Parallel and Distributed Systems (PDS) 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 PDS paradigms, which share common concepts in practice.
Many-core architectures, multi-core cluster-based supercomputers and Cloud Computing paradigms in this era of exascale computers has tremendously influenced the way computing is applied in science and academia (e.g., scientific computing and large-scale simulations). Implementing Parallel and Distributed Systems presents a PDS infrastructure known as Parvicursor that can facilitate the construction of such scalable and high-performance parallel distributed systems as HPC, Grid and Cloud Computing.
The book covers parallel programming 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. The book features:
Hardware and software perspectives on parallelism
Parallel programing computer networks and storage systems
Parvicursor.NET framework: a partial, native and cross-platform C++ implementation of the .NET framework
xDFS: a native cross-platform framework for efficient file transfer
Focusing on data transmission speed that exploits the computing power of multi-core processors and cutting-edge System-on-Chip (SoC) architectures, it explains how to implement an energy-efficient infrastructure and examines distributing threads among 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.
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