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SimFlex: a fast, accurate, flexible full-system simulation framework for performance evaluation of server architecture
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Volume 31 ,  Issue 4  (March 2004) table of contents
Special issue on tools for computer architecture research
Pages: 31 - 34  
Year of Publication: 2004
ISSN:0163-5999
Authors
Nikolaos Hardavellas  Carnegie Mellon University, Pittsburgh, PA
Stephen Somogyi  Carnegie Mellon University, Pittsburgh, PA
Thomas F. Wenisch  Carnegie Mellon University, Pittsburgh, PA
Roland E. Wunderlich  Carnegie Mellon University, Pittsburgh, PA
Shelley Chen  Carnegie Mellon University, Pittsburgh, PA
Jangwoo Kim  Carnegie Mellon University, Pittsburgh, PA
Babak Falsafi  Carnegie Mellon University, Pittsburgh, PA
James C. Hoe  Carnegie Mellon University, Pittsburgh, PA
Andreas G. Nowatzyk  Carnegie Mellon University, Pittsburgh, PA
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 14,   Downloads (12 Months): 39,   Citation Count: 11
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ABSTRACT

The new focus on commercial workloads in simulation studies of server systems has caused a drastic increase in the complexity and decrease in the speed of simulation tools. The complexity of a large-scale full-system model makes development of a monolithic simulation tool a prohibitively difficult task. Furthermore, detailed full-system models simulate so slowly that experimental results must be based on simulations of only fractions of a second of execution of the modelled system.This paper presents SIMFLEX, a simulation framework which uses component-based design and rigorous statistical sampling to enable development of complex models and ensure representative measurement results with fast simulation turnaround. The novelty of SIMFLEX lies in its combination of a unique, compile-time approach to component interconnection and a methodology for obtaining accurate results from sampled simulations on a platform capable of evaluating unmodified commercial workloads.


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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Alaa R. Alameldeen, Carl J. Mauer, Min Xu, Pacia J. Harper, Milo K. Martin, Daniel J. Sorin, Mark D. Hill, and David A. Wood. Evaluating non-deterministic multi-threaded commercial workloads. In Fifth Workshop on Computer Architecture Evaluation using Commercial Workloads, February 2002.
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D. Burger and T. M. Austin. The SimpleScalar tool set, version 2.0. Technical Report 1342, Computer Sciences Department, University of Wisconsin-Madison, June 1997.
 
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Joel Emer. Personal communication., March 2003.
 
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Vijay S. Pai, Parthasarathy Ranganathan, and Sarita V. Adve. RSIM: An execution-driven simulator for ILP-based shared-memory multiprocessors and uniprocessors. In Third Workshop on Computer Architecture Education, February 1997.
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CITED BY  11
Collaborative Colleagues:
Nikolaos Hardavellas: colleagues
Stephen Somogyi: colleagues
Thomas F. Wenisch: colleagues
Roland E. Wunderlich: colleagues
Shelley Chen: colleagues
Jangwoo Kim: colleagues
Babak Falsafi: colleagues
James C. Hoe: colleagues
Andreas G. Nowatzyk: colleagues