A benchmark package for sparse matrix computations

Youcef Saad, Harry A.G. Wijshoff

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Scopus citations


We examine the problem of evaluating performance of supercomputer architectures on sparse (matrix) computations and lay out the details of a benchmark package for this problem. Whereas there already exists a number of benchmark packages for scientific computations, such as the Livermore Loops, the Linpack benchmark and the Los Alamos benchmark, none of these deals with the specific nature of sparse computations. Sparse matrix techniques are characterized by the relatively small number of operations per data element and the irregularity of the computation. Both facts may significantly increase the overhead time due to memory traffic. For this reason, the performance evaluation of sparse computations should not only take into account the CPU performance but also the degradation of performance caused by high memory traffic. Furthermore, sparse matrix techniques comprise a variety of different types of basic computations. Taking these considerations into account we propose a benchmark package that consists of several independent modules, each of which has a distinct role.

Original languageEnglish (US)
Title of host publicationProceedings of the 2nd International Conference on Supercomputing, ICS 1988
EditorsJ. Lenfant
PublisherAssociation for Computing Machinery
Number of pages10
ISBN (Electronic)0897912721
StatePublished - Jun 1 1988
Externally publishedYes
Event2nd International Conference on Supercomputing, ICS 1988 - St. Malo, France
Duration: Jul 4 1988Jul 8 1988

Publication series

NameProceedings of the International Conference on Supercomputing
VolumePart F130184


Other2nd International Conference on Supercomputing, ICS 1988
CitySt. Malo

Bibliographical note

Publisher Copyright:
© 1988 ACM.


  • Benchmarks
  • Sparse blase
  • Sparse matrix computations


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