Skip to main content

The Performance of Linear Algebra Algorithms on Intel Parallel Supercomputers

  • Conference paper
  • 71 Accesses

Part of the book series: NATO ASI Series ((NATO ASI F,volume 103))

Abstract

Intel manufactures distributed memory, message passing, parallel supercomputers. This paper discusses the performance of various linear algebra algorithms on such computers.

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

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD   109.99
Price excludes VAT (USA)
  • Durable hardcover 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

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Bailey, D. H., Lee, K., & Simon, H. D., (1990) “Using Strassen’s Algorithm to Accelerate the Solution of Linear Equations”, Journal of Supercomputing 4, pp. 357–371.

    Article  Google Scholar 

  2. i860 64-bit Microprocessor Programmer’s Reference Manual, Intel Corporation, Santa Clara, CA.

    Google Scholar 

  3. iPSC/860 Product Specification, Intel Supercomputer Systems Division, Beaverton OR 97006.

    Google Scholar 

  4. Kushner, E. J., Castro-Leon, E., and Barton, M. L., “The ProSolver-SESTM Library, a Skyline Solver for the iPSC/860”, The Sixth Distributed Memory Computing Conference Proceedings, pp. 379–382, IEEE Computer Society Press, 1991.

    Google Scholar 

  5. Lillevik, S.L.,“The Touchstone 30 Gigaflop DELTA Prototype”, The Sixth Distributed Memory Computing Conference Proceedings, pp. 671–677, IEEE Computer Society Press, 1991.

    Google Scholar 

  6. Moler, C., Stewart, G.W., Dongarra, J.J., and Bunch J., LINPACK Users’ Guide, SIAM Press.

    Google Scholar 

  7. Scott, D. S., Castro-Leon, E., Kushner, E. J., “Solving Very Large Dense Systems of Linear Equations on the iPSC®D/860”, Proceedings of the Fifth Distributed Memory Computing Conference, pp. 286–290, IEEE Computer Society Press, 1990.

    Google Scholar 

  8. Scott, D. S., and Withers, G. R., “Performance and Assembly Language Programming of the iPSC/860 System”, The Sixth Distributed Memory Computing Conference Proceedings, pp. 534–542, IEEE Computer Society Press, 1991.

    Google Scholar 

  9. Strassen, V., “Gaussian Elimination is not Optimal”, Numer. Math. 13 (1969), pp. 354–356.

    Article  MathSciNet  MATH  Google Scholar 

  10. van de Geijn, R. A., “LINPACK Benchmark on the Intel Touchstone GAMMA and DELTA Machines, Preliminary Report, Computer Sciences Department, University of Texas at Austin, June 20, 1991.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 1993 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Scott, D.S. (1993). The Performance of Linear Algebra Algorithms on Intel Parallel Supercomputers. In: Özgüner, F., Erçal, F. (eds) Parallel Computing on Distributed Memory Multiprocessors. NATO ASI Series, vol 103. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-58066-6_7

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-58066-6_7

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-63460-4

  • Online ISBN: 978-3-642-58066-6

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics