Abstract
Data parallel languages are gaining interest as it becomes clear that they support a wider range of computation than previously believed. With improved network technology, it is now feasible to build data parallel supercomputers using traditional RISC-based workstations connected by a high-speed network. This paper presents an in-depth look at the communication behavior of nine C* programs. It also compares the performance of these programs on both a cluster of 8 HP 720 workstations and a 32 node (128 Vector Unit) CM-5. The result is that under some conditions, the cluster is faster on an absolute scale, and that on a relative, per-node scale, the cluster delivers superior performance in all cases.
| Original language | English (US) |
|---|---|
| Pages | 229-238 |
| Number of pages | 10 |
| State | Published - 1994 |
| Event | Proceedings of the Scalable High-Performance Computing Conference - Knoxville, TN, USA Duration: May 23 1994 → May 25 1994 |
Other
| Other | Proceedings of the Scalable High-Performance Computing Conference |
|---|---|
| City | Knoxville, TN, USA |
| Period | 5/23/94 → 5/25/94 |
ASJC Scopus subject areas
- Hardware and Architecture