Task scheduling for parallel sparse Cholesky factorization
โ Scribed by G. A. Geist; E. Ng
- Publisher
- Springer
- Year
- 1989
- Tongue
- English
- Weight
- 932 KB
- Volume
- 18
- Category
- Article
- ISSN
- 1573-7640
No coin nor oath required. For personal study only.
๐ SIMILAR VOLUMES
In this paper, we consider the problem of reducing the communication cost for the parallel factorization of a sparse symmetric positive deยฎnite matrix on a distributed-memory multiprocessor. We deยฎne a parallel communication cost function and show that, with a contrived example, simply minimizing th
A general parallel task scheduling problem is considered. A task can be processed in parallel on one of several alternative subsets of processors. The processing time of the task depends on the subset of processors assigned to the task. We first show the hardness of approximating the problem for bot
In this paper the problem of the efficient implementation of sparse matrix factorization on vector computers is considered. A fine-grain dynamic levelwise scheduling algorithm (DLSA) is proposed. DLSA takes into account the dependences between update operations, thus avoiding the recurrence problem.