Scheduling from the perspective of the application
- Univ. of California, San Diego, La Jolla, CA (United States)
Metacomputing is the aggregation of distributed and high-performance resources on coordinated networks. With careful scheduling, resource-intensive applications can be implemented efficiently on metacomputing systems at the sizes of interest to developers and users. In this paper we focus on the problem of scheduling applications on metacomputing systems. We introduce the concept of application-centric scheduling in which everything about the system is evaluated in terms of its impact on the application. Application-centric scheduling is used by virtually all metacomputer programmers to achieve performance on metacomputing systems. We describe two successful metacomputing applications to illustrate this approach, and describe AppLeS scheduling agents which generalize the application-centric scheduling approach. Finally, we show preliminary results which compare AppLeS-derived schedules with conventional strip and blocked schedules for a two-dimensional Jacobi code.
- OSTI ID:
- 421351
- Report Number(s):
- CONF-960835-; CNN: Contract ASC 93-01788; Contract ASC 93-08900; TRN: 96:006403-0013
- Resource Relation:
- Conference: 5. IEEE international symposium on high-performance distributed computing, Syracuse, NY (United States), 6-9 Aug 1996; Other Information: PBD: 1996; Related Information: Is Part Of Proceedings of the fifth IEEE international symposium on high performance distributed computing; PB: 664 p.
- Country of Publication:
- United States
- Language:
- English
Similar Records
DRAS: Deep Reinforcement Learning for Cluster Scheduling in High Performance Computing
Review of Enabling Technologies to Facilitate Secure Compute Customization