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Parallel Processor Core for Semantic Search Engines

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4 Author(s)
Mohan, S. ; Dept. of Comput. Sci. & Eng., Texas A&M Univ., College Station, TX, USA ; Tripathy, A. ; Biswas, A. ; Mahapatra, R.

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 105 compared to a contemporary hardware design, and in the order of 104 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.

Published in:

Parallel and Distributed Processing Workshops and Phd Forum (IPDPSW), 2011 IEEE International Symposium on

Date of Conference:

16-20 May 2011