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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Performance Enhancement in Multiprocessing Systems

Performance Enhancement in Multiprocessing Systems

Amalarethinam, George
Josphin, Maria

Paperback

Probability & Statistics

ISBN10: 6208847478
ISBN13: 9786208847470
Publisher: Scholars' Press
Published: May 27 2025
Pages: 124
Weight: 0.39
Height: 0.29 Width: 6.00 Depth: 9.00
Language: English
Parallel processing is an efficient form of information processing that emphasizes the concurrent manipulation of data elements belonging to one or more processes solving a single problem. It makes a tremendous impact on many areas of computer applications like computational simulations for scientific and engineering applications, commercial applications in data mining, transaction processing etc. It is one of the approaches known today, to make computation feasible. Heterogeneous systems create unlimited opportunities and challenges in the fields of parallel processing, design of algorithms, and partitioning and mapping of parallel tasks. In mapping of parallel tasks, scheduling plays an important role. In this book, three algorithms Task oriented Dynamic Scheduling Algorithm (TDSA), Dynamic Task Duplication based Scheduling Algorithm (DyDupSA) and Dynamic Ant Colony Optimization (DyACO) are proposed. TDSA algorithm use the concept of migration, DyDupSA applies duplication and migration and DyACO meta heuristic to minimize the makespan and to maximize the processor utilization. Among the proposed algorithms, DyACO algorithm outperforms the other algorithms.

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