Practical High Performance Computing (eBook, ePUB)
Definitive Reference for Developers and Engineers
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"Practical High Performance Computing" "Practical High Performance Computing" offers a comprehensive and accessible guide to the rapidly evolving field of high performance computing (HPC). This expertly structured book takes readers on a journey through the historical evolution of HPC architectures, delving into the intricate details of modern CPUs, GPUs, memory hierarchies, interconnects, and storage technologies. Each chapter is carefully designed to provide foundational understanding, from the basics of system design and energy efficiency to cutting-edge developments in exascale computing, ...
"Practical High Performance Computing"
"Practical High Performance Computing" offers a comprehensive and accessible guide to the rapidly evolving field of high performance computing (HPC). This expertly structured book takes readers on a journey through the historical evolution of HPC architectures, delving into the intricate details of modern CPUs, GPUs, memory hierarchies, interconnects, and storage technologies. Each chapter is carefully designed to provide foundational understanding, from the basics of system design and energy efficiency to cutting-edge developments in exascale computing, cloud-based platforms, and sustainable computing initiatives-the essential context for both newcomers and experienced practitioners seeking a holistic view of HPC systems.
The book excels in bridging theory and practice, presenting advanced programming paradigms and performance optimization strategies through practical, real-world case studies. Readers will master parallel programming with MPI, OpenMP, and emerging models, explore robust software ecosystems, and gain insights into job management, distributed workflows, and security best practices. In-depth discussions on scalable algorithms, high-performance I/O, benchmarking, and diagnostics equip users with the tools needed to maximize computational efficiency and reliability, whether for scientific research, AI integration, or data-driven discovery across diverse domains like genomics, climate modeling, or astrophysics.
Looking toward the future, "Practical High Performance Computing" investigates the open problems and emerging trends shaping the next generation of supercomputing. With thoughtful coverage of topics such as AI-driven optimization, extreme heterogeneity, software portability, resilience, quantum and neuromorphic interfaces, and the socioeconomic dimensions of HPC democratization, this book stands as an indispensable, forward-looking handbook. It is tailored for engineers, researchers, IT professionals, and students who aspire to excel at the intersection of computational science, scalable infrastructure, and innovative software in the era of massive-scale computing.
"Practical High Performance Computing" offers a comprehensive and accessible guide to the rapidly evolving field of high performance computing (HPC). This expertly structured book takes readers on a journey through the historical evolution of HPC architectures, delving into the intricate details of modern CPUs, GPUs, memory hierarchies, interconnects, and storage technologies. Each chapter is carefully designed to provide foundational understanding, from the basics of system design and energy efficiency to cutting-edge developments in exascale computing, cloud-based platforms, and sustainable computing initiatives-the essential context for both newcomers and experienced practitioners seeking a holistic view of HPC systems.
The book excels in bridging theory and practice, presenting advanced programming paradigms and performance optimization strategies through practical, real-world case studies. Readers will master parallel programming with MPI, OpenMP, and emerging models, explore robust software ecosystems, and gain insights into job management, distributed workflows, and security best practices. In-depth discussions on scalable algorithms, high-performance I/O, benchmarking, and diagnostics equip users with the tools needed to maximize computational efficiency and reliability, whether for scientific research, AI integration, or data-driven discovery across diverse domains like genomics, climate modeling, or astrophysics.
Looking toward the future, "Practical High Performance Computing" investigates the open problems and emerging trends shaping the next generation of supercomputing. With thoughtful coverage of topics such as AI-driven optimization, extreme heterogeneity, software portability, resilience, quantum and neuromorphic interfaces, and the socioeconomic dimensions of HPC democratization, this book stands as an indispensable, forward-looking handbook. It is tailored for engineers, researchers, IT professionals, and students who aspire to excel at the intersection of computational science, scalable infrastructure, and innovative software in the era of massive-scale computing.
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