The EASY — LoadLeveler API project

Autor:	Honbo Zhou, Joseph F. Skovira, Waiman Chan, David Lifka
Rok vydání:	1996
Předmět:	Job scheduler Rate-monotonic scheduling ComputingMilieux_THECOMPUTINGPROFESSION Computer science Parallel computing computer.software_genre Round-robin scheduling Fair-share scheduling Fixed-priority pre-emptive scheduling Two-level scheduling Operating system IBM computer Massively parallel
Zdroj:	Job Scheduling Strategies for Parallel Processing ISBN: 9783540618645 JSSPP
Popis:	With the increasing use of distributed memory massively parallel machines (MPPs) such as the IBM SP, the need for improved parallel job scheduling tools has sparked many recent developments. IBM's LoadLeveler is being used at the Cornell Theory Center, but problems exist with the current scheduling algorithm applied to the job mix on the 512-node SP. In order to address Cornell's difficulties, Joseph Skovira began to consider enhancements to LoadLeveler. At about the same time, David Lifka, developer of the EASY parallel job scheduler, began working at CTC. With Waiman Chan and Honbo Zhou of IBM LoadLeveler development, we have developed a LoadLeveler API that allows external schedulers like EASY to control the starting and stopping of jobs through LoadLeveler.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::1ec28a3f1e40e8a13e3db3845502fa8d https://doi.org/10.1007/bfb0022286 Zobrazit plný text záznamu