Downloads provided by UsageCounts
doi: 10.1109/71.80190
Techniques are described for the automatic generation of self-scheduling parallel programs. Both scheduling algorithms and the concurrent components of applications are expressed in a high-level concurrent language. Partitioning and data dependency information are expressed by simple control statements, which may be generated either automatically or manually. A self-scheduling compiler, implemented as a source-to-source transformation, takes application code, control statements, and scheduling routines and generates a new program that can schedule its own execution on a parallel computer. The approach has several advantages compared to previous proposals. It generates programs that are portable over a wide range of parallel computers. There is no need to embed special control structures in application programs. The use of a high-level language to express applications and scheduling algorithms facilitates the development, modification, and reuse of parallel programs. >
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 10 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
| views | 4 | |
| downloads | 8 |

Views provided by UsageCounts
Downloads provided by UsageCounts