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• W2005123733 abstract "A fundamental issue affecting the performance of a parallel application running on a heterogeneous computing system is the assignment of tasks to the processors in the system. The task assignment problem for more than three processors is known to be NP-hard, and therefore satisfactory suboptimal solutions obtainable in an acceptable amount of time are generally sought. This paper proposes a simple and effective iterative greedy algorithm to deal with the problem with goal of minimizing the total sum of execution and communication costs. The main idea in this algorithm is to improve the quality of the assignment in an iterative manner using results from previous iterations. The algorithm first uses a constructive heuristic to find an initial assignment and iteratively improves it in a greedy way. Through simulations over a wide range of parameters, we have demonstrated the effectiveness of our algorithm by comparing it with recent competing task assignment algorithms in the literature." @default.
• W2005123733 created "2016-06-24" @default.
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• W2005123733 creator A5034277211 @default.
• W2005123733 creator A5054343794 @default.
• W2005123733 date "2011-06-01" @default.
• W2005123733 modified "2023-10-02" @default.
• W2005123733 title "Task assignment in heterogeneous computing systems using an effective iterated greedy algorithm" @default.
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• W2005123733 doi "https://doi.org/10.1016/j.jss.2011.01.051" @default.
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