1985
DOI: 10.1147/rd.294.0422
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Large-scale scientific application programs in chemistry and physics on an experimental parallel computer system

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Cited by 19 publications
(7 citation statements)
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“…Multiple FPS attached processors can be used in a single job in parallel. [26][27][28] In the parallel computations the actual evaluation of forces is parceled out to several independent APs by passing the information of the coordinates and orientations of the particles to each AP. Each AP is then assigned only a partial number of force evaluations to perform.…”
Section: Parallel Computationsmentioning
confidence: 99%
“…Multiple FPS attached processors can be used in a single job in parallel. [26][27][28] In the parallel computations the actual evaluation of forces is parceled out to several independent APs by passing the information of the coordinates and orientations of the particles to each AP. Each AP is then assigned only a partial number of force evaluations to perform.…”
Section: Parallel Computationsmentioning
confidence: 99%
“…We understood beforehand exactly the nature of the parallelism inherent in the calculations and the large grain parallelism involved. A very simple but operational master-slave virtual machine-(VM) based operating system called VMFACS [13] was in use within 3 months. The possibility of using the two or four engines of the IBM-3081 and IBM-3084 in parallel was also immediately considered; this effort resulted in a very simple but operational MVS-based operating system called PARADIGM [ l l ] which, in late 1983 and early 1984, was used for Monte Carlo as well as for quantum mechanical computations.…”
Section: Architecturementioning
confidence: 99%
“…The system currently in use in our laboratory consists of an IBM host computer (an IBM 4341 at present) and a number of attached processors (six FPS-164's at present). With a theoretical maximum of 12 MFLOPS, the FPS-164 is a rather powerful processor for scientific calculations, but it still falls somewhat short of the computing power required for the calculations reported here, as well as other large-scale calculations being carried out in our laboratory [4,5]. Our answer to this difficulty is an experimental system which allows all of the attached processors (APs) to cooperate on a single computational task, provided that the task in question can be divided into subtasks for the attached processors to perform simultaneously.…”
Section: Program Migration Considerationsmentioning
confidence: 99%
“…The practical implementation of this system requires that the main program (which runs on the host) be able to closely control the subtasks running on the APs, periodically transferring data to them, starting them, and subsequently gathering up each set of subtask output. For such system design considerations, we refer the reader elsewhere [4]. Here we take the system as given, and present what we have learned about migration of our Metropolis-Monte Carlo liquid simulation programs to utilize this system effectively.…”
Section: Program Migration Considerationsmentioning
confidence: 99%
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