Abstract
Computations involving Monte Carlo methods are, very often, easily and efficiently parallelized. P-GRADE is a parallel application development environment which provides an integrated set of programming tools for development of general message-passing applications to run in heterogeneous computing environments or supercomputers. In this paper, we show how Monte Carlo algorithms for solving Systems of Linear Equations and Matrix Inversion can easily be parallelized using P-GRADE. © Springer-Verlag Berlin Heidelberg 2004.
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CITATION STYLE
Alexandrov, V. N., Thandavan, A., & Kacsuk, P. (2004). Using P-GRADE for Monte Carlo computations in a distributed environment. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3039, 475–482. https://doi.org/10.1007/978-3-540-25944-2_62
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