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Efficient algorithms for a class of partitioning problems
By: Ashraf Iqbal, M.; Bokhari, S.H.;
1995 / IEEE
Description
This item was taken from the IEEE Periodical ' Efficient algorithms for a class of partitioning problems ' We address the problem of optimally partitioning the modules of chain- or tree-like tasks over chain-structured or host-satellite multiple computer systems. This important class of problems includes many signal processing and industrial control applications. Prior research has resulted in a succession of faster exact and approximate algorithms for these problems. We describe polynomial exact and approximate algorithms for this class that are better than any of the previously reported algorithms. Our approach is based on a preprocessing step that condenses the given chain or tree structured task into a monotonic chain or tree. The partitioning of this monotonic task can then be carried out using fast search techniques.<
Related Topics
Problem Solving
Parallel Algorithms
Processor Scheduling
Parallel Processing
Partitioning Problems
Optimally Partitioning
Chain-like Tasks
Tree-like Tasks
Polynomial Exact Algorithms
Polynomial Approximate Algorithms
Monotonic Chain
Monotonic Tree
Assignments
Host-satellite Systems
Load Balancing
Partitioning Algorithms
Signal Processing Algorithms
Polynomials
Concurrent Computing
Parallel Processing
Industrial Control
Application Software
Costs
Signal Processing
Space Technology
Communication, Networking And Broadcast Technologies
Computing And Processing
Engineering
Preprocessing Step