Parallel Processor Core for Semantic Search Engines
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abstract
Superior and fast semantic comparison improves the quality of web-search. Semantic comparison involves dot product computation of large sparse tensors which is time consuming and expensive. In this paper we present a low power parallel architecture that consumes only 15.41 Watts and demonstrates a speed-up in the order of 10 5 compared to a contemporary hardware design, and in the order of 10 4 compared to a purely software approach. Such high performance low power architecture can be used in semantic routers to elegantly implement energy efficient distributed search engines. 2011 IEEE.
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2011 IEEE International Symposium on Parallel and Distributed Processing Workshops and Phd Forum