๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

The specification of data parallel algorithms

โœ Scribed by Michael D. Rice; Stephen B. Seidman; Pearl Y. Wang


Publisher
Elsevier Science
Year
1990
Tongue
English
Weight
208 KB
Volume
8
Category
Article
ISSN
0743-7315

No coin nor oath required. For personal study only.

โœฆ Synopsis


Several algorithms that illustrate fundamental data parallel operations and the implementation of virtual topologies in terms of hypercuhe operations are given. A geometric induction principle is developed and used for proving the correctness of these algorithms. The algorithms show how an elementary SIMD language can he used to formally specify and verify data parallel algorithms. o 1990Academic PUSS, IX.


๐Ÿ“œ SIMILAR VOLUMES


Data parallel evaluation of univariate p
โœ R.E. Overill; S. Wilson ๐Ÿ“‚ Article ๐Ÿ“… 1997 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 797 KB

The performance of the Knuth-Eve algorithm for data parallel evaluation of univariate polynomials of degree 8, 16 and 32 has been systematically compared with that of the classical Newton-Homer algorithm using three vector processors and three processor arrays. Significant performance improvements h

Parallel algorithms for querying data on
โœ D.J. Potter ๐Ÿ“‚ Article ๐Ÿ“… 1988 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 621 KB

This paper describes some parallel processing algorithms for the analysis of twodimensional electrophoresis images. One of the largest processor arrays in the world. CLIP4, at University College London, was used in the research. The paper concentrates on algorithms using CLIP4 for querying the data

A parallel distributed data CPHF algorit
โœ Yuri Alexeev; Michael W. Schmidt; Theresa L. Windus; Mark S. Gordon ๐Ÿ“‚ Article ๐Ÿ“… 2007 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 185 KB

## Abstract One of the most commonly used means to characterize potential energy surfaces of reactions and chemical systems is the Hessian calculation, whose analytic evaluation is computationally and memory demanding. A new scalable distributed data analytic Hessian algorithm is presented. Feature