Compile-time partitioning and scheduling of parallel programs
SIGPLAN '86 Proceedings of the 1986 SIGPLAN symposium on Compiler construction
Scheduling Multiprocessor Tasks to Minimize Schedule Length
IEEE Transactions on Computers
Scheduling Tasks with Resource Requirements in Hard Real-Time Systems
IEEE Transactions on Software Engineering
Scheduling parallel program tasks onto arbitrary target machines
Journal of Parallel and Distributed Computing - Special issue: software tools for parallel programming and visualization
Improved Algorithms for Partitioning Problems in Parallel, Pipelined, and Distributed Computing
IEEE Transactions on Computers
The art of parallel programming
The art of parallel programming
Processor Allocation in Hypercube Multiprocessors
IEEE Transactions on Parallel and Distributed Systems
Advanced Concepts in Operating Systems
Advanced Concepts in Operating Systems
Computer Architecture and Parallel Processing
Computer Architecture and Parallel Processing
A taxonomy of scheduling in general-purpose distributed computing systems
IEEE Transactions on Software Engineering
Optimizing the Time Cost of the Parallel Structures with a Limited Number of Processors
ICCI '93 Proceedings of the Fifth International Conference on Computing and Information
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Finding the optimal accessing order to the critical section within a parallel structure will result in saving time cost of the overall execution time of the parallel program. A parallel computation model is used to represent the detailed time cost of the parallel structure (portion of the program). Most of the previous research considered the parallel structure with one communication node and few of the researches considered a parallel structure with two communication nodes. The extension of these efforts considered a parallel structure with more than one group; one such extension was developed solely for the parallel structure with one communication node. In this paper another extension of the problem is proposed, that is, a parallel structure with two communication nodes. The main objective of this paper is to introduce (a) optimisation of the time cost for such parallel structure; (b) allocation and scheduling techniques for solving the problem associated with parallel structure (number of groups is less than the number of shared memory modules, and/or the number of processors is less than the degree of parallelism).