sciences, University of Texas at Austin, Austin, TX, December 1999.
 
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D. Burger and T. Austin. The simplescalar tool set version 2.0. Technical Report 1342, Computer Sciences Department, University of Wisconsin, Madison, WI, June 1997.
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R. Desikan, D. Burger, S. Keckler, and T. Austin. Simalpha: a validated, execution-driven alpha 21264 simulator. Technical Report TR-00-04, Department of Computer Sciences, University of Texas at Austin, Austin, TX, February 2000.
 
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E. Larson, S. Chatterjee, and T. Austin. The mase microarchitecture simulation environment. In Proceedings of the 2001 International Symposium on Performance Analysis of Systems and Software, June 2001.
 
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C. Weaver, K. C. Barr, E. D. Marsman, D. Ernst, and T. Austin. Performance analysis using pipeline visualization. In Proceedings of the 2001 International Symposium on Performance Analysis of Systems and Software, June 2001.
Collaborative Colleagues:
Doug Burger: colleagues
Todd M. Austin: colleagues
Stephen W. Keckler: colleagues