Titlebook: Job Scheduling Strategies for Parallel Processing; IPPS ‘95 Workshop, S Dror G. Feitelson,Larry Rudolph Conference proceedings 1995 Springe

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Gum-Disease

chisel

A scalable multi-discipline, multiple-processor scheduling framework for IRIX,s the standard features and behavior expected of any UNIX time-sharing system, while adding support for four additional disciplines: a fast-response scheme for lowlatency real-time computing, a time-based regime for throughputoriented real-time computing, a multi-thread scheme for parallel computing

FOIL

Scheduling to reduce memory coherence overhead on coarse-grain multiprocessors,ently replicating remote data in the processes‘ local memories. This automatic replication of data can impose substantial memory system overhead on an application since all replicated data must be kept coherent. We examine the effect of task scheduling on data replication and memory system overhead

南極

Immobilize

licence

Multiprocessor scheduling for high-variability service time distributions,n, for the most part, designed and evaluated for workloads having relatively low variability in service demand. But with reports that variability in service demands at high performance computing centers can actually be quite high, these disciplines must be reevaluated. In this paper, we examine the

Cerebrovascular

The interaction between memory allocation and adaptive partitioning in message-passing multicompute the memory requirements of the jobs. In this paper, we first show that these constraints can have a negative impact on the performance of adaptive partitioning policies. We then evaluate the performance of adaptive partitioning in a system where these minimum processor constraints are eased due to

600

Limited

Loop-Level Process Control: An effective processor allocation policy for multiprogrammed shared-memmance of individual applications might be sacrificed due to the high overhead of context switching, due to the processing power wasted by busy-waiting synchronization and locking operations, and due to poor cache memory utilization. In this paper, we propose a simple and effective processor allocati