May 2019
Intermediate to advanced
452 pages
12h 16m
English
Content preview from Hands-On GPU Computing with Python
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GPU-accelerated machine learning in Python – benchmark research
A study in Boston optimized a set of machine learning algorithms on a GPU. It revealed the performance of two popular GPU integration tools developed in Python, namely, Cython and PyCUDA. Utilizing the GPU’s parallel performance advantages, speedups of 20 times - 200 times over the multi-threaded Scikit Learn (a machine learning library for the Python) CPU-based implementations were highlighted. It also specifically addresses the need for GPUs due to the growing sizes of emerging datasets:
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