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Lessons learned from comparing C-CUDA and Python-Numba for GPU-Computing

Published • Mar 1, 2020
NobleIDNI1P97W66R22S08
Authors:
Lena Oden

Abstract

Python as programming language is increasingly gaining importance, especially in data science, scientific, and parallel programming. It is faster and easier to learn than classical programming languages such as C. However, usability often comes at the cost of performance and applications written in ...

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