Entries filed under “HPC Education and Training”

Clipped from: www.cineca.it (share this clip)

PRACE will once again be hosting its Winter School in Bologna on Feb 6-10, 2012. The training is an intense, 5 day, graduate level course in high performance computing, organized in the framework of the European project PRACE.

The school will be focused on hybrid programming for the best exploitation of massively parallel architectures. The facility available at CINECA for exercises is called PLX and is the largest public GPU cluster in Europe. It is made of 274 compute nodes, each containing 2 NVIDIA Tesla M2070 and 2 Intel Xeon Westmere six-core E5645 processors.

Attendance is free. Read the Full Story.

In this video, Professor Wen-Mei Hwu from the University of Illinois at Urbana‐Champaign presents Computer Engineering and the Parallel Computing Revolution.

Modern computers are already heterogeneous parallel systems and will be more so in the near future. The computer of 2016 will have many CPU cores, many GPU cores and many accelerators. While parallel application developers are already reporting 5‐70X speedup over optimized sequential code, this speedup could scale up to over 1,000X by 2016 if we make some important changes in how we do things.

Recorded at the June 1, 2011 at the first annual Technion Computer Engineering (TCE) Conference in Haifa, Israel.

The Swiss National Supercomputer Center (CSCS) will host a three day summer school on parallel programming aimed at graduate students who are new to the world of HPC August 17-19, 2011 in Manno.

The school will cover topics such as the principles of parallel programming, distributed memory programming with MPI, shared memory programming using OpenMP, hybrid programming with MPI/OpenMP and performance tools for parallel applications, as well as some advanced topics. The purpose of the summer school is to teach programming skills and therefore a large proportion of the course will be dedicated to practical exercises.

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TACC’s Victor Eijkhout, Edmond Chow, and Robert van de Geij have posted an excellent eBook entitled: Introduction to High-Performance Scientific Computing. While currently in a Public Draft form that is open for comments, the book features topics such as Sequential and Parallel Computer Architecture, Programming strategies for high performance, Numerical treatment of differential equations, High performance linear algebra, Monte Carlo Methods, and much more.

The field of high performance scientific computing lies at the crossroads of a number of disciplines and skill sets, and correspondingly, for someone to be successful at using high performance computing in science requires at least elementary knowledge of and skills in all these areas. Computations stem from an application context, so some acquaintance with physics and engineering sciences is desirable. Then, problems in these application areas are typically translated into linear algebraic, and sometimes combinatorial, problems, so a computational scientist needs knowledge of several aspects of numerical analysis, linear algebra, and discrete mathematics. An efficient implementation of the practical formulations of the application problems requires some understanding of computer architecture, both on the CPU level and on the level of parallel computing. Finally, in addition to mastering all these sciences, a computational sciences needs some specific skills of software management.

While good texts exist on applied physics, numerical linear algebra, computer architecture, parallel computing, performance optimization, no book brings together these strands in a unified manner. The need for a book such as the present was especially apparent at the Texas Advanced Computing Center: users of the facilities there often turn out to miss crucial parts of the background that would make them efficient computational scientists. This book, then, comprises those topics that seem indispensible for scientists engaging in large-scale computations.