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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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Parallel Fock matrix construction with d
✍ Hiroaki Umeda; Yuichi Inadomi; Toshio Watanabe; Toru Yagi; Takayoshi Ishimoto; T 📂 Article 📅 2010 🏛 John Wiley and Sons 🌐 English ⚖ 706 KB

## 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