In this video from PyData NYC 2012, Andreas Klöckner from New York University presents a brief introduction to GPU programming with Python, including run-time code generation and use of high-level tools like PyCUDA, PyOpenCL, and Loo.py.
Video: Programming GPUs with Python
January 31, 2013 by 
Industry Perspectives
New, Open DPC++ Extensions Complement SYCL and C++
In this guest article, our friends at Intel discuss how accelerated computing has diversified over the past several years given advances in CPU, GPU, FPGA, and AI technologies. This innovation drives the need for an open and cross-platform language that allows developers to realize the potential of new hardware, minimizes development cost and complexity, and maximizes reuse of their software investments.
White Papers
Modernizing and Future-Proofing Your Storage Infrastructure
In this insideHPC Special Research Report sponsored by Seagate, “Modernizing and Future-Proofing Your Storage Infrastructure,” we take a look at the importance of modernizing your HPC storage infrastructure.
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