Data parallel algorithms

descriptionPublicationkeyboard_double_arrow_right Article 01 Dec 1986 English Publisher:Association for Computing Machinery (ACM)Journal:Communications of the ACM, volume 29, pages 1,170-1,183 (issn: 0001-0782, eissn: 1557-7317,

Copyright policy )

Authors: W. Daniel Hillis; Guy L. Steele Jr.;

doi: 10.1145/7902.7903

Data parallel algorithms

- Summary
- Metrics

Abstract

Parallel computers with tens of thousands of processors are typically programmed in a data parallel style, as opposed to the control parallel style used in multiprocessing. The success of data parallel algorithms—even on problems that at first glance seem inherently serial—suggests that this style of programming has much wider applicability than was previously thought.

Impact byBIP!

	selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	572
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Top 1%
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Top 0.1%
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Top 1%