CORDIS Project
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This project develops a software library for training neural networks in parallel on diverse computing systems. It aims to enhance the efficiency of training algorithms by optimizing communication and adapting to various architectures, ultimately improving performance on heterogeneous computational grids.
The proposed research is focused on the software library development for parallel neural networks training on computational Grids.
The main scientific reason of the proposed research is to develop enhanced parallel neural network training algorithms which provide better parallelization efficiency on heterogeneous computational Grids in the contrast to existing algorithms.
The objectives of the proposed research are: 1. to adapt the computational cost model of parallel neural network training alg…
UNIVERSITA DELLA CALABRIA
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