Foreword
Large-scale computing—also known as supercomputing—is inherently about performance. We build supercomputers in order to solve the largest possible problems in a time that allows the answers to be relevant. However, application scientists spend the bulk of their time adding functionality to their simulations and are necessarily experts in the domains covered by those simulations. They are not experts in computer science in general and code optimization in particular. Thus, a book such as this one is essential—a comprehensive but succinct guide to achieving performance across the range of architectural space covered by large-scale systems using two widely available standard programming models (OpenMP and MPI) that complement each other. ...
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