1997•Journal of Computational ChemistryRequires access

Parallel MP2-energy evaluation: Simulated shared memory approach on distributed memory parallel machines

Ajay C. Limaye

Open publisher page 6 citations

Abstract

A parallel algorithm for four-index transformation and MP2 energy evaluation, for distributed memory parallel (MIMD) machines is presented. The underlying serial algorithm for the present parallel effort is the four-index transform. The scheme works through parallelization over AO integrals and, therefore, spreads the O(n3) memory requirement across the processors, reducing it to O(n2). In this sense, the scheme superimposes a shared memory architecture onto the distributed memory setup. A detailed analysis of the algorithm is presented for networks with 4, 6, 8, 10, and 12 processors employing a smaller test case of 86 contractions. Model direct MP2 calculations for systems of sizes ranging from 160 to 238 basis functions are reported for 11- and 22-processor networks. A gain of at least 40% and above is observed for the larger systems. © 1997 by John Wiley & Sons, Inc.

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What this paper is about

A parallel algorithm for four-index transformation and MP2 energy evaluation, for distributed memory parallel (MIMD) machines is presented. The underlying serial algorithm for the present parallel effort is the four-index transform. The scheme works through parallelization over AO integrals and, therefore, spreads the O(n3) memory requirement across the processors, reducing it to O(n2). In this sense, the scheme superimposes a shared memory architecture onto the distributed memory setup. A detailed analysis of the algorithm is presented for networks with 4, 6, 8, 10, and 12 processors employing a smaller test case of 86 contractions. Model direct MP2 calculations for systems of sizes ranging from 160 to 238 basis functions are reported for 11- and 22-processor networks. A gain of at least 40% and above is observed for the larger systems. © 1997 by John Wiley & Sons, Inc.

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Available abstract

A parallel algorithm for four-index transformation and MP2 energy evaluation, for distributed memory parallel (MIMD) machines is presented. The underlying serial algorithm for the present parallel effort is the four-index transform. The scheme works through parallelization over AO integrals and, therefore, spreads the O(n3) memory requirement across the processors, reducing it to O(n2). In this sense, the scheme superimposes a shared memory architecture onto the distributed memory setup. A detailed analysis of the algorithm is presented for networks with 4, 6, 8, 10, and 12 processors employing a smaller test case of 86 contractions. Model direct MP2 calculations for systems of sizes ranging from 160 to 238 basis functions are reported for 11- and 22-processor networks. A gain of at least 40% and above is observed for the larger systems. © 1997 by John Wiley & Sons, Inc.

Key concepts: MIMD, Computer science, Parallel computing, Distributed memory, Shared memory, Scheme (mathematics), Distributed shared memory, Transformation (genetics)

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