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Performance modeling for early analysis of multi-core systems
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International Conference on Hardware Software Codesign archive
Proceedings of the 5th IEEE/ACM international conference on Hardware/software codesign and system synthesis table of contents
Salzburg, Austria
SESSION: Practical approaches to system-level performance analysis table of contents
Pages: 209 - 214  
Year of Publication: 2007
ISBN:978-1-59593-824-4
Authors
Reinaldo Bergamaschi  IBM T. J. Watson Research Center, Yorktown Heights, NY
Indira Nair  IBM T. J. Watson Research Center, Yorktown Heights, NY
Gero Dittmann  IBM T. J. Watson Research Center, Yorktown Heights, NY
Hiren Patel  Virginia Polytechnic Institute and State University, Blacksburg, VA
Geert Janssen  IBM T. J. Watson Research Center, Yorktown Heights, NY
Nagu Dhanwada  IBM STG/EDA, East Fishkill, NY
Alper Buyuktosunoglu  IBM T. J. Watson Research Center, Yorktown Heights, NY
Emrah Acar  IBM Austin Research Lab., Austin, TX
Gi-Joon Nam  IBM Austin Research Lab., Austin, TX
Dorothy Kucar  IBM T. J. Watson Research Center, Yorktown Heights, NY
Pradip Bose  IBM T. J. Watson Research Center, Yorktown Heights, NY
John Darringer  IBM T. J. Watson Research Center, Yorktown Heights, NY
Guoling Han  University of California, Los Angeles, CA
Sponsors
SIGDA: ACM Special Interest Group on Design Automation
ACM: Association for Computing Machinery
SIGBED: ACM Special Interest Group on Embedded Systems
SIGMICRO: ACM Special Interest Group on Microarchitectural Research and Processing
Publisher
ACM  New York, NY, USA
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ABSTRACT

Performance analysis of microprocessors is a critical step in defining the microarchitecture, prior to register-transfer-level (RTL) design. In complex chip multiprocessor systems, including multiple cores, caches and busses, this problem is compounded by complex performance interactions between cores, caches and interconnections, as well as by tight interdependencies between performance, power and physical characteristics of the design (i.e., floorplan). Although there are many point tools for the analysis of performance, or power, or floorplan of complex systems-on-chip (SoCs), there are surprisingly few works on an integrated tool that is capable of analyzing these various system characteristics simultaneously and allow the user to explore different design configurations and their effect on performance, power, size and thermal aspects.

This paper describes an integrated tool for early analysis of performance, power, physical and thermal characteristics of multi-core systems. It includes cycle-accurate, transaction-level SystemC-based performance models of POWER processors and system components (i.e., caches, buses). Power models, for power computation, physical models for floorplanning and packaging models for thermal analysis are also included. The tool allows the user to build different systems by selecting components from a library and connecting them together in a visual environment. Using these models, users can simulate and dynamically analyze the performance, power and thermal aspects of multi-core 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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S.R. Kunkel, R.J. Eickemeyer, M.H. Lipasti, T.J. Mullins, B. O'Krafka, H. Rosenberg, S.P. VanderWiel, P.L. Vitale, and L.D. Whitley, "A performance methodology for commercial servers". IBM Journal of Research & Development, Vol.44, No.6, November, 2000.
 
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Open Access Initiative, www.si2.org.
 
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J. Tendler, J.S. Dodson, J.S. Fields Jr., H. Le, and B. Sinharoy, "POWER4 system microarchitecture". IBM Journal of Research & Development, Vol.46, No.1, January, 2002.
 
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SPEC Standard Performance Evaluation Corporation, www.spec.org.


Collaborative Colleagues:
Reinaldo Bergamaschi: colleagues
Indira Nair: colleagues
Gero Dittmann: colleagues
Hiren Patel: colleagues
Geert Janssen: colleagues
Nagu Dhanwada: colleagues
Alper Buyuktosunoglu: colleagues
Emrah Acar: colleagues
Gi-Joon Nam: colleagues
Dorothy Kucar: colleagues
Pradip Bose: colleagues
John Darringer: colleagues
Guoling Han: colleagues