High performance computing systems (210 Ergebnisse)

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High-Performance Big-Data Analytics. Computing Systems and Approaches.
Raj, Pethuru; Raman, Anupama; Nagaraj, Dhivya; Duggirala, Siddhartha
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235 mm x 155 mm, 0 g. XXII, 428 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Computer Communications and Networks. Sprache: Englisch.…

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Zustand: Good. Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Ex-library, so some stamps and wear, but in good overall condition. Our donations to The Rainbow Centre have helped provide an education and a safe haven to hundreds of children who live in appalling conditions.…

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Zustand: Good. Volume 1. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. Clean from markings. In good all round condition. No dust jacket. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,1550grams, ISBN:9780130137845.…

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Zustand: New. pp. xiv + 267 Illus.

Verlag: Universal Law Publishing Company Pvt. Ltd.
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High-Performance Big-Data Analytics : Computing Systems and Approaches
Raj, Pethuru, Nagaraj, Dhivya, Duggirala, Siddhartha, Raman, Anupama
- Hardcover
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Zustand: Very Good. Pages intact with possible writing/highlighting. Binding strong with minor wear. Dust jackets/supplements may not be included. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.

Sprache: Englisch
Verlag: Amazon Digital Services LLC - Kdp Sep 2026, 2026
- Softcover
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Taschenbuch. Zustand: Neu. Neuware.

Sprache: Englisch
Verlag: Springer, 2013
- Hardcover
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Hardcover. Zustand: Near Fine. Hardcover, xii + 378 pages, NOT ex-library. Printed in Germany (not an economy / Indian edition). Clean and bright throughout with unmarked text, free of inscriptions and stamps, firmly bound. Published without a dust jacket. -- The twin challenge of meeting global energy demands in the face of growing economies and populations and restricting greenhouse gas emissions is one of the most daunting ones that humanity has ever faced. Smart electrical generation and distribution infrastructure will play a crucial role in meeting these challenges. We would need to develop capabilities to handle large volumes of data generated by the power system components like PMUs, DFRs and other data acquisition devices as well as by the capacity to process these data at high resolution via multi-scale and multi-period simulations, cascading and security analysis, interaction between hybrid systems (electric, transport, gas, oil, coal, etc.) and so on, to get meaningful information in real time to ensure a secure, reliable and stable power system grid. Advanced research on development and implementation of market-ready leading-edge high-speed enabling technologies and algorithms for solving real-time, dynamic, resource-critical problems will be required for dynamic security analysis targeted towards successful implementation of Smart Grid initiatives. This books aims to bring together some of the latest research developments as well as thoughts on the future research directions of the high performance computing applications in electric power systems planning, operations, security, markets, and grid integration of alternate sources of energy, etc. -- Contents: High Performance Computing in Electrical Energy Systems Applications; High Performance Computing for Power System Dynamic Simulation; Distributed Parallel Power System Simulation; A MAS-Based Cluster Computing Platform for Modern EMS; High-Performance Computing for Real-Time Grid Analysis and Operation; Dynamic Load Balancing and Scheduling for Parallel Power System Dynamic Contingency Analysis; Reconfigurable Hardware Accelerators for Power Transmission System Computation; Polynomial Preconditioning of Power System Matrices with Graphics Processing Units; Reference Network Models: A Computational Tool for Planning and Designing Large-Scale Smart Electricity Distribution Grids; Electrical Load Modeling and Simulation; On-Line Transient Stability Screening of a Practical 14,500-Bus Power System: Methodology and Evaluations; Application of HPC for Power System Operation and Electricity Market Tools for Power Networks of the Future.…

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Taschenbuch. Zustand: Neu. Neuware - Stop Treating the GPU Like a Faster CPU. Learn to Engineer It as a Complete Computing System.Modern GPU development is no longer just about writing a CUDA kernel and hoping it runs faster. Real performance depends on the entire path from application code to driver, memory system, scheduler, hardware, and production infrastructure.GPU Operating Systems and Parallel Computing gives you a practical, systems-level framework for understanding that entire stack.Starting with the GPU operating environment, this guide explains how host operating systems, drivers, runtimes, contexts, queues, memory mappings, firmware, and hardware schedulers work together. From there, it moves into GPU architecture, parallel decomposition, CUDA programming, memory optimization, asynchronous execution, profiling, debugging, multi-GPU computing, and production deployment.Inside, you'll learn how to: - Understand the GPU software and hardware stack-and diagnose problems at the correct layer- Think in terms of warps, blocks, grids, streaming multiprocessors, memory hierarchies, and resource limits- Design parallel algorithms around independence, dependencies, locality, load balance, and scaling- Build and troubleshoot a CUDA development environment- Write correct CUDA kernels and reason about execution, synchronization, and launch configuration- Optimize memory access, data reuse, transfers, and shared-memory usage- Use streams, events, CUDA Graphs, and concurrency to build efficient pipelines- Profile workloads systematically instead of relying on optimization folklore- Debug memory errors, race conditions, synchronization failures, and numerical problems- Design multi-GPU workloads using topology awareness, collectives, MPS, and MIG- Build reliable GPU applications with observability, testing, reproducibility, security, and deployment practices- Evaluate CUDA, HIP, SYCL, and abstraction layers when portability mattersThe book is designed for developers and engineers working in GPU programming, HPC, machine learning, scientific computing, simulation, rendering, backend infrastructure, and high-performance systems. It combines conceptual explanations with diagrams, tables, code examples, exercises, and practical engineering decision processes.Most importantly, it teaches a repeatable approach to GPU performance: establish correctness, measure the complete workload, identify the real bottleneck, make a targeted change, and validate the result.Whether you're learning CUDA, optimizing an existing GPU workload, building a multi-GPU service, or designing production accelerator infrastructure, this book helps you connect parallel programming concepts to the physical realities of modern GPU systems.Build faster GPU software-but more importantly, learn why it is fast, when it will fail, and how to make it dependable.…

- Softcover
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Zustand: New. pp. 330.

- Softcover
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- Softcover
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Taschenbuch. Zustand: Neu. Neuware - Engineer ultra-fast, low-latency systems with modern C++ for robotics, simulation, and performance-critical softwareWhen milliseconds matter, abstraction alone is not enough.Real-time robotics, simulation engines, embedded systems, and high-performance computing platforms require precise memory control, predictable execution, and efficient hardware utilization.C++ remains one of the most powerful tools for building these systems.'C++ at the Metal' is a practical, engineering-focused guide to writing high-performance C++ applications optimized for modern hardware, real-time execution, and computational efficiency.This book teaches developers how to build fast, deterministic systems using advanced C++ techniques, SIMD optimization, and low-level performance engineering.Why performance engineering mattersModern robotics and simulation systems face challenges such as: - real-time processing constraints- low-latency sensor pipelines- memory bandwidth bottlenecks- CPU cache inefficiencies- high-frequency control loops- parallel computation demands- deterministic execution requirementsEfficient systems programming is essential for meeting these constraints reliably.What you will learn- modern C++ fundamentals for systems programming- memory management and cache-aware design- low-level performance optimization techniques- SIMD and vectorized computation strategies- multithreading and concurrency patterns- lock-free and low-latency programming concepts- real-time systems design principles- profiling and benchmarking workflows- numerical optimization for simulation systems- interfacing with robotics and hardware platformsFrom algorithms to hardware-efficient systemsThroughout the book, you will learn how to: - write cache-friendly high-performance code- reduce latency in real-time pipelines- optimize CPU-bound workloads effectively- leverage SIMD for computational acceleration- design deterministic concurrent systems- benchmark and profile software scientifically- build maintainable systems without sacrificing speedEach chapter focuses on practical engineering patterns used in robotics, simulation, and infrastructure software.Practical applications- robotics control systems- simulation and physics engines- autonomous systems software- sensor fusion pipelines- game and rendering engines- real-time infrastructure platformsThese examples reflect real-world high-performance engineering challenges.Who this book is for- C++ developers- robotics engineers- simulation engineers- systems programmers- embedded developers- performance-focused software engineersIf you want to build software that fully utilizes modern hardware while remaining reliable and maintainable, this book provides the roadmap.Control memory precisely.Optimize relentlessly.Engineer systems at the metal.…

- Softcover
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High Performance Computing Systems : Performance Modeling, Benchmarking and Simulation: 5th International Workshop, Pmbs 2014, Selected Papers
Jarvis, Stephen A. (EDT); Wright, Stephen A. (EDT); Hammond, Simon D. (EDT)
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Sprache: Englisch
Verlag: Springer, 2010
Serie: Buch 26 von 578 - Communications in Computer and Information Science
- Softcover
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- Hardcover
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Zustand: New. pp. xiv + 242.

- Softcover
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High Performance Computing Systems : 19th Symposium, WSCAD 2018, São Paulo, Brazil, October 1-3, 2018, Revised Selected Papers
Bianchini, Calebe (EDT); Osthoff, Carla (EDT); Souza, Paulo (EDT); Ferreira, Renato (EDT)
Sprache: Englisch
Verlag: Springer, 2020
Serie: Buch 314 von 578 - Communications in Computer and Information Science
- Softcover
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High-performance Computing Systems and Technologies in Scientific Research, Automation of Control and Production : 10th International Conference, Hpcst 2020, Barnaul, Russia, May 15?16, 2020, Revised Selected Papers
Jordan, Vladimir (EDT); Filimonov, Nikolay (EDT); Tarasov, Ilya (EDT); Faerman, Vladimir (EDT)
- Softcover
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High Performance Computing Systems and Applications : 23rd International Symposium, Hpcs 2009, Kingston, On, Canada, June 14-17, 2009, Revised Selected Papers
Mewhort, Douglas J. K. (EDT); Cann, Natalie M. (EDT); Slater, Gary W. (EDT); Naughton, Thomas J. (EDT)
- Softcover
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Sprache: Englisch
Verlag: Independently Published Jun 2026, 2026
- Softcover
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Taschenbuch. Zustand: 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 development 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.…

- Softcover
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Taschenbuch. Zustand: Neu. Neuware.

High Performance Computing Systems: 19th Symposium, WSCAD 2018, São Paulo, Brazil, October 1-3, 2018, Revised Selected Papers (Communications in Computer and Information Science)
Bianchini, Calebe (Editor) / Osthoff, Carla (Editor) / Souza, Paulo (Editor) / Ferreira, Renato (Editor)
Sprache: Englisch
Verlag: Springer, 2020
Serie: Buch 314 von 578 - Communications in Computer and Information Science
- Softcover
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Paperback. Zustand: Brand New. revised edition. 212 pages. 9.25x6.10x0.48 inches. In Stock.