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Impact of communications on the complexity of the Parallel Gaussian Elimination

✍ Scribed by E. Bampis; J.C. Konig; D. Trystram


Publisher
Elsevier Science
Year
1991
Tongue
English
Weight
275 KB
Volume
17
Category
Article
ISSN
0167-8191

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✦ Synopsis


This paper presents an extension to the complexity analysis of parallel algorithms on MIMD computers with a shared-memory system which takes into account communications. This analysis shows that the well-known asymptotically optimal results are insufficient because we show that the overhead is in O(n3). The optimal parallel time with O(n) processors is only O(n2). The new scheduling algorithm that we have proposed in this paper reduces the overhead to only O(n z) with the same parallel time.


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Let k, n Β₯ N and f: {0, 1} n Γ— {0, 1} n Q {0, 1}. Assume Alice has x 1 , ..., x k Β₯ {0, 1} n , Bob has y 1 , ..., y k Β₯ {0, 1} n , and they want to compute municating as few bits as possible. The direct sum conjecture (henceforth DSC) n (log log(n))(log(n)) ) bits. This establishes a weak randomize