Unified framework for fast exact and approximate search in dissimilarity spaces
ACM Transactions on Database Systems (TODS)
On nonmetric similarity search problems in complex domains
ACM Computing Surveys (CSUR)
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This paper describes the development of a FPGA based co-processor architecture for accelerating vector comparisons e.g. Euclidean distance. In this paper we will compare traditional pipelined and dataflow implementations, in terms of processing speed and area requirements. Processing performance will then be compared against a software implementation to evaluate possible speedup.