parallel and bit parallel text algorithms

Недавно искали

Диапазон цен

Похожие товары



Fayez Gebali Algorithms and Parallel Computing

There is a software gap between the hardware potential and the performance that can be attained using today's software parallel program development tools. The tools need manual intervention by the programmer to parallelize the code. Programming a parallel computer requires closely studying the target algorithm or application, more so than in the traditional sequential programming we have all learned. The programmer must be aware of the communication and data dependencies of the algorithm or application. This book provides the techniques to explore the possible ways to program a parallel computer for a given application.

8155.66 рублей

Купить сейчас

Programming Massively Parallel Processors: A Hands-on Approach

Programming Massively Parallel Processors: A Hands-on Approach shows both student and professional alike the basic concepts of parallel programming and GPU architecture. Concise, intuitive, and practical, it is based on years of road-testing in the authors' own parallel computing courses. Various techniques for constructing parallel programs are explored in detail, while case studies demonstrate the development process, which begins with computational thinking and ends with effective and efficient parallel programs. Topics of performance, parallel patterns, and dynamic parallelism are covered in depth. The new edition includes updated coverage of CUDA, including the newer libraries such as CuDNN. New chapters on frequently used parallel patterns have been added, and case studies have been updated to reflect current industry practices.NEW FOR THE THIRD EDITION- Parallel Patterns Includes several new chapters on frequently used parallel patterns (histogram, merge sort, and graph search).- Deep Learning A new chapter on deep learning has been added as an application case study.- Advanced CUDA Features The advanced features of CUDA are explored in a new chapter.- Pascal Recent GPU architectural features are covered, including Pascal.

4104 рублей

Купить сейчас

John Cheng Professional CUDA C Programming

Break into the powerful world of parallel GPU programming with this down-to-earth, practical guide Designed for professionals across multiple industrial sectors, Professional CUDA C Programming presents CUDA – a parallel computing platform and programming model designed to ease the development of GPU programming – fundamentals in an easy-to-follow format, and teaches readers how to think in parallel and implement parallel algorithms on GPUs. Each chapter covers a specific topic, and includes workable examples that demonstrate the development process, allowing readers to explore both the «hard» and «soft» aspects of GPU programming. Computing architectures are experiencing a fundamental shift toward scalable parallel computing motivated by application requirements in industry and science. This book demonstrates the challenges of efficiently utilizing compute resources at peak performance, presents modern techniques for tackling these challenges, while increasing accessibility for professionals who are not necessarily parallel programming experts. The CUDA programming model and tools empower developers to write high-performance applications on a scalable, parallel computing platform: the GPU. However, CUDA itself can be difficult to learn without extensive programming experience. Recognized CUDA authorities John Cheng, Max Grossman, and Ty McKercher guide readers through essential GPU programming skills and best practices in Professional CUDA C Programming, including: CUDA Programming Model GPU Execution Model GPU Memory model Streams, Event and Concurrency Multi-GPU Programming CUDA Domain-Specific Libraries Profiling and Performance Tuning The book makes complex CUDA concepts easy to understand for anyone with knowledge of basic software development with exercises designed to be both readable and high-performance. For the professional seeking entrance to parallel computing and the high-performance computing community, Professional CUDA C Programming is an invaluable resource, with the most current information available on the market.

4010.31 рублей

Купить сейчас

Gastón Hillar C. Professional Parallel Programming with C#. Master Parallel Extensions with .NET 4

Expert guidance for those programming today’s dual-core processors PCs As PC processors explode from one or two to now eight processors, there is an urgent need for programmers to master concurrent programming. This book dives deep into the latest technologies available to programmers for creating professional parallel applications using C#, .NET 4, and Visual Studio 2010. The book covers task-based programming, coordination data structures, PLINQ, thread pools, asynchronous programming model, and more. It also teaches other parallel programming techniques, such as SIMD and vectorization. Teaches programmers professional-level, task-based, parallel programming with C#, .NET 4, and Visual Studio 2010 Covers concurrent collections, coordinated data structures, PLINQ, thread pools, asynchronous programming model, Visual Studio 2010 debugging, and parallel testing and tuning Explores vectorization, SIMD instructions, and additional parallel libraries Master the tools and technology you need to develop thread-safe concurrent applications for multi-core systems, with Professional Parallel Programming with C#.

3676.07 рублей

Купить сейчас

Ручки Jacob Delafon к biove/parallel (E60327-CP)

Ручки для ванны biove/parallel.

8010 рублей

Купить сейчас

Break into the powerful world of parallel GPU programming with this down-to-earth, practical guide Designed for professionals across multiple industrial sectors, Professional CUDA C Programming presents CUDA – a parallel computing platform and programming model designed to ease the development of GPU programming – fundamentals in an easy-to-follow format, and teaches readers how to think in parallel and implement parallel algorithms on GPUs. Each chapter covers a specific topic, and includes workable examples that demonstrate the development process, allowing readers to explore both the «hard» and «soft» aspects of GPU programming. Computing architectures are experiencing a fundamental shift toward scalable parallel computing motivated by application requirements in industry and science. This book demonstrates the challenges of efficiently utilizing compute resources at peak performance, presents modern techniques for tackling these challenges, while increasing accessibility for professionals who are not necessarily parallel programming experts. The CUDA programming model and tools empower developers to write high-performance applications on a scalable, parallel computing platform: the GPU. However, CUDA itself can be difficult to learn without extensive programming experience. Recognized CUDA authorities John Cheng, Max Grossman, and Ty McKercher guide readers through essential GPU programming skills and best practices in Professional CUDA C Programming, including: CUDA Programming Model GPU Execution Model GPU Memory model Streams, Event and Concurrency Multi-GPU Programming CUDA Domain-Specific Libraries Profiling and Performance Tuning The book makes complex CUDA concepts easy to understand for anyone with knowledge of basic software development with exercises designed to be both readable and high-performance. For the professional seeking entrance to parallel computing and the high-performance computing community, Professional CUDA C Programming is an invaluable resource, with the most current information available on the market.

Каталог может помочь купить parallel and bit parallel text algorithms, сперва сверив оптимальную стоимость. Цена parallel and bit parallel text algorithms берет отсчет с 747.38 рублей и доходит до 36610 рублей. Этот товар можно прикупить аж в 6 лучших гипермаркетах России, среди них litres.ru, Aliexpress VIP, ozon.ru, Perfekto.ru, chitai-gorod.ru, techport.ru. На конец 2016 года средневзвешенная стоимость parallel and bit parallel text algorithms в РФ примерно 6008.12 рублей, а доставка заказа предлагается в Санкт-Петербурге, Нижнем-Новгороде, Ростове, Ижевске, Хабаровске и Костроме.. Отзывы про parallel and bit parallel text algorithms весьма положительные, а фирму нахваливают на сайтах почти все респонденты сайта.

© 2018 Zamok-Gryoz . Охраняется законом РФ о СМИ | Разработано студией Flexx