The goal of this workshop is to provide training in the area of high performance scientific computing for graduate students and researchers interested in scientific computing. The School will address current hardware and software technologies and trends for parallel computing and their application to solve scientific problems. It will also include lab sessions where participants will get hands-on experience with parallel computing including the use of performance evaluation and debugging tools on state of the art simulation codes.
The workshop begins with a series of overview presentations on current state-of-the-art computing architectures and parallel programming as well as how they are used to address scientific and engineering challenges in various fields with physics spanning from atomistic to macroscopic phenomena. The remaining presentations are devoted to programming and debugging tools.
Network for Computational Nanotechnology (NCN),
Rosen Center for Advanced Computing (RCAC), ITaP, Purdue University,
Computing Research Institute (CRI), Purdue University,
Computational Science & Engineering Program, Purdue University
Researchers should cite this work as follows:
Purdue University, West Lafayette, IN