Parallel Processing Scientific Computing (20 results)

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Paperback. Condition: UsedVeryGood. Softcover; light fading, shelf wear to exterior; bump to side edge of back cover, and wrinkling to side esge of last page; otherwise in very good condition with clean text, firm binding.

Soft cover. Condition: Very Good +. No Jacket. Very Good + copy. (see picture) 397 pages including index.Very minor marks on the front,bottom.Pages all clean,tight and bright.

Softcover. 1041 S. 2 Bde / 2 vol. set. --- Mehrbändiges ehem. Bibliotheksexemplar m. Stempel u. Rückensign. Moderate Gebrauchsspuren, insgesamt guter Zustand. --- Ex-library books in good condition. mbx 0898713153 Sprache: Englisch Gewicht in Gramm: 2030.

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Paperback. Condition: Brand New. 875 pages. 10.25x7.25x1.75 inches. In Stock.

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Paperback. Condition: Brand New. cdr edition. 5.25x5.75x0.50 inches. In Stock.

Paperback. Condition: Brand New. 648 pages. 10.25x7.25x1.50 inches. In Stock.

hardcover. Condition: Good. Good. book.

Softcover. Condition: New. Dust Jacket Condition: no dj. First. Parallel Processing for Scientific Computing and Research offers a cutting-edge exploration of the application of parallel processing in scientific computing and research. This book examines the use of parallel algorithms, distributed computing, and high-performance computing to accelerate complex simulations and analyze large datasets. By leveraging the power of parallel processing, researchers and scientists can simulate complex phenomena, model real-world systems, and gain insights into the underlying mechanisms driving natural and engineered systems. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

Softcover. Condition: New. Dust Jacket Condition: no dj. First. In the realm of scientific computing, the need for rapid processing and efficient data analysis has given rise to the development of parallel processing techniques. This book provides a detailed exploration of the principles and applications of parallel processing in scientific computing, from the fundamental concepts of concurrency and synchronization to the implementation of parallel algorithms and data structures. By examining the latest research and advancements in the field, Parallel Processing for Scientific Computing Applications offers a comprehensive resource for researchers and practitioners seeking to harness the power of parallel processing in their work. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

Softcover. Condition: New. Dust Jacket Condition: no dj. First. Parallel processing has become a crucial technique for solving complex scientific problems. Parallel Processing in Scientific Computing provides a comprehensive guide to parallel processing in scientific computing, covering topics such as parallel algorithms, data parallelism, and synchronization techniques. By applying parallel processing techniques, readers can accelerate the solution of complex scientific problems and achieve significant performance gains. This book covers a range of scientific applications, including computational fluid dynamics, molecular dynamics, and climate modeling. With its focus on parallel processing and performance optimization, Parallel Processing in Scientific Computing is an essential resource for researchers, engineers, and developers working on scientific computing applications. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

Softcover. Condition: New. Dust Jacket Condition: no dj. First. As the volume and complexity of data continue to grow, the need for efficient and scalable computing solutions has never been more pressing. Parallel Processing in Scientific Computing and Data Science provides a comprehensive introduction to the principles and practices of parallel processing, with a focus on its applications in scientific computing and data science. By exploring the latest advances in parallel algorithms and architectures, this book equips readers with the knowledge and skills needed to tackle the most challenging computational problems. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

Softcover. Condition: New. Dust Jacket Condition: no dj. First. The increasing complexity of scientific simulations and financial models requires the development of high-performance computing solutions that can efficiently process vast amounts of data. Parallel Processing for Scientific Computing and Finance offers a comprehensive guide to the design, implementation, and optimization of parallel algorithms for scientific computing and finance. By leveraging the power of parallel processing, researchers and practitioners can accelerate their simulations, improve their models, and make more accurate predictions. This book provides a thorough introduction to the principles of parallel processing, including case studies, examples, and practical applications. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

Softcover. Condition: New. Dust Jacket Condition: no dj. First. In the rapidly evolving world of scientific computing, parallel processing has become a critical component of high-performance computing. Parallel Processing in Scientific Computing offers a comprehensive guide to the principles and best practices of parallel processing, including the importance of parallel algorithms, the use of parallel frameworks, and the value of distributed computing. This book provides a detailed examination of the key factors that contribute to efficient parallel processing, including the importance of load balancing, the use of synchronization techniques, and the value of communication protocols. Through a series of practical exercises and real-world examples, readers will learn how to approach parallel processing with a clear and focused mind, resulting in more efficient and effective scientific computing. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

SIAM l995 875pp; Softbound. VG copy (spine scuffed).