Parallel computing optimization (104 risultati)
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Taschenbuch. Condizione: Neu. Neuware - A practical guide to high-performance CUDA development for engineers, researchers, and developers who need more than introductory examples. This book focuses on the full workflow of GPU computing, from understanding how streaming multiprocessors execute warps to building maintainable, test…able, and scalable applications for real scientific workloads.The chapters move from core architecture and programming fundamentals into profiling, memory tuning, numerical accuracy, and multi-GPU scaling. You will see how to turn a correct kernel into an efficient one, how to measure bottlenecks with Nsight tools, and how to make informed tradeoffs between occupancy, bandwidth, latency, and precision.What this book covers- GPU architecture and execution behavior, including warps, scheduling, memory hierarchy, and data movement costs.- CUDA kernel design, with launch configuration, indexing, synchronization, debugging, and reusable interfaces.- Performance engineering, using profiling metrics and iterative optimization based on measured results.- Memory optimization, including coalescing, shared memory tiling, register pressure, cache behavior, and data layout.- Common scientific patterns, such as stencils, reductions, scans, sparse formats, and batched linear algebra.- Numerical correctness, with floating point behavior, stable summation, boundary handling, and CPU validation.- Advanced coordination techniques, such as warp and block level operations, streams, events, and asynchronous overlap.- Host and multi-GPU engineering, covering pinned memory, unified memory, partitioning strategies, NCCL, halo exchange, and scaling studies.Why it stands out- Engineering-first approach, centered on real optimization decisions rather than isolated syntax.- Workflow oriented, with profiling, testing, benchmarking, and regression tracking built into the discussion.- Useful for scientific computing, especially stencil solvers, sparse methods, reductions, and iterative pipelines.- Built for maintainability, with guidance on project structure, code reuse, and repeatable validation.Ideal for anyone who wants to write CUDA code that is not only correct, but also fast, traceable, and ready for production-scale workloads.
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Da: Basi6 International, Irving, TX, U.S.A.Basi6 International
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EUR 98,45
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Lingua: Inglese
Editore: Springer, 2010
Serie: Libro 13 di 176 - Springer Optimization and Its Applications
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Da: Basi6 International, Irving, TX, U.S.A.Basi6 International
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Editore: Springer, 2008
Serie: Libro 13 di 176 - Springer Optimization and Its Applications
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Da: preigu, Osnabrück, Germaniapreigu
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Taschenbuch. Condizione: Neu. Bees Swarm Optimization for Association Rule Mining on CUDA | Enactment of Bio Inspired Bees Swarm Intelligence for Association Rule Mining using Parallel Computing Platform | Alankar Shelar | Taschenbuch | 64 S. | Englisch | 2018 | LAP LAMBERT Academic Publishing | EAN 9786139836338 | Verantwortlic…he Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.
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Taschenbuch. Condizione: Neu. Towards Parallel Computing by Patterns, Algorithms and Optimization | Mohammad Sultan Mahmud (u. a.) | Taschenbuch | 52 S. | Englisch | 2017 | LAP LAMBERT Academic Publishing | EAN 9783330028197 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail…[at]preigu[dot]de | Anbieter: preigu.
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Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
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Taschenbuch. Condizione: Neu. Neuware - Have you ever wondered how modern software achieves extraordinary performance when processing massive datasets, running complex simulations, powering intelligent applications, or solving computational problems that would overwhelm traditional systems Have you wanted to move beyond basic pr…ogramming and learn how professional developers build high-performance applications that fully utilize modern hardware This book was written for that journey.Whether you are a software developer, systems programmer, computer science student, researcher, engineer, or technology enthusiast, this guide provides a practical and structured path toward mastering modern high-performance software development using advanced programming techniques and accelerated computing principles.Performance is no longer optional. It is a competitive advantage.Modern applications must process more data, respond faster, scale efficiently, and make better use of available computing resources. This book explains not only how these systems work, but also why specific design decisions lead to better performance, reliability, and scalability.Inside, you will learn how to build a strong foundation in modern systems programming, understand concurrent and parallel execution models, optimize memory usage, improve computational efficiency, and design software that can take advantage of large-scale parallel processing environments.Learn the principles behind high-performance computing.Rather than focusing solely on theory, this book connects core concepts with practical implementation strategies. You will explore memory architecture, workload distribution, synchronization techniques, optimization methodologies, accelerated processing workflows, large-scale data handling, scientific computing applications, machine learning acceleration, simulation systems, and enterprise-grade software engineering practices.Turn complex concepts into practical skills.Every major topic is presented in a clear and progressive manner, allowing you to build knowledge step by step while developing an understanding of how modern computational systems are designed and optimized.By the end of this book, you will be able to think like a performance-focused software engineer, identify bottlenecks with confidence, design scalable solutions, and apply advanced programming techniques to demanding real-world workloads.Build faster. Scale smarter. Compute more efficiently.If your goal is to move beyond conventional application development and gain the knowledge needed to create high-performance software for data-intensive, compute-intensive, and future-ready systems, this book provides the knowledge, techniques, and practical insights to help you get there.The next level of software performance starts here.
Lingua: Inglese
Editore: Independently Published Jun 2026, 2026
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Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
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Taschenbuch. Condizione: Neu. Neuware - Have you ever wondered how modern AI systems process massive amounts of data in seconds Curious about how high-performance applications achieve extraordinary speed and efficiency Interested in harnessing the power of GPUs without sacrificing the safety and reliability of modern software de…velopment If those questions have crossed your mind, then Modern GPU Programming with Rust and CUDA 13 was written for you.What if you could combine the memory safety and performance of Rust with the immense computational power of CUDA-enabled GPUs What if you could develop applications capable of handling complex parallel workloads, accelerating AI systems, optimizing memory usage, and solving computational challenges at scale This book takes you beyond theory and into the practical world of modern GPU programming.Whether you're a software developer looking to expand your expertise, a systems programmer seeking greater performance, an AI engineer building accelerated applications, or a technology enthusiast eager to understand parallel computing, you'll discover the concepts, tools, and techniques needed to work confidently with Rust and CUDA.Have you struggled to understand parallel programming models Wondered how GPU architectures differ from traditional CPUs Asked yourself how professional developers optimize memory transfers, manage thousands of concurrent threads, and unlock maximum hardware performance You'll find clear explanations, practical guidance, and real-world insights designed to help you bridge the gap between understanding and implementation.As you progress through the book, you'll explore the foundations of GPU computing, learn how Rust enhances reliability and safety in high-performance environments, understand CUDA programming principles, master memory optimization strategies, and develop the skills required to build scalable, efficient, and responsive applications.You'll also gain valuable knowledge about performance tuning, concurrency management, GPU acceleration techniques, AI-oriented workloads, and modern development practices used in today's demanding computing environments.The future of computing is increasingly parallel, accelerated, and performance-driven. Are your skills ready for that future Whether your goal is to accelerate machine learning workflows, process large datasets, build high-performance software, or simply become a more capable developer, this book provides the knowledge and practical understanding needed to move forward with confidence.Don't just learn about GPU programming-master the skills that power the next generation of intelligent and high-performance applications.Get your copy today and start building faster, smarter, and more powerful software with Rust and CUDA 13.
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Taschenbuch. Condizione: Neu. Advanced optimization techniques for MT simulation on GPUs | Using massively parallel devices for scientific computing | Eyad Hailat | Taschenbuch | 132 S. | Englisch | 2014 | LAP LAMBERT Academic Publishing | EAN 9783659554636 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher L…andstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
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Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - Massively parallel processing is currently the most promising answer to the quest for increased computer performance. This has resulted in the development of new programming languages and programming environments and has stimulated the design and…production of massively parallel supercomputers. The efficiency of concurrent computation and input/output essentially depends on the proper utilization of specific architectural features of the underlying hardware. This book focuses on development of runtime systems supporting execution of parallel code and on supercompilers automatically parallelizing code written in a sequential language. Fortran has been chosen for the presentation of the material because of its dominant role in high-performance programming for scientific and engineering applications.
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Lingua: Inglese
Editore: Springer, 2008
Serie: Libro 13 di 176 - Springer Optimization and Its Applications
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Lingua: Inglese
Editore: Wiley-Interscience, 2006
Serie: Libro 3 di 32 - Wiley Series on Parallel and Distributed Computing
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Paperback. Condizione: Brand New. 1st edition. 213 pages. 9.53x6.69x0.50 inches. In Stock.
