Data parallelism

Conference · Tue Sep 01 00:00:00 EDT 1992

OSTI ID:10141735

Gorda, B C

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.

• Research Organization: Lawrence Livermore National Lab., CA (United States)
• Sponsoring Organization: USDOE, Washington, DC (United States)
• DOE Contract Number: W-7405-ENG-48
• OSTI ID: 10141735
• Report Number(s): UCRL-JC-111827; CONF-930117-6; ON: DE93009300
• Resource Relation: Conference: 26. Hawaiian international conference on system science: biotechnology computing track,Kauai, HI (United States),5-8 Jan 1993; Other Information: PBD: Sep 1992
• Country of Publication: United States
• Language: English

Related Subjects

99 GENERAL AND MISCELLANEOUS//MATHEMATICS, COMPUTING, AND INFORMATION SCIENCE
ARRAY PROCESSORS
MEMORY MANAGEMENT
PARALLEL PROCESSING
PERFORMANCE
DISTRIBUTED DATA PROCESSING
990200
MATHEMATICS AND COMPUTERS