Parallel Processor Core for Semantic Search Engines

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.