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This book addresses the significant challenge in designing applications to effectively use high-performance computing architectures and offers methods to more effectively restructure applications to take advantage of these powerful nodes. The authors discuss the benefit of vectorization, providing examples run on current accelerators. They also explore issues with data locality when threading on the nodes and examine the accelerator in detail. The book describes programming environments for hybrid multicore systems, from the low level OpenCL and Cuda languages to new directive-based...

High Performance Computing: Programming and Applications presents techniques that address new performance issues in the programming of high performance computing (HPC) applications. Omitting tedious details, the book discusses hardware architecture concepts and programming techniques that are the most pertinent to application developers for achieving high performance. Even though the text concentrates on C and Fortran, the techniques described can be applied to other languages, such as C++ and Java.

Drawing on their experience with chips from AMD and...