Skip to main content

An Approach to Assessment of Heterogeneous Parallel Algorithms

  • Conference paper
Parallel Computing Technologies (PaCT 2003)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2763))

Included in the following conference series:

  • 431 Accesses

Abstract

The paper presents an approach to the performance analysis of heterogeneous parallel algorithms. As a typical heterogeneous parallel algorithm is just a modification of some homogeneous one, the idea is to compare the heterogeneous algorithm with its homogeneous prototype, and to assess the heterogeneous modification rather than to analyse the algorithm as an isolated entity. A criterion of optimality of heterogeneous parallel algorithms is suggested. A parallel algorithm of matrix multiplication on heterogeneous clusters is used to demonstrate the proposed approach.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Crandall, P., Quinn, M.: Block Data Decomposition for Data-Parallel Programming on a Heterogeneous Workstation Network. In: Proceedings of the Second International Symposium on High Performance Distributed Computing, Spokane, WA, USA, pp. 42–49 (1993)

    Google Scholar 

  2. Kaddoura, M., Ranka, S., Wang, A.: Array Decomposition for Nonuniform Computational Environments. Journal of Parallel and Distributed Computing 3, 91–105 (1996)

    Article  Google Scholar 

  3. Kalinov, A., Lastovetsky, A.: Heterogeneous Distribution of Computations Solving Linear Algebra Problems on Networks of Heterogeneous Computers. Journal of Parallel and Distributed Computing 61, 520–535 (2001)

    Article  MATH  Google Scholar 

  4. Beaumont, O., Boudet, V., Rastello, F., Robert, Y.: Matrix Multiplication on Heterogeneous Platforms. IEEE Transactions on Parallel and Distributed Systems 12, 1033–1051 (2001)

    Article  Google Scholar 

  5. Fortune, S., Wyllie, J.: Parallelism in Random Access Machines. In: Proceedings of the 10th Annual Symposium on Theory of Computing, San Diego, CA, USA, pp. 114–118 (1978)

    Google Scholar 

  6. Valiant, L.G.: A Bridging Model for Parallel Computation. Communications of the Association for Computing Machinery 33, 103–111 (1990)

    Article  Google Scholar 

  7. Culler, D.E., Karp, R.M., Patterson, D.A., Sahay, A., Schauser, K.E., Santos, E., Subramonian, R., von Eicken, T.: LogP: Towards a Realistic Model of Parallel Computation. In: Proceedings of the 4th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, San Diego, CA, USA (1993)

    Google Scholar 

  8. Lastovetsky, A.: Adaptive parallel computing on heterogeneous networks with mpC. Parallel Computing 28, 1369–1407 (2002)

    Article  MATH  Google Scholar 

  9. Beaumont, O., Carter, L., Ferrante, J., Legrand, A., Robert, Y.: Bandwidth-Centric Allocation of Independent Tasks on Heterogeneous Platforms. In: Proceedings of 16th International Parallel and Distributed Processing Symposium, CD-ROM/Abstracts Proceedings, Fort Lauderdale, FL, USA, IEEE Computer Society Press, Los Alamitos (2002)

    Google Scholar 

  10. Blackford, L., Choi, J., Cleary, A., Demmel, J., Dhillon, I., Dongarra, J., Hammarling, S., Henry, G., Petitet, A., Stanley, K., Walker, D., Whaley, R.: ScaLAPACK: A Portable Linear Algebra Library for Distributed Memory Computers – Design Issues and Performance. In: Proceedings of the 1996 ACM/IEEE Supercomputing Conference, CD-ROM/Abstracts Proceedings, Pittsburgh, PA, USA, IEEE Computer Society Press, Los Alamitos (1996)

    Google Scholar 

  11. High Performance Fortran Language Specification, Version 2.0. High Performance Fortran Forum (1997)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2003 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Lastovetsky, A., Reddy, R. (2003). An Approach to Assessment of Heterogeneous Parallel Algorithms. In: Malyshkin, V.E. (eds) Parallel Computing Technologies. PaCT 2003. Lecture Notes in Computer Science, vol 2763. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-45145-7_10

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-45145-7_10

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-40673-0

  • Online ISBN: 978-3-540-45145-7

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics