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Simulation of a parallel computer; Heiretsu keisanki no kensho mogi

Abstract

A simulation program and an assembler were prepared for a parallel computer with 128{times} 256 operators operating under a numerical simulator at National Aerospace Laboratory. Examples of evaluation on the parallel computer, estimation of its maximum performance, and the case comparing the parallel computer with one processing element one described. The developed assembler operates on FACOM-M780, and converts the starting program into a machine language for the parallel computer. The verifying simulation used a program to derive a maximum value in data in the array data memory elements and a program to analyze flow fields around a two-dimensional cylinder. The former simulation presented that consistency in the command system for mask operation is more important than network improvement. This should be given due considerations when handling a three-dimensional problem with a large number of data in the memory elements. In the latter simulation, such results were obtained that vorticity computation can be expected of performance corresponding to the number of operators, that computing the flow functions achieved the expectation at 60% (performance improvement is possible), and computing surface pressure, resistance and lift resulted in low efficiency (because of data transfer processing time). 17 refs., 28 figs., 8 tabs.
Authors:
Harada, K; Yoshida, M; Nakamura, K [1] 
  1. National Aerospace Laboratory, Tokyo (Japan)
Publication Date:
May 01, 1992
Product Type:
Technical Report
Report Number:
NAL-TR-1154
Reference Number:
SCA: 990200; 420400; PA: NEDO-93:930013; SN: 93000997992
Resource Relation:
Other Information: PBD: May 1992
Subject:
99 GENERAL AND MISCELLANEOUS//MATHEMATICS, COMPUTING, AND INFORMATION SCIENCE; 42 ENGINEERING; COMPUTERS; PARALLEL PROCESSING; PROGRAMMING LANGUAGES; COMPUTER CODES; MEMORY MANAGEMENT; SIMULATORS; VERIFICATION; FLOW MODELS; NUMERICAL ANALYSIS; COMPUTER NETWORKS; VORTICES; DRAG; LEVITATION; DATA TRANSMISSION; 990200; 420400; MATHEMATICS AND COMPUTERS; HEAT TRANSFER AND FLUID FLOW
OSTI ID:
10156068
Research Organizations:
National Aerospace Lab., Chofu, Tokyo (Japan)
Country of Origin:
Japan
Language:
Japanese
Other Identifying Numbers:
Other: ON: DE93793618; TRN: 93:930013
Availability:
OSTI; NTIS; Available from National Aerospace Laboratory, 44-1, Shindaiji Higashicho 7-chome, Chofu-City, Tokyo, Japan
Submitting Site:
NEDO
Size:
36 p.
Announcement Date:
Jul 06, 2005

Citation Formats

Harada, K, Yoshida, M, and Nakamura, K. Simulation of a parallel computer; Heiretsu keisanki no kensho mogi. Japan: N. p., 1992. Web.
Harada, K, Yoshida, M, & Nakamura, K. Simulation of a parallel computer; Heiretsu keisanki no kensho mogi. Japan.
Harada, K, Yoshida, M, and Nakamura, K. 1992. "Simulation of a parallel computer; Heiretsu keisanki no kensho mogi." Japan.
@misc{etde_10156068,
title = {Simulation of a parallel computer; Heiretsu keisanki no kensho mogi}
author = {Harada, K, Yoshida, M, and Nakamura, K}
abstractNote = {A simulation program and an assembler were prepared for a parallel computer with 128{times} 256 operators operating under a numerical simulator at National Aerospace Laboratory. Examples of evaluation on the parallel computer, estimation of its maximum performance, and the case comparing the parallel computer with one processing element one described. The developed assembler operates on FACOM-M780, and converts the starting program into a machine language for the parallel computer. The verifying simulation used a program to derive a maximum value in data in the array data memory elements and a program to analyze flow fields around a two-dimensional cylinder. The former simulation presented that consistency in the command system for mask operation is more important than network improvement. This should be given due considerations when handling a three-dimensional problem with a large number of data in the memory elements. In the latter simulation, such results were obtained that vorticity computation can be expected of performance corresponding to the number of operators, that computing the flow functions achieved the expectation at 60% (performance improvement is possible), and computing surface pressure, resistance and lift resulted in low efficiency (because of data transfer processing time). 17 refs., 28 figs., 8 tabs.}
place = {Japan}
year = {1992}
month = {May}
}