The GPU-ArraySort has been designed to minimize the on device memory usage so that large number of arrays can be dealt in one go. In order to keep the usage of memory to a minimum we apply in-place processing at each step.
Our algorithm performs in-place operations and makes minimum use of any temporary run-time memory. Our results indicate that we can sort up to 2 million arrays ...
GPU-ArraySort 2.0 License information can be found in the source code file. this algorithm is able to sort large number of variable-sized arrays on a GPU.
Our algorithm performs in-place operations and makes minimum use of any temporary run-time memory. Our results indicate that we can sort up to 2 million arrays ...
GPU-ArraySort: A parallel, in-place algorithm for sorting large number of arrays. Muaaz Gul Awan. Department of Electrical and Computer Engineering. Western ...
this algorithm is able to sort large number of same-sized arrays on a GPU. ... "GPU-ArraySort: A parallel, in-place algorithm for sorting large number of arrays.
ScholarWorks at WMU GPU-ArraySort: A parallel, in-place algorithm for sorting large number of arrays GPU-ArraySort: A parallel, in-place algorithm for sorting ...
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GPU-ArraySort: A parallel, in-place algorithm for sorting large number of arrays. Author. Awan Muaaz · Saeed Fahad. Publication venue: ScholarWorks at WMU.
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Dec 5, 2020 · The answer depends on whether you regard the number of processor's as a relevant parameter of your complexity analysis.
Missing: ArraySort: Large