The Argonne Training Program on Extreme-Scale Computing starts next week. Paul Messina believes more institutions – including universities – need to offer such advanced training. The complexities of exascale computing are the reason as programming the current generation of leadership class machines requires knowledge of a broad spectrum of topics and many skills: both scientific and computational. The target audience are doctoral students, postdocs, and computational scientists who have used at least one HPC system for a reasonably complex application and are engaged in or planning to conduct computational science and engineering research on large-scale computers. Their research interests span the disciplines that benefit from HPC, such as physics, chemistry, materials science, computational fluid dynamics, climate modeling, and biology. The agenda (viewed here) shows what Argonne believes to be important to “extreme” computing. OpenACC and GPU computing are covered along with MPI, OpenMP, and vectorization.
If you missed the May 2014 registration deadline, then register for the newsletter so you can sign up for next year!
The core of the Argonne program will focus on programming methodologies that are effective across a variety of supercomputers and that are expected to be applicable to exascale systems. Multiple approaches will be covered but the emphasis will be on unifying concepts and levels of abstraction that provide migration paths and performance portability among current and future architectures. Additional topics to be covered include computer architectures, mathematical models and numerical algorithms, approaches to building community codes for HPC systems, and methodologies and tools relevant for Big Data applications.
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