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14 lines
846 B
Plaintext
14 lines
846 B
Plaintext
Computational stochastic approaches (Monte Carlo methods) based on the random
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sampling are becoming extremely important research tools not only in their
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"traditional" fields such as physics, chemistry or applied mathematics but also
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in social sciences and, recently, in various branches of industry. An indication
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of importance is, for example, the fact that Monte Carlo calculations consume
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about one half of the supercomputer cycles. One of the indispensable and
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important ingredients for reliable and statistically sound calculations is the
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source of pseudo random numbers. The goal of this project is to develop,
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implement and test a scalable package for parallel pseudo random number
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generation which will be easy to use on a variety of architectures, especially
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in large-scale parallel Monte Carlo applications.
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WWW: http://www.sprng.org/
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