World Congress 2024 • Aug 20, 2024 • Session details

Accelerating Python on GPUs

Think maximizing GPU power requires low-level CUDA syntax? Think again. Scale your Python computations using top-down frameworks, drop-in acceleration libraries, and JIT compilation for massive performance gains.

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Matching moments

4:37 min

Simplifying parallel programming with the CUDA ecosystem

Paul Graham

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3:32 min

Evolution of general purpose GPU computing and Python

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Exploring the Python-enabled GPU programming software stack

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Accelerating script execution with CuPy and Numba kernels

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1:37 min

Accelerating compute with focused developer tools

Julia Koch

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2:15 min

Introduction to CUDA and general-purpose GPU computing

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