A Performance Study on a Single Processing Node of the HITACHI SR8000

Authors:
Seiji Nishimura;Daisuke Takahashi;Takaomi Shigehara;Hiroshi Mizoguchi;Taketoshi Mishima
Affiliations:
-;-;-;-;-
Venue:
NAA '00 Revised Papers from the Second International Conference on Numerical Analysis and Its Applications
Year:
2000

Citing 6
Cited 0

An extended set of FORTRAN basic linear algebra subprograms

ACM Transactions on Mathematical Software (TOMS)
A set of level 3 basic linear algebra subprograms

ACM Transactions on Mathematical Software (TOMS)
Pseudo vector processor based on register-windowed superscalar pipeline

Proceedings of the 1992 ACM/IEEE conference on Supercomputing
CP-PACS: a massively parallel processor at the University of Tsukuba

Parallel Computing - Special Anniversary issue
Basic Linear Algebra Subprograms for Fortran Usage

ACM Transactions on Mathematical Software (TOMS)
Solving Linear Systems on Vector and Shared Memory Computers

Solving Linear Systems on Vector and Shared Memory Computers

Quantified Score

Hi-index	0.00

Visualization

Abstract

We carry out a performance study on a single processing node of the HITACHI SR8000. Each processing node of the SR8000 is a shared memory parallel computer which is composed of eight scalar processors with a pseudo-vector processing facility. In this study, we implement highly optimized codes for basic linear operations including matrix-matrix product, matrix-vector product and vector inner-product. As a practical application of matrix-vector product, we examine the performance of two iterative methods for linear systems: the conjugate gradient (CG) method and the conjugate residual (CR) method.