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

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A microeconomic scheduler for parallel computers,ncreasing the system throughput and reducing the response time, we consider . in allocating system resources among the ., and provide the user with . over the relative performances of his jobs. Every user has a . in which he receives money at a constant rate. To run a job, the user creates an . for

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On the benefits and limitations of dynamic partitioning in parallel computer systems,ral model of dynamic partitioning that can be fitted to measurement data to obtain a sufficiently accurate quantitative analysis of real parallel systems executing real scientific and/or commercial workloads. An exact solution of the model is obtained by employing matrix-geometric techniques. We the

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Job scheduling under the Portable Batch System,ected. Within each queue, jobs are typically selected in first-in, first-out (FIFO) order. This limits the set of scheduling policies available to a site..The Portable Batch System (PBS) removes this limitation by providing an external scheduling module. This separate program has full knowledge of t

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Job management requirements for nas parallel systems and clusters,d efficiently. Job management systems that were originally designed for traditional vector supercomputers are not appropriate for the distributed-memory parallel supercomputers that are becoming increasingly important in the high performance computing industry. Newer job management systems offer new

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ation lies in a life-cycle approach to product development and manufacture. The cost considerations must begin upon initiation of the system design process and continue through the development process. One cost control method which is recieving increasing emphasis is Producibility Engineering. Produ