Map-Reduce for Machine Learning on Multicore

NIPS, pp. 281-288, 2006.

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We have demonstrated a simple programming framework where in the future we can just “throw cores” at the problem of speeding up machine learning code

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We are at the beginning of the multicore era. Computers will have increasingly many cores (processors), but there is still no good programming framework for these architectures, and thus no simple and unified way for machine learning to take advantage of the potential speed up. In this paper, we develop a broadly ap- plicable parallel pro...更多

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