Titlebook: Job Scheduling Strategies for Parallel Processing; IPPS ‘96 Workshop, H Dror G. Feitelson,Larry Rudolph Conference proceedings 1996 Springe

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間諜活動(dòng)

Workload evolution on the Cornell Theory Center IBM SP2,n June of that year. An analysis of the workload shows that it has not only grown, but that its characteristics have changed over time. In particular, job duration increased with time, indicative of an expanding production workload. In addition, there was increasing use of parallelism..As the load h

表主動(dòng)

,The EASY — LoadLeveler API project,ls 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 Load

永久

成績(jī)上升

Architecture-independent request-scheduling with tight waiting-time estimations,ve HPC-applications can be observed. When considering partitionable MPP-systems with exclusive usage of the physically separated regions, issues like the average waiting-time become more dominant for the users than the total system-throughput..In this paper, we focus on the problem of scheduling an

熟練

Spina-Bifida

A gang scheduling design for multiprogrammed parallel computing environments,ll system throughput and short response times for interactive tasks. We recently participated in the design and implementation of a flexible gang scheduling scheme on an IBM SP2 parallel system and a cluster of IBM RS/6000 workstations. In this paper, we present our gang scheduling system and some r

Noisome

不知疲倦

Managing checkpoints for parallel programs, of resources to jobs, but instead can stop running jobs, and reallocate resources with out sacrificing any completed computations. Checkpointing techniques are not new, but they have not been widely available on parallel platforms. We have implemented CoCheck, a system for checkpointing message pas

出汗

Using runtime measured workload characteristics in parallel processor scheduling,f application characteristics in this domain, most of this work has assumed that such information is available .. In contrast, we propose and evaluate experimentally dynamic processor allocation policies that rely on determining job characteristics at runtime; in particular, we focus on measuring an