High performance scientific computing (301 résultats)

hardcover. Etat : Very Good. Fast Shipping - Safe and Secure 7 days a week.

Etat : New.

Etat : New.

Etat : As New. Unread book in perfect condition.

hardcover. Etat : New.

Paperback. Etat : Very Good. Python is an efficient tool for coupling scientific computing and mathematics. This book teaches you how to use it for linear algebra, arrays, plotting, iterating, functions, and polynomials. You'll explore task automation and understand essential math concepts and algorithms along with integrations for faster computation in scientific computing.…

Etat : New.

Paperback or Softback. Etat : New. Scientific Computing with Python - Second Edition: High-performance scientific computing with NumPy, SciPy, and pandas. Book.

Etat : good. This is a pre-loved book that shows moderate signs of wear from previous reading. You may notice creases, edge wear, or a cracked spine, but it remains in solid, readable condition. Please note: -May include library or rental stickers, stamps, or markings. -Supplemental materials e.g., CDs, access codes, inserts are not guaranteed. -Box sets may not come with the original outer box. If it does, the box will not be in perfect condition. Your satisfaction is our top priority! If you have any questions or concerns about your order, please don't hesitate to reach out. Thank you for shopping with us and supporting small businessâ"happy reading. …

Book, Paperback. Etat : Used. Introduction to High Performance Scientific Computing. These are USED books. Please only purchase if you are happy with that. Images & Editions We use stock images and database descriptions based on the ISBN. The image shown may NOT be the actual book cover you will receive. Covers, editions, printings, and publishers may differ. If you need a specific cover, edition, or printing, please contact us before purchasing. What ?Used? Means Because these books are pre-owned: Colouring books may be coloured in Textbooks may have answers filled in, highlighting, notes, or underlining Workbooks may have writing inside Access codes, download codes, CDs, DVDs, or online content are usually missing or already used Books that originally came with toys, inserts, maps, cards, or bonus items will usually NOT include them Pages may be folded, marked, or show normal signs of use If you are buying a book for anything other than reading (e.g. colouring, study use, collecting, gifts, specific covers, bonus items, or digital access), used books may not be suitable. Condition All books are listed as Used ? Good Books are clean and readable but not new Some books may have: Writing, highlighting, or markings Folded pages or minor wear A small warehouse or inventory sticker on the spine Original retailer stickers (we do not remove them) Our Process We purchase books by the pallet and scan thousands at a time. For this reason, we cannot photograph or individually inspect every book. Acknowledgement By purchasing, you acknowledge that: You understand the book is used You accept the condition and limitations described above Stock images and descriptions may not exactly match the item received Thank you for supporting Oak Books and helping give books a second life.…

Paperback. Etat : Very Good. First Edition. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.

Paperback. Etat : Very Good. Python is an efficient tool for coupling scientific computing and mathematics. This book teaches you how to use it for linear algebra, arrays, plotting, iterating, functions, and polynomials. You'll explore task automation and understand essential math concepts and algorithms along with integrations for faster computation in scientific computing.…

Etat : New.

paperback. Etat : Very Good.

Etat : New.

Softcover reprint of the original 1st ed. 1999. 16 x 24 cm. X, 471 S. X, 471 p. 75 illus., 44 illus. in color. Softcover. 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. (Lecture Notes in Computational Science and Engineering). Sprache: Englisch.…

Etat : As New. Unread book in perfect condition.

Etat : New.

Etat : As New. Unread book in perfect condition.

Etat : New.

Etat : very good. Cambridge & London : MIT Press, 1996. Hardcover. XXIII, 760 pp. (Scientific and engineering computation series). Condition : fine. Condition : very good copy. ISBN 9780262061810. Keywords : computer science.

Etat : New.

Etat : New.

Etat : New.

paperback. Etat : New. Ship within 24hrs. 100% Satisfaction is Our #1 Goal.

Paperback. Etat : New.

Etat : As New. Unread book in perfect condition.

Taschenbuch. Etat : 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.…

Etat : As New. Unread book in perfect condition.

Etat : New.