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Published online by Cambridge University Press: 21 November 2024
Providing a comprehensive introduction to GPU programming and its application in data management, this chapter uses sorting algorithms as a case study. It explores how parallel programming and architecture-oriented performance tuning are integral to unlocking the full potential of GPUs as powerful computing devices. The chapter takes readers through the transformation process of a sequential bubble sorting algorithm into GPU-friendly bitonic sorting and odd–even merging sorting algorithms, illustrating the capabilities and advantages of GPU computing in data management.
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