Tuning Task Granularity and Data Locality of Data Parallel GpH Programs (2001)
by
Hans-wolfgang Loidl
,
Philip W. Trinder
,
Carsten Butz
| Citations: | 7 - 3 self |
BibTeX
@MISC{Loidl01tuningtask,
author = {Hans-wolfgang Loidl and Philip W. Trinder and Carsten Butz},
title = {Tuning Task Granularity and Data Locality of Data Parallel GpH Programs},
year = {2001}
}
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Abstract
The performance of data parallel programs often hinges on two key coordination aspects: the computational costs of the parallel tasks relative to their management overhead | task granularity ; and the communication costs induced by the distance between tasks and their data | data locality . In data parallel programs both granularity and locality can be improved by clustering, i.e. arranging for parallel tasks to operate on related sub-collections of data.
