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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 ...
A collection of eleven heuristics from the literature has been selected, implemented, and analyzed under one set of common assumptions and provides one even ...
The new apportionment scheduler, based on Hamilton's method, copes well with the existing ones and it outperforms the other schedulers when some conditions are ...
Dec 27, 2014 · One of the biggest problems in heterogeneous computing is how tasks should be mapped in these kinds of environments.
This paper addresses the problem of finding an optimal allocation of tasks comprising a parallel application into processors of a heterogeneous distributed ...
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 ...
Because this problem of mapping tasks has been shown to be NP-complete, it requires heuristic techniques. Therefore, we present new schedulers based on the ...
To make meaningful comparisons among mapping heuristics, a system designer needs to understand the assumptions made by the heuristics for (1) the model used for ...
Missing: Apportionment | Show results with:Apportionment
[PDF] Techniques for mapping tasks to machines in heterogeneous ...
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A heuristic is employed to map tasks onto the ma- chines in an HC system. The assumption that es- timates of expected task execution times on each machine in ...
Missing: Apportionment | Show results with:Apportionment
A heuristic algorithm that maps data-processing tasks onto heterogeneous resources (ie, processors and links of various capacities) is presented.