CaltechAUTHORS
  A Caltech Library Service

Benchmarking advanced architecture computers

Messina, P. and Felten, E. and Hipes, P. and Williams, R. and Alagar, A. and Kamrath, A. and Leary, R. and Pfeiffer, W. and Rogers, J. and Walker, D. (1990) Benchmarking advanced architecture computers. Concurrency: Practice and Experience, 2 (3). pp. 195-255. ISSN 1040-3108. https://resolver.caltech.edu/CaltechAUTHORS:20180330-132113633

Full text is not posted in this repository. Consult Related URLs below.

Use this Persistent URL to link to this item: https://resolver.caltech.edu/CaltechAUTHORS:20180330-132113633

Abstract

Recently, a number of advanced architecture machines have become commercially available. These new machines promise better cost performance than traditional computers, and some of them have the potential of competing with current supercomputers, such as the CRAY X‐MP, in terms of maximum performance. This paper describes the methodology and results of a pilot study of the performance of a broad range of advanced architecture computers using a number of complete scientific application programs. The computers evaluated include: 1. shared‐memory bus architecture machines such as the Alliant FX/8, the Encore Multimax, and the Sequent Balance and Symmetry 2. shared‐memory network‐connected machines such as the Butterfly 3. distributed‐memory machines such as the NCUBE, Intel and Jet Propulsion Laboratory (JPL)/Caltech hypercubes 4. very long instruction word machines such as the Cydrome Cydra‐5 5. SIMD machines such as the Connection Machine 6. ‘traditional’ supercomputers such as the CRAY X‐MP, CRAY‐2 and SCS‐40. Seven application codes from a number of scientific disciplines have been used in the study, although not all the codes were run on every machine. The methodology and guidelines for establishing a standard set of benchmark programs for advanced architecture computers are discussed. The CRAYs offer the best performance on the benchmark suite; the shared memory multiprocessor machines generally permitted some parallelism, and when coupled with substantial floating point capabilities (as in the Alliant FX/8 and Sequent Symmetry), provided an order of magnitude less speed than the CRAYs. Likewise, the early generation hypercubes studied here generally ran slower than the CRAYs, but permitted substantial parallelism from each of the application codes.


Item Type:Article
Related URLs:
URLURL TypeDescription
https://doi.org/10.1002/cpe.4330020304DOIArticle
https://onlinelibrary.wiley.com/doi/abs/10.1002/cpe.4330020304PublisherArticle
Additional Information:© 1990 John Wiley & Sons, Ltd. Manuscript revised: 05 March 1990; Manuscript received: 01 June 1989. Funding Information: Department of Energy. Grant Number: DE‐FG03‐85ER25009.
Funders:
Funding AgencyGrant Number
Department of Energy (DOE)DE-FG03-85ER25009
Issue or Number:3
Record Number:CaltechAUTHORS:20180330-132113633
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20180330-132113633
Official Citation:Messina, P. , Felten, E. , Hipes, P. , Williams, R. , Alagar, A. , Kamrath, A. , Leary, R. , Pfeiffer, W. , Rogers, J. and Walker, D. (1990), Benchmarking advanced architecture computers. Concurrency: Pract. Exper., 2: 195-255. doi:10.1002/cpe.4330020304
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:85537
Collection:CaltechAUTHORS
Deposited By: Tony Diaz
Deposited On:30 Mar 2018 22:41
Last Modified:03 Oct 2019 19:32

Repository Staff Only: item control page