multiple-data (SIMD) instructions like the Intel® Advanced Vector Extensions 512 and Intel® Advanced Matrix Extensions. As a result, CPUs are suited to a wide variety of workloads. Even for massively parallel workloads, CPUs can outperform accelerators for algorithms with high branc...
A major time reduction can be achieved by parallelizing the numerous computations of NCC. In this paper, two approaches for parallelization have been investigated: the OpenMP interface on a multi-CPU system and Compute Unified Device Architecture (CUDA) on a graphics processing unit (GPU). The ...
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