Influence of machine organization on algorithms

Owens, Jason

doi:10.2172/4374119

Cited by 11 publications

(4 citation statements)

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“…Recent advances in Josephson junction and Gaits technology have created expectation that we may see a quantum jump in the performance of serial computers. However, estimates are that these computers will perform about 10 operations per second [4]. This is a factor of 10 improvement over the Cray-1, and as we have already noted, DOE needs at least a factor of 100.…”

Section: Cmentioning

confidence: 90%

DOE research in utilization of high-performance computers

Buzbee¹,

Worlton²,

Michael³

et al. 1980

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Department of Energy (DOE) and other Government research laboratories depend on high-performance computer systems to accomplish their programmatic goals. As the most powerful computer systems become available, they are acquired by these laboratories so that advances can be made in their disciplines. These advances are often the result of added sophistication to numerical models whose execution is made possible by high-performance computer systems. However, high-performance computer systeas have become increasingly complex, and consequently it has become increasingly difficult to realize their potential performance. The result is a need for research on issues related to the utilization of these systems. This report gives a brief description of high-performance computers, and then addresses (1) the use of and future needs for high-performance computers within DOE, (2) the growing complexity of applications within DOE and (3) areas of high-performance computer systems warranting research. Discussed below are specific DOE programs for which high-performance computers are invaluable and for which additional computer capability is needed.

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Section: Cmentioning

confidence: 90%

DOE research in utilization of high-performance computers

Buzbee¹,

Worlton²,

Michael³

et al. 1980

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“…However, estimates are that these computers will perform about 10 operations per second [4]. This is a factor of 10 improvement over the Cray-1, and as we have already noted, DOE needs at least a factor of 100.…”

Section: Cmentioning

confidence: 90%

“…This architecture is impacting algorithms and software [4,5]. In order for an algorithm to achieve high performance on these computers, it must fit the associated architecture [6].…”

Section: Cmentioning

confidence: 99%

Department of Energy research in utilization of high-performance computers

Buzbee¹,

Worlton²,

Michael³

et al. 1980

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“…The larger view of the problem is lost. Considering the significant advantages of vectorization, the message is clear that although codes can be 'vectorized', the big payoffs come from vectorizing algorithms (Brown, 1981a;Owens, 1973;Remund and Taggart, 1977;Smz, 1980;Wirsching and Kishi, 1977).…”

Section: Vectorized Monte Carlo~generalmentioning

confidence: 99%

Monte Carlo methods for radiation transport analysis on vector computers

Brown

Martin

1984

Progress in Nuclear Energy

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The development of advanced computers with special capabilities for vectorized or parallel calculations demands the development of new calculational methods. The very nature of the Monte Carlo process precludes direct conversion of old (scalar) codes to the new machines. Instead, major changes in global algorithms and careful selection of compatible physics treatments are required. Recent results for Monte Carlo in multigroup shielding applications and in continuous-energy reactor lattice analysis have demonstrated that Monte Carlo methods can be successfully vectorized. The significant effort required for stylized coding and major algorithmic changes is worthwhile, and significant gains in computational efficiency are realized. Speedups of at least twenty to forty times faster than CDC-7600 scalar calculations have been achieved on the CYBER-205 without sacrificing the accuracy of standard Monte Carlo methods. Speedups of this magnitude provide reductions in statistical uncertainties for a given amount of computing time, permit more detailed and realistic problems to be analyzed, and make the Monte Carlo method more accessible to nuclear analysts. Following overviews of the Monte Carlo method for particle transport analysis and of vector computer hardware and software characteristics, both general and specific aspects of the vectorization of Monte Carlo are discussed. Finally, numerical results obtained from vectorized Monte Carlo codes run on the CYBER-205 are presented.

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Influence of machine organization on algorithms

Cited by 11 publications

References 0 publications

DOE research in utilization of high-performance computers

DOE research in utilization of high-performance computers

Department of Energy research in utilization of high-performance computers

Monte Carlo methods for radiation transport analysis on vector computers

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