## Abstract A parallel Fock matrix construction program for FMO‐MO method has been developed with the distributed shared memory model. To construct a large‐sized Fock matrix during FMO‐MO calculations, a distributed parallel algorithm was designed to make full use of local memory to reduce communic
Parallel ‘go with the winners’ algorithms in distributed memory models
✍ Scribed by Marcus Peinado; Thomas Lengauer
- Publisher
- Elsevier Science
- Year
- 2003
- Tongue
- English
- Weight
- 290 KB
- Volume
- 63
- Category
- Article
- ISSN
- 0743-7315
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✦ Synopsis
We parallelize the 'go with the winners' algorithm of Aldous and Vazirani (in: Proceedings of the 35th IEEE Symposium on the Foundations of Computer Science, IEEE Computer Society Press, Silver Spring., MD, 1994, pp. 492-501) and analyze the resulting parallel algorithm in the LogP-model (in: Proceedings of the Fourth ACM SIGPLAN Symposium on Principles & Practice of Parallel Programming, 1993, pp. 1-12). The main issues in the analysis are load imbalances and communication delays. The result of the analysis is a practical algorithm which, under reasonable assumptions, achieves linear speedup. Finally, we analyze our algorithm for a concrete application: generating models of amorphous chemical structures.
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