Clusters of workstations are increasingly being viewed as a cost-e ective alternative to parallel supercomputers. However, resource management and scheduling on workstations clust...
Abdur Chowdhury, Lisa D. Nicklas, Sanjeev Setia, E...
Abstract. Exploiting the full computational power of current hierarchical multiprocessor machines requires a very careful distribution of threads and data among the underlying non-...
Using multi-GPU systems, including GPU clusters, is gaining popularity in scientific computing. However, when using multiple GPUs concurrently, the conventional data parallel GPU...
The performance of many scientific applications for distributed memory platforms can be increased by utilizing multiprocessor-task programming. To obtain the minimum parallel runt...
Chip multiprocessors (CMPs) are now commonplace, and the number of cores on a CMP is likely to grow steadily. However, in order to harness the additional compute resources of a CM...
Sanjeev Kumar, Christopher J. Hughes, Anthony D. N...