World Scientific
  • Search
Skip main navigation

Cookies Notification

We use cookies on this site to enhance your user experience. By continuing to browse the site, you consent to the use of our cookies. Learn More
×
Our website is made possible by displaying certain online content using javascript.
In order to view the full content, please disable your ad blocker or whitelist our website www.worldscientific.com.

System Upgrade on Tue, Oct 25th, 2022 at 2am (EDT)

Existing users will be able to log into the site and access content. However, E-commerce and registration of new users may not be available for up to 12 hours.
For online purchase, please visit us again. Contact us at [email protected] for any enquiries.

ADVANCES IN MODELLING AND SIMULATION OF LARGE PARALLEL/DISTRIBUTED SYSTEMS

    Many systems being designed today are extremely large and are being used to solve huge computational problems. The new system architectures being proposed are huge distributed and parallel systems with thousands of processors distributed widely over space and executing large applications. These new systems are used to solve the Grand Challenge problems. Significant emphasis has been placed on the evaluation of the performance of these systems. This paper surveys recent performance evaluation tools that have been developed to evaluate the performance of such parallel and distributed systems. A new methodology of performance evaluation using hardware description languages is proposed and its advantages over the existing approaches are discussed.

    References

    • Thomas   Sterling , Paul   Messina and Paul H.   Smith , Enabling Technologies for Petaflops Computing ( MIT Press ) . Google Scholar
    • Lei Hu and Ian Gorton, Performance Evaluation for Parallel Systems: A Survey, Technical report, UNSW-CSE-TR-9707, (October 1997) . Google Scholar
    • Shubhendu S.   Mukharjee et al. , Wisconsin Wind Tunnel II: A Fast and Portable Parallel Archietcture Simulator , Workshop on Performance Analysis and Its Impact on Design (PAID) ( ) ( 1997 ) . Google Scholar
    • Vikram S. Adveet al., IEEE Transactions on software Engineering  (2000). Google Scholar
    • A.   Alexandrov et al. , LogGP: Incorporating Long Messages into the LogP Model , Proc. 7th Annual ACM Symposium on Parallel Algorithms and Architectures ( 1995 ) . Google Scholar
    • Doug Burger and Todd M. Austin, The Simplescalar Tool set, Version 2.0, University of Wisconsin-Madison Computer Sciences Department Technical Report No. 1342, (June 1997) . Google Scholar
    • D. J. Kerbysonet al., European Parallel Tools Meeting  (1996). Google Scholar
    • E.   Papaefstathiou et al. , An Overview of the CHIP3S Performance Prediction Toolset for Parallel Systems , Proceedings 8th ISCA International Conference on Parallel and Distributed Computing Systems ( 1995 ) . Google Scholar
    • Yohong   Wen and Geoffery C.   Fox , A performance Estimator for Parallel Hierarchical Memory Systems-Petasim , ISCA 12th International Conference on Parallel and Distributed Systems ( ) ( 1999 ) . Google Scholar
    • R. Bagrodiaet al., IEEE Computer 31, (1998). Google Scholar
    • R. L.   Ribler et al. , Autopilot: Adaptive Control of Distributed Applications , Proceedings of the 7th IEEE Symposium on High-Performance Distributed Computing, Chicago, IL ( 1998 ) . Google Scholar
    • L.   DeRose and D.   Reed , SvPablo: A Multi-Language Architecture-Independent Performance Analysis System , Proceedings of the International Conference on Parallel Processing, Fukushima, Japan ( 1999 ) . Google Scholar
    • J. V. Huber Jr.et al., PPFS: A High Performance Portable Parallel File System, Proceedings of the International Conference on Supercomputing, Vol. 99 (1995) pp. 385–394. Google Scholar
    • D. A.   Reed et al. , Delphi: An Integrated Language-Directed Performance Prediction, Measurement, and Analysis Environment , Frontiers '99: The 7th Symposium on the Frontiers of Massively Parallel Computation ( ) ( 1999 ) . Google Scholar
    • "A'la carte", Los Alamos National Laboratory, LA-UR-01-5735/LA-LP-01-243 . Google Scholar
    • J. Liu and D. M. Nicol, DaSSF 3.1 User's Manual, (April 2001) . Google Scholar
    • M. Rosenblumet al., IEEE Parallel and Distributed Technology  (1995). Google Scholar
    • V. S. Pai, P. Ranganath, and S. V. Adve, RSIM Reference Manual. Version 1.0, In Department of Electrical and Computer Engineering, Rice University, Technical Report 9705, July 1997 . Google Scholar
    • Fran   Berman et al. , Application-level scheduling on distributed heterogeneous networks , Proceedings of the 1996 ACM/IEEE conference on Supercomputing ( 1996 ) . Google Scholar
    • R.   Bagrodia et al. , Performance Prediction of Large parallel Applications Using Parallel Simulation , ACM SIGPLAN Symposium on principles and Practices of Parallel Programming ( ) ( 1999 ) . Google Scholar
    • Moshe Meyassedet al., RASSP Digest 3, (1996). Google Scholar
    • David E.   Culler , Jaswinder   Pal Singh and Anoop   Gupta , Parallel computer architecture: a hardware/software approach , 1st edn. ( MKP publishers Inc. , San Fransisco, CA , 1999 ) . Google Scholar
    • MacDonald R. A., Hybrid Modeling of Systems with Interpreted Combinational Elements, Phd. Dissertation, Department of Electrical Engineering, University of Virginia, (May 1995) . Google Scholar
    • J. R.   Dixon , Computer-Based Models of Design Process: The Evolution of Designs for Redesign , Proceedings of NSF Engineering Design Research Conference, Armhest ( 1989 ) . Google Scholar
    • J. C. Helton, R. L. Iman and J. E. Campbell, Journal of Quality Technology 13(3), (1981). Google Scholar
    • Meyassed Moshe, System Level design: Hybrid Modeling with Sequential Interpreted Elements, Phd. Dissertation, Department of electrical Engineering, University of Virginia, (January 1997) . Google Scholar