Descripción del título
Heterogeneous computing wit...
"Heterogeneous Computing with OpenCL teaches OpenCL and parallel programming for complex systems that may include a variety of device architectures: multi-core CPUs, GPUs, and fully-integrated Accelerated Processing Units (APUs) such as AMD Fusion technology. Designed to work on multiple platforms and with wide industry support, OpenCL will help you more effectively program for a heterogeneous future. Written by leaders in the parallel computing and OpenCL communities, this book will give you hands-on OpenCL experience to address a range of fundamental parallel algorithms. The authors explore memory spaces, optimization techniques, graphics interoperability, extensions, and debugging and profiling. Intended to support a parallel programming course, Heterogeneous Computing with OpenCL includes detailed examples throughout, plus additional online exercises and other supporting materials"--Provided by publisher
Monografía
monografia Rebiun18116147 https://catalogo.rebiun.org/rebiun/record/Rebiun18116147 m o d cr cn||||||||| 121115s2013 ne a ob 001 0 eng d 9780124058941 0124058949 9780124055209 0124055206 9780128016497 0128016493 9780124058941 0124058949 E7B. eng. pn. E7B. OCLCO. OCLCQ. UIU. YDXCP. OPELS. NT. WAU. OCLCF. UPM. CDX. OCLCQ. OPELS. UNAV 005.13/3 23 Heterogeneous computing with OpenCL Recurso electrónico] Benedict R. Gaster [and others] Rev. OpenCL 1.2 ed Amsterdam Boston Elsevier/Morgan Kaufmann 2013 Amsterdam Boston Amsterdam Boston Elsevier/Morgan Kaufmann xv, 291 p. il. col xv, 291 p. EBSCO Academic eBook Collection Complete Incluye referencias bibliográficas e índice Machine generated contents note: ch. 1 Introduction to Parallel Programming -- ch. 2 Introduction to OpenCL -- ch. 3 OpenCL Device Architectures -- ch. 4 Basic OpenCL Examples -- ch. 5 Understanding OpenCL's Concurrency and Execution Model -- ch. 6 Dissecting a CPU/GPU OpenCL Implementation -- ch. 7 Data Management -- ch. 8 OpenCL Case Study: Convolution -- ch. 9 OpenCL Case Study: Histogram -- ch. 10 OpenCL Case Study: Mixed Particle Simulation -- ch. 11 OpenCL Extensions -- ch. 12 Foreign Lands: Plugging OpenCL In -- ch. 13 OpenCL Profiling and Debugging -- ch. 14 Performance Optimization of an Image Analysis Application "Heterogeneous Computing with OpenCL teaches OpenCL and parallel programming for complex systems that may include a variety of device architectures: multi-core CPUs, GPUs, and fully-integrated Accelerated Processing Units (APUs) such as AMD Fusion technology. Designed to work on multiple platforms and with wide industry support, OpenCL will help you more effectively program for a heterogeneous future. Written by leaders in the parallel computing and OpenCL communities, this book will give you hands-on OpenCL experience to address a range of fundamental parallel algorithms. The authors explore memory spaces, optimization techniques, graphics interoperability, extensions, and debugging and profiling. Intended to support a parallel programming course, Heterogeneous Computing with OpenCL includes detailed examples throughout, plus additional online exercises and other supporting materials"--Provided by publisher Forma de acceso: World Wide Web Gaster, Benedict