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Table of Contents

Theory and practice in parallel job scheduling.- Using queue time predictions for processor allocation.- A historical application profiler for use by parallel schedulers.- Memory usage in the LANL CM-5 workload.- Modeling of workload in MPPs.- PScheD Political scheduling on the CRAY T3E.- An experimental evaluation of processor pool-based scheduling for shared-memory NUMA multiprocessors.- Implementing multiprocessor scheduling disciplines.- Objective-oriented algorithm for job scheduling in parallel heterogeneous systems.- Implications of I/O for gang scheduled workloads.- Improved utilization and responsiveness with gang scheduling.- Global state detection using network preemption.- Performance evaluation of gang scheduling for parallel and distributed multiprogramming.