Predicting the performance of parallel programs
✍ Scribed by V Blanco; J.A González; C León; C Rodrı́guez; G Rodrı́guez; M Printista
- Publisher
- Elsevier Science
- Year
- 2004
- Tongue
- English
- Weight
- 326 KB
- Volume
- 30
- Category
- Article
- ISSN
- 0167-8191
No coin nor oath required. For personal study only.
📜 SIMILAR VOLUMES
This paper reports on the memory performance of parallel scienti®c algorithms, written in both pure and impure functional styles. The Id programming language is used, since it allows both pure and impure parallel functional programs to be expressed. The non-strict storage model of Id is introduced.
In dynamic, stochastic manufacturing systems, production planners and manufacturing engineers can benefit from understanding how rescheduling strategies affect system performance. This knowledge will help these experts design and operate better manufacturing planning and control systems. This paper