Exploring GPU architectures to accelerate semantic comparison for intention-based search
Proceedings of the 6th Workshop on General Purpose Processor Using Graphics Processing Units
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To enable meaning based search, computers have to store and compare meaning of user’s search intentions and objects being searched. To address the key requirement of meaning compositionality, we present: design rationale; an algebraic theory; and a technique to represent composite meaning as a tensor which is amenable to efficient similarity computation.