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Title: Data parallelism

Abstract

Data locality is fundamental to performance on distributed memory parallel architectures. Application programmers know this well and go to great pains to arrange data for optimal performance. Data Parallelism, a model from the Single Instruction Multiple Data (SIMD) architecture, is finding a new home on the Multiple Instruction Multiple Data (MIMD) architectures. This style of programming, distinguished by taking the computation to the data, is what programmers have been doing by hand for a long time. Recent work in this area holds the promise of making the programmer's task easier.

Authors:
Publication Date:
Research Org.:
Lawrence Livermore National Lab., CA (United States)
Sponsoring Org.:
DOE; USDOE, Washington, DC (United States)
OSTI Identifier:
6640647
Alternate Identifier(s):
OSTI ID: 6640647; Legacy ID: DE93009300
Report Number(s):
UCRL-JC-111827; CONF-930117--6
ON: DE93009300
DOE Contract Number:
W-7405-ENG-48
Resource Type:
Conference
Resource Relation:
Conference: 26. Hawaiian international conference on system science: biotechnology computing track, Kauai, HI (United States), 5-8 Jan 1993
Country of Publication:
United States
Language:
English
Subject:
99 GENERAL AND MISCELLANEOUS//MATHEMATICS, COMPUTING, AND INFORMATION SCIENCE; ARRAY PROCESSORS; MEMORY MANAGEMENT; DISTRIBUTED DATA PROCESSING; PARALLEL PROCESSING; PERFORMANCE; DATA PROCESSING; PROCESSING; PROGRAMMING 990200* -- Mathematics & Computers

Citation Formats

Gorda, B.C. Data parallelism. United States: N. p., 1992. Web.
Gorda, B.C. Data parallelism. United States.
Gorda, B.C. Tue . "Data parallelism". United States. doi:.
@article{osti_6640647,
title = {Data parallelism},
author = {Gorda, B.C.},
abstractNote = {Data locality is fundamental to performance on distributed memory parallel architectures. Application programmers know this well and go to great pains to arrange data for optimal performance. Data Parallelism, a model from the Single Instruction Multiple Data (SIMD) architecture, is finding a new home on the Multiple Instruction Multiple Data (MIMD) architectures. This style of programming, distinguished by taking the computation to the data, is what programmers have been doing by hand for a long time. Recent work in this area holds the promise of making the programmer's task easier.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Tue Sep 01 00:00:00 EDT 1992},
month = {Tue Sep 01 00:00:00 EDT 1992}
}

Conference:
Other availability
Please see Document Availability for additional information on obtaining the full-text document. Library patrons may search WorldCat to identify libraries that hold this conference proceeding.

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