Graphics processing units (GPU) were originally developed to perform calculations related to graphics; however, GPUs are widely used to process scientific and technical calculations because they realize performance in highly parallel computing. NVIDIA’s programming environment includes the compute unified device architecture (CUDA), which is a programming model that applies GPUs for general calculations. This chapter introduces the CUDA programming model and basic usage through sample programs.
CITATION STYLE
Oikawa, M. (2023). Basics of CUDA. In Hardware Acceleration of Computational Holography (pp. 67–82). Springer Nature. https://doi.org/10.1007/978-981-99-1938-3_5
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