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The presented heuristics can be used when the tasks are big and when they can be divided in smaller sub-tasks. The comparison in this paper shows that these ...
Abstract. One of the biggest problems in heterogeneous computing is how tasks should be mapped in these kinds of environments. Because this problem.
Abstract. One of the biggest problems in heterogeneous computing is how tasks should be mapped in these kinds of environments. Because this problem of map-.
A collection of eleven heuristics from the literature has been selected, implemented, and analyzed under one set of common assumptions and provides one even ...
One of the biggest problems in heterogeneous computing is how tasks should be mapped in these kinds of environments. Because this problem of mapping tasks has ...
Dec 27, 2014 · One of the biggest problems in heterogeneous computing is how tasks should be mapped in these kinds of environments.
A heuristic algorithm that maps data-processing tasks onto heterogeneous resources (i.e., processors and links of various capacities) is presented.
Apr 8, 2023 · This paper proposes a new task scheduling algorithm called the edge cover scheduling algorithm (ECSA), which schedules tasks based on the edge cover queue.
A Comparison Study of Static Mapping Heuristics for a Class of. Meta-tasks on Heterogeneous Computing Systems. Tracy D. Braunt, Howard Jay Siegelt, Noah Beck ...
Missing: Apportionment | Show results with:Apportionment
A heuristic algorithm that maps data-processing tasks onto heterogeneous resources (i.e., processors and links of various capacities) is presented.
Missing: Apportionment | Show results with:Apportionment