Performing an exhaustive exact k-nearest neighbor (kNN) search, also known as brute-force search, is expensive, and it doesn’t scale particularly well to larger datasets. During vector search, brute-force search requires the distance to be calculated between every query vector and database vector. For the frequently used Euclidean and cosine distances, the computation task becomes equivalent to a…
]]>There is a growing need among embedded and HPC applications to share resources and control execution for pipelined workflows spanning multiple hardware engines and software applications. The following diagram gives an insight into the number of engines that can be supported on NVIDIA-embedded platforms. In addition to GPUs, this includes image processing units like image signal processors…
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