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.
Industry Perspectives
Dr Keren Bergman previews ISC Keynote on Optical Computing for HPC
In this special guest feature from Scientific Computing World, Dr Keren Bergman, Professor of Electrical Engineering at the School of Engineering and Applied Science, Columbia University discusses her keynote on the development of silicon photonics for HPC ahead of her Tuesday keynote presentation at ISC 2018. "So today we are able to make all the components of photonic links and this includes 50 GHz data modulators, 50 GHz receivers, nanosecond scale switches all kinds of structures and we can do wave division multiplexing into these interconnect structures. The capabilities are just enormous." [Read More...]
White Papers
Parallel File System Delivers Better Strategies, Faster
A parallel file system offers several advantages over a single direct attached file system. By using fast, scalable, external disk systems with massively parallel access to data, researchers can perform analysis against much larger datasets than they can by batching large datasets through memory. To Learn More about the Parallel File Systems download this guide
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