GPU-accelerated search refers to the use of Graphics Processing Units (GPUs) to speed up the process of searching through large datasets by parallelizing the computation involved in search algorithms. This technique takes advantage of the GPU's ability to handle many operations simultaneously, allowing for faster retrieval of information compared to traditional CPU-based searches. It is especially beneficial in applications that involve complex search queries or large-scale data, significantly improving performance and efficiency.
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