Step 2: combination for elimination of the a i,k 's for Therefore the algorithm is the following (the a k,k 's are supposed nonzero
Impact of communications on the complexity of the Parallel Gaussian Elimination
β 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
No coin nor oath required. For personal study only.
β¦ 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.
π SIMILAR VOLUMES
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