Implementing Parallel and Distributed Systems

<p>Parallel and distributed systems (PADS) have evolved from the early days of computational science and supercomputers to a wide range of novel computing paradigms each of which is exploited to tackle specific problems or application needs including distributed systems parallel computing and cluster computing generally called high-performance computing (HPC). Grid Cloud and Fog computing patterns are the most important of these PADS paradigms which share common concepts in practice.</p><p>Many-core architectures multi-core cluster-based supercomputers and Cloud Computing paradigms in this era of exascale computers have tremendously influenced the way computing is applied in science and academia (e.g. scientific computing and large-scale simulations). <i>Implementing Parallel and Distributed Systems </i>presents a PADS infrastructure known as Parvicursor that can facilitate the construction of such scalable and high-performance parallel distributed systems as HPC Grid and Cloud Computing.</p><p>This book covers parallel programming models techniques tools development frameworks and advanced concepts of parallel computer systems used in the construction of distributed and HPC systems. It specifies a roadmap for developing high-performance client-server applications for distributed environments and supplies step-by-step procedures for constructing a native and object-oriented C++ platform.</p><p><b>FEATURES:</b></p><ul> <li>Hardware and software perspectives on parallelism</li> <li>Parallel programming many-core processors computer networks and storage systems</li> <li>Parvicursor.NET Framework: a partial native and cross-platform C++ implementation of the .NET Framework</li> <li>xThread: a distributed thread programming model by combining thread-level parallelism and distributed memory programming models</li> <li>xDFS: a native cross-platform framework for efficient file transfer</li> <li>Parallel programming for HPC systems and supercomputers using message passing interface (MPI)</li> </ul><p>Focusing on data transmission speed that exploits the computing power of multicore processors and cutting-edge system-on-chip (SoC) architectures it explains how to implement an energy-efficient infrastructure and examines distributing threads amongst Cloud nodes. Taking a solid approach to design and implementation this book is a complete reference for designing implementing and deploying these very complicated systems.</p>