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Distributed Data Partitioning for Heterogeneous Processors Based on Partial Estimation of Their Functional Performance Models
[chapter]
2010
Lecture Notes in Computer Science
The paper presents a new data partitioning algorithm for parallel computing on heterogeneous processors. Like traditional functional partitioning algorithms, the algorithm assumes that the speed of the processors is characterized by speed functions rather than speed constants. Unlike the traditional algorithms, it does not assume the speed functions to be given. Instead, it uses a computational kernel to estimate the speed functions of the processors for different problem sizes during its
doi:10.1007/978-3-642-14122-5_13
fatcat:yxjqszm4dzg2dlseztslzcbf3u