Exploiting fine-grain parallelism on dataflow architectures
โ Scribed by Guang R Gao
- Book ID
- 103595479
- Publisher
- Elsevier Science
- Year
- 1990
- Tongue
- English
- Weight
- 981 KB
- Volume
- 13
- Category
- Article
- ISSN
- 0167-8191
No coin nor oath required. For personal study only.
๐ SIMILAR VOLUMES
Automatic scheduling for directed acyclic graphs (DAG) and its applications for coarse-grained irregular problems such as large n-body simulation have been studied in the literature. However, solving irregular problems with mixed granularities such as sparse matrix factorization is challenging since
A coarse-grain parallel program typically has one thread (task) per processor, whereas a finegrain program has one thread for each independent unit of work. Although there are several advantages to fine-grain parallelism, conventional wisdom is that coarse-grain parallelism is more efficient. This p