Programming massively parallel processors
Multi-core processors are no longer the future of computing-they are the present reality. A typical series manufactured CPU features multiple processor cores, while a GPU (Graphics Processing Unit) may have hundreds or even thousands of cores. With the rise of multi-core architectures has come the n...
| Other Authors: | , |
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| Format: | Book |
| Language: | Spanish English |
| Edition: | 2a ed. |
| Subjects: |
| Summary: | Multi-core processors are no longer the future of computing-they are the present reality. A typical series manufactured CPU features multiple processor cores, while a GPU (Graphics Processing Unit) may have hundreds or even thousands of cores. With the rise of multi-core architectures has come the need to teach a new and advanced programmers essential skill: how to program massively parallel processors. Programming Massively Parallel Processors: A Practical Approach shows both student and professional alike the basic concepts of parallel programming and GPU architecture. Various techniques for constructing parallel programs are discussed in detail. Case studies demonstrate the development process, which begins with computational thinking and ends with effective and efficient parallel programs. Teaches computational thinking and problem solving techniques that facilitate high-performance parallel computing. Use CUDA (Compute Unified Device Architecture), a software development tool created specifically for NVIDIA massively parallel environments. Shows how to achieve both high performance and high reliability using the CUDA programming model and OpenCL. |
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| Physical Description: | xx; 496 páginas: ilu 24 cm |
| Bibliography: | incl. ref. |
| ISBN: | 9789351070443 |