Parallel scientific computing optimization (10 Ergebnisse)

Taschenbuch. Zustand: 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, testable, 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.…

Taschenbuch. Zustand: 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 Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.…

Zustand: New. pp. 300 Illus.

Zustand: New. In English.

Zustand: New. In English.

Paperback. Zustand: Brand New. 300 pages. 9.00x6.00x0.68 inches. In Stock.

Taschenbuch. Zustand: Neu. Parallel Scientific Computing and Optimization | Advances and Applications | Raimondas Ciegis (u. a.) | Taschenbuch | Springer Optimization and Its Applications | xxiv | Englisch | 2010 | Springer | EAN 9781441918840 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.…

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Parallel Scientific Computing and Optimization introduces new developments in the construction, analysis, and implementation of parallel computing algorithms. This book presents 23 self-contained chapters,including surveys,written by distinguished researchers in the field of parallel computing. Each chapter is devoted to some aspects of the subject: parallel algorithms for matrix computations, parallel optimization, management of parallel programming models and data, with the largest focus on parallel scientific computing in industrial applications.Key features include:\* construction and analysis of parallel algorithms for linear algebra and optimization problems;\* different aspects of parallel architectures, including distributed memory computers with multicore processors;\* a wide range of industrial applications: parallel simulation of flows through oil filters as well as in porous and gas media, jet aerodynamics, heat conduction in electrical cables, nonlinear optics processes in tapered lasers, and molecular and cell dynamics.This volume is intended for scientists and graduate students specializing in computer science and applied mathematics who are engaged in parallel scientific computing.…

Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Parallel Scientific Computing and Optimization introduces new developments in the construction, analysis, and implementation of parallel computing algorithms. This book presents 23 self-contained chapters,including surveys,written by distinguished researchers in the field of parallel computing. Each chapter is devoted to some aspects of the subject: parallel algorithms for matrix computations, parallel optimization, management of parallel programming models and data, with the largest focus on parallel scientific computing in industrial applications.Key features include:\* construction and analysis of parallel algorithms for linear algebra and optimization problems;\* different aspects of parallel architectures, including distributed memory computers with multicore processors;\* a wide range of industrial applications: parallel simulation of flows through oil filters as well as in porous and gas media, jet aerodynamics, heat conduction in electrical cables, nonlinear optics processes in tapered lasers, and molecular and cell dynamics.This volume is intended for scientists and graduate students specializing in computer science and applied mathematics who are engaged in parallel scientific computing.…

Zustand: Sehr gut. Zustand: Sehr gut | Seiten: 274 | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.