Job Scheduling Strategies for Parallel Processing

Parallel job scheduling: Issues and approaches.- Scheduling on the Tera MTA.- A scalable multi-discipline, multiple-processor scheduling framework for IRIX.- Scheduling to reduce memory coherence overhead on coarse-grain multiprocessors.- Time Space Sharing Scheduling and architectural support.- Demand-based coscheduling of parallel jobs on multiprogrammed multiprocessors.- Multiprocessor scheduling for high-variability service time distributions.- The interaction between memory allocation and adaptive partitioning in message-passing multicomputers.- Analysis of non-work-conserving processor partitioning policies.- Loop-Level Process Control: An effective processor allocation policy for multiprogrammed shared-memory multiprocessors.- A microeconomic scheduler for parallel computers.- On the benefits and limitations of dynamic partitioning in parallel computer systems.- Intelligent fuzzy control to augment scheduling capabilities of network queuing systems.- Parallel processing on dynamic resources with CARMI.- Job scheduling under the Portable Batch System.- The ANL/IBM SP scheduling system.- Requirements of the Cornell Theory Center for resource management and process scheduling.- Job management requirements for nas parallel systems and clusters.- Job characteristics of a production parallel scientific workload on the NASA Ames iPSC/860.