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NumbaPro: High-Level GPU Programming in Python for Rapid Development
Abstract:
Learn about high-level GPU programming in NumbaPro to reduce development time and produce high-performance data-parallel code with the ease of Python. This tutorial is for beginning to intermediate CUDA programmers who already know Python. In this tutorial, audience will learn about (1) high-level Python decorators that turn simple Python functions into data-parallel GPU kernels without any knowledge of the CUDA architecture; (2) CUDA library bindings that can be used as a drop-in to speedup existing applications; and, (3) reuse existing CUDA-C/C++ code in Python with JIT Linking.
 
Topics:
Programming Languages
Type:
Tutorial
Event:
GTC Silicon Valley
Year:
2014
Session ID:
S4413
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