Parallel Computing: Accelerating Computational Science and Engineering (CSE) [Kõva köide]

Parallel computing has been the enabling technology of high-end machines for many years. Now, it has finally become the ubiquitous key to the efficient use of any kind of multi-processor computer architecture, from smart phones, tablets, embedded systems and cloud computing up to exascale computers. This book presents the proceedings of ParCo2013 – the latest edition of the biennial International Conference on Parallel Computing – held from 10 to 13 September 2013, in Garching, Germany. The conference focused on several key parallel computing areas. Themes included parallel programming models for multi- and manycore CPUs, GPUs, FPGAs and heterogeneous platforms, the performance engineering processes that must be adapted to efficiently use these new and innovative platforms, novel numerical algorithms and approaches to large-scale simulations of problems in science and engineering.The conference programme also included twelve mini-symposia (including an industry session and a special PhD Symposium), which comprehensively represented and intensified the discussion of current hot topics in high performance and parallel computing. These special sessions covered large-scale supercomputing, novel challenges arising from parallel architectures (multi-/manycore, heterogeneous platforms, FPGAs), multi-level algorithms as well as multi-scale, multi-physics and multi-dimensional problems.It is clear that parallel computing – including the processing of large data sets (“Big Data”) – will remain a persistent driver of research in all fields of innovative computing, which makes this book relevant to all those with an interest in this field.

The invited talks cover extreme data science at the National Energy Research Scientific Computing Center, and performance analysis techniques for the exascale co-design process. About another 85 papers consider such topics as approximate inverse preconditioners for Krylov methods on heterogeneous parallel computers, simulating multiphase flows in the subsurface of supercomputers based on graphics processing units, a fault tolerant implementation of multi-level Monte Carlo methods, global communication schemes for the sparse grid combination technique, potentials and limitation for energy efficient auto-tuning, and a generic prototype to benchmark algorithms and data structures for hierarchical hybrid grids. Annotation ©2016 Ringgold, Inc., Portland, OR (protoview.com)