Parallel and High Performance Computing by Robert Robey and Yuliana Zamora | HPC Programming Guide
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Parallel and High Performance Computing by Robert Robey and Yuliana Zamora | HPC Programming Guide
Parallel and High Performance Computing by Robert Robey & Yuliana Zamora
Parallel and High Performance Computing by Robert Robey and Yuliana Zamora is a practical and comprehensive guide to understanding parallel computing, high-performance computing (HPC), programming models, and modern computational systems. It is designed for students, programmers, engineers, researchers, and technical professionals who want to understand how computational workloads can be divided and executed efficiently across modern hardware.
About This Book
As scientific computing, engineering, artificial intelligence, simulations, and data-intensive applications continue to demand greater computational power, parallel and high-performance computing has become an essential area of computer science and engineering.
Parallel and High Performance Computing provides readers with a structured introduction to the concepts and techniques used to build and understand high-performance applications. Robert Robey and Yuliana Zamora explore how computational tasks can be organized so that multiple processing units can work simultaneously, helping readers understand the principles behind modern parallel systems.
The book covers important concepts related to parallel algorithms, performance optimization, distributed computing, shared-memory systems, programming approaches, and computational efficiency. It helps bridge the gap between theoretical concepts and practical implementation.
Readers can develop a stronger understanding of how hardware architecture, algorithms, memory access, communication, synchronization, and workload distribution affect application performance.
Key Topics Covered
- Parallel computing
- High-performance computing
- Parallel programming
- Distributed computing
- Shared-memory systems
- Parallel algorithms
- Performance optimization
- Computational efficiency
- Workload distribution
- Modern computing architectures
- Scientific and engineering computing
- HPC programming concepts
Why Read This Book?
Understanding parallel computing is increasingly important for professionals working with large-scale simulations, scientific computing, engineering applications, data processing, machine learning, and other computationally intensive workloads.
This book provides a useful foundation for readers who want to understand how parallel systems operate and how software can be designed to take advantage of available computational resources.
Who Should Read This?
This book is suitable for computer science students, software developers, programmers, engineers, researchers, data scientists, computational scientists, and professionals interested in high-performance computing and parallel programming.
It can also serve as a valuable reference for university-level courses and technical self-study.
Product Details
- Title: Parallel and High Performance Computing
- Authors: Robert Robey, Yuliana Zamora
- Language: English
- Genre: Technology Books / Computer Science / Programming
- Subject: Parallel Computing / High-Performance Computing
- Format: [Edition dependent]
- Publisher: [Edition dependent]
- ISBN: [Edition dependent]
Build a stronger understanding of parallel programming and high-performance computing with Parallel and High Performance Computing by Robert Robey and Yuliana Zamora. Order from BOOKBEEN and explore the concepts behind modern computational performance and parallel systems.