Load sharing in the training set partition algorithm for parallel neural learning
B Girau, H Paugam-Moisy - Proceedings of 9th International …, 1995 - ieeexplore.ieee.org
B Girau, H Paugam-Moisy
Proceedings of 9th International Parallel Processing Symposium, 1995•ieeexplore.ieee.orgA parallel back-propagation algorithm that partitions the training set on a ring of processors
has been introduced. In this paper, we study the performance of this algorithm on MIMD
machines and develop a new version, based on a heterogeneous load sharing. Algebraic
models allow precise comparisons between the different methods, and show great
improvements in case of parallel learning.<>
has been introduced. In this paper, we study the performance of this algorithm on MIMD
machines and develop a new version, based on a heterogeneous load sharing. Algebraic
models allow precise comparisons between the different methods, and show great
improvements in case of parallel learning.<>
A parallel back-propagation algorithm that partitions the training set on a ring of processors has been introduced. In this paper, we study the performance of this algorithm on MIMD machines and develop a new version, based on a heterogeneous load sharing. Algebraic models allow precise comparisons between the different methods, and show great improvements in case of parallel learning.< >
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