Discrete mathematics with computer science applications
Discrete mathematics with computer science applications
A Survey of Some Theoretical Aspects of Multiprocessing
ACM Computing Surveys (CSUR)
Knowledge-Based Approaches for Scheduling Problems: A Survey
IEEE Transactions on Knowledge and Data Engineering
Stochastic models of multiple and time-shared computer operations.
Stochastic models of multiple and time-shared computer operations.
On program restructuring, scheduling, and communication for parallel processor systems
On program restructuring, scheduling, and communication for parallel processor systems
SAC '92 Proceedings of the 1992 ACM/SIGAPP symposium on Applied computing: technological challenges of the 1990's
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Problems in employing several processors to execute a program can be identified as: a) discovering the potential parallelism of execution in different portions of the same program, and b) scheduling of the resulting task system. This research concentrates on the latter problem. More specifically, this research focuses on designing graph-based scheduling algorithms that produce near-optimal schedules using task system graphs. It is possible for the tasks in a task system to be completely disjoint, or to be interdependent. Algorithms suitable for scheduling of dependent and independent tasks are presented and discussed.