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Heterogeneous computing with OpenCL / Benedict R. Gaster [and others].

Contributor(s): Material type: TextTextPublication details: Amsterdam ; Boston : Elsevier/Morgan Kaufmann, ©2013.Edition: Rev. OpenCL 1.2 edDescription: 1 online resource (xv, 291 pages) : color illustrationsContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9780124058941
  • 0124058949
  • 9780124055209
  • 0124055206
  • 9780128016497
  • 0128016493
Subject(s): Additional physical formats: Print version:: Heterogeneous computing with OpenCL.DDC classification:
  • 005.13/3 23
LOC classification:
  • QA76.73.O213 H48 2013eb
Online resources:
Contents:
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.
Summary: "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.
Holdings
Item type Current library Collection Call number Status Date due Barcode Item holds
eBook eBook e-Library EBSCO Computers Available
Total holds: 0

Includes bibliographical references and index.

"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.

Print version record.

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.

Added to collection customer.56279.3

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