اگر فایل یا کتابی رو که میخواهید توی سایت نیست روی " پیشنهاد فایل " کلیک کنید.
خرید و دانلود نسخه کامل کتاب Programming Massively Parallel Processors: A Hands-on Approach
2,849,000 تومان قیمت اصلی 2,849,000 تومان بود.2,499,000 تومانقیمت فعلی 2,499,000 تومان است.
تعداد فروش: 63
نویسندگان: David B. Kirk, Wen-mei W. Hwu
زمان تحویل: حداکثر 24 ساعت
Programming Massively Parallel Processors: A Hands-on Approach, Second Edition, teaches students how to program massively parallel processors. It offers a detailed discussion of various techniques for constructing parallel programs. Case studies are used to demonstrate the development process, which begins with computational thinking and ends with effective and efficient parallel programs.This guide shows both student and professional alike the basic concepts of parallel programming and GPU architecture. Topics of performance, floating-point format, parallel patterns, and dynamic parallelism are covered in depth. This revised edition contains more parallel programming examples, commonly-used libraries such as Thrust, and explanations of the latest tools. It also provides new coverage of CUDA 5.0, improved performance, enhanced development tools, increased hardware support, and more; increased coverage of related technology, OpenCL and new material on algorithm patterns, GPU clusters, host programming, and data parallelism; and two new case studies (on MRI reconstruction and molecular visualization) that explore the latest applications of CUDA and GPUs for scientific research and high-performance computing.This book should be a valuable resource for advanced students, software engineers, programmers, and hardware engineers.- New coverage of CUDA 5.0, improved performance, enhanced development tools, increased hardware support, and more- Increased coverage of related technology, OpenCL and new material on algorithm patterns, GPU clusters, host programming, and data parallelism- Two new case studies (on MRI reconstruction and molecular visualization) explore the latest applications of CUDA and GPUs for scientific research and high-performance computing

نقد و بررسیها
هنوز بررسیای ثبت نشده است.