Titlebook: Job Scheduling Strategies for Parallel Processing; 7th International Wo Dror G. Feitelson,Larry Rudolph Conference proceedings 2001 Springe

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An Efficient and Scalable Coscheduling Technique for Large Symmetric Multiprocessor Clusters,e, gang scheduling, has limitations such as poor scalability and vulnerability to faults mainly due to explicit synchronization between its components. A decentralized approach called dynamic coscheduling (DCS) has been shown to be effective for network of workstations (NOW), but this technique may

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Coscheduling under Memory Constraints in a NOW Environment,eterogeneous and non-dedicated. These two unique factors make scheduling policies on multiprocessor/multicomputer systems unsuitable for NOWs. However, the coscheduling principle is still an important basis for parallel process scheduling in these environments. We propose a new coscheduling algorith

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Effects of Memory Performance on Parallel Job Scheduling,el of memory. Rather than assuming each job or process has a fixed, static memory requirement, we consider a generalscenario wherein a process’ performance monotonically increases as a function of allocated memory, as defined by a miss-rate versus memory size curve. Given a schedule of jobs in a sha

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Characteristics of a Large Shared Memory Production Workload,erarrival time, requested number of processors, requested memory, requested runtime, actual runtime as a fraction of requested runtime, and the ratio of memory usage to memory request. Conditional distributions are defined as needed for generating a synthetic workload with the same characteristics,

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