• Home
  • Heterogeneous Computing with OpenCL 2 0

Heterogeneous Computing with OpenCL 2 0

Heterogeneous Computing with OpenCL 2 0
  • Author : David R. Kaeli
  • Publsiher : Morgan Kaufmann
  • Release : 18 June 2015
  • ISBN : 0128016493
  • Pages : 330 pages
  • Rating : 4/5 from 21 ratings
GET THIS BOOKHeterogeneous Computing with OpenCL 2 0

Summary:
Heterogeneous Computing with OpenCL 2.0 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). This fully-revised edition includes the latest enhancements in OpenCL 2.0 including: • Shared virtual memory to increase programming flexibility and reduce data transfers that consume resources • Dynamic parallelism which reduces processor load and avoids bottlenecks • Improved imaging support and integration with OpenGL Designed to work on multiple platforms, OpenCL will help you more effectively program for a heterogeneous future. Written by leaders in the parallel computing and OpenCL communities, this book explores memory spaces, optimization techniques, extensions, debugging and profiling. Multiple case studies and examples illustrate high-performance algorithms, distributing work across heterogeneous systems, embedded domain-specific languages, and will give you hands-on OpenCL experience to address a range of fundamental parallel algorithms. Updated content to cover the latest developments in OpenCL 2.0, including improvements in memory handling, parallelism, and imaging support Explanations of principles and strategies to learn parallel programming with OpenCL, from understanding the abstraction models to thoroughly testing and debugging complete applications Example code covering image analytics, web plugins, particle simulations, video editing, performance optimization, and more


Heterogeneous Computing with OpenCL 2.0

Heterogeneous Computing with OpenCL 2.0
  • Author : David R. Kaeli,Perhaad Mistry,Dana Schaa,Dong Ping Zhang
  • Publisher : Morgan Kaufmann
  • Release : 18 June 2015
GET THIS BOOKHeterogeneous Computing with OpenCL 2.0

Heterogeneous Computing with OpenCL 2.0 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). This fully-revised edition includes the latest enhancements in OpenCL 2.0 including: • Shared virtual memory to increase programming flexibility and reduce data transfers that consume resources • Dynamic parallelism which reduces processor load and avoids bottlenecks • Improved imaging support and integration with OpenGL Designed to work on multiple platforms, OpenCL will help you more


Heterogeneous Computing with OpenCL

Heterogeneous Computing with OpenCL
  • Author : Benedict Gaster,Lee Howes,David R. Kaeli,Perhaad Mistry,Dana Schaa
  • Publisher : Elsevier
  • Release : 30 September 2011
GET THIS BOOKHeterogeneous Computing with OpenCL

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


Heterogeneous Computing with OpenCL

Heterogeneous Computing with OpenCL
  • Author : Benedict Gaster,Lee Howes,David R. Kaeli,Perhaad Mistry,Dana Schaa
  • Publisher : Newnes
  • Release : 31 December 2012
GET THIS BOOKHeterogeneous Computing with OpenCL

Heterogeneous Computing with OpenCL, Second Edition 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. It is the first textbook that presents OpenCL programming appropriate for the classroom and is intended to support a parallel programming course. Students will come away from this text with hands-on experience and significant knowledge of the syntax and use of OpenCL to address


OpenCL Programming Guide

OpenCL Programming Guide
  • Author : Aaftab Munshi,Benedict Gaster,Timothy G. Mattson,Dan Ginsburg
  • Publisher : Pearson Education
  • Release : 07 July 2011
GET THIS BOOKOpenCL Programming Guide

Using the new OpenCL (Open Computing Language) standard, you can write applications that access all available programming resources: CPUs, GPUs, and other processors such as DSPs and the Cell/B.E. processor. Already implemented by Apple, AMD, Intel, IBM, NVIDIA, and other leaders, OpenCL has outstanding potential for PCs, servers, handheld/embedded devices, high performance computing, and even cloud systems. This is the first comprehensive, authoritative, and practical guide to OpenCL 1.1 specifically for working developers and software architects. Written by





OpenCL Programming by Example

OpenCL Programming by Example
  • Author : Ravishekhar Banger,Koushik Bhattacharyya
  • Publisher : Packt Publishing Ltd
  • Release : 23 December 2013
GET THIS BOOKOpenCL Programming by Example

This book follows an example-driven, simplified, and practical approach to using OpenCL for general purpose GPU programming. If you are a beginner in parallel programming and would like to quickly accelerate your algorithms using OpenCL, this book is perfect for you! You will find the diverse topics and case studies in this book interesting and informative. You will only require a good knowledge of C programming for this book, and an understanding of parallel implementations will be useful, but not


Design of FPGA-Based Computing Systems with OpenCL

Design of FPGA-Based Computing Systems with OpenCL
  • Author : Hasitha Muthumala Waidyasooriya,Masanori Hariyama,Kunio Uchiyama
  • Publisher : Springer
  • Release : 24 October 2017
GET THIS BOOKDesign of FPGA-Based Computing Systems with OpenCL

This book provides wide knowledge about designing FPGA-based heterogeneous computing systems, using a high-level design environment based on OpenCL (Open Computing language), which is called OpenCL for FPGA. The OpenCL-based design methodology will be the key technology to exploit the potential of FPGAs in various applications such as low-power embedded applications and high-performance computing. By understanding the OpenCL-based design methodology, readers can design an entire FPGA-based computing system more easily compared to the conventional HDL-based design, because OpenCL for FPGA


Compiler Construction

Compiler Construction
  • Author : Jens Knoop
  • Publisher : Springer Science & Business Media
  • Release : 22 March 2011
GET THIS BOOKCompiler Construction

This book constitutes the refereed proceedings of the 20th International Conference on Compiler Construction, CC 2011, held in Saarbrücken, Germany, March 26—April 3, 2011, as part of ETAPS 2011, the European Joint Conferences on Theory and Practice of Software. The 15 revised full papers presented together with the abstract of one invited talk were carefully reviewed and selected from 52 submissions. The papers are organized in topical sections on JIT compilation and code generation, program analysis, reversible computing and interpreters, parallelism and high-performance computing, and



CUDA by Example

CUDA by Example
  • Author : Jason Sanders,Edward Kandrot
  • Publisher : Addison-Wesley Professional
  • Release : 19 July 2010
GET THIS BOOKCUDA by Example

CUDA is a computing architecture designed to facilitate the development of parallel programs. In conjunction with a comprehensive software platform, the CUDA Architecture enables programmers to draw on the immense power of graphics processing units (GPUs) when building high-performance applications. GPUs, of course, have long been available for demanding graphics and game applications. CUDA now brings this valuable resource to programmers working on applications in other domains, including science, engineering, and finance. No knowledge of graphics programming is required—just


Programming Massively Parallel Processors

Programming Massively Parallel Processors
  • Author : David B. Kirk,Wen-mei W. Hwu
  • Publisher : Morgan Kaufmann
  • Release : 24 November 2016
GET THIS BOOKProgramming Massively Parallel Processors

Programming Massively Parallel Processors: A Hands-on Approach, Third Edition shows both student and professional alike the basic concepts of parallel programming and GPU architecture, exploring, in detail, various techniques for constructing parallel programs. Case studies demonstrate the development process, detailing computational thinking and ending with effective and efficient parallel programs. Topics of performance, floating-point format, parallel patterns, and dynamic parallelism are covered in-depth. For this new edition, the authors have updated their coverage of CUDA, including coverage of newer libraries,


OpenCL Parallel Programming Development Cookbook

OpenCL Parallel Programming Development Cookbook
  • Author : Raymond Tay
  • Publisher : Packt Publishing Ltd
  • Release : 01 January 2013
GET THIS BOOKOpenCL Parallel Programming Development Cookbook

OpenCL Parallel Programming Development Cookbook will provide a set of advanced recipes that can be utilized to optimize existing code. This book is therefore ideal for experienced developers with a working knowledge of C/C++ and OpenCL.This book is intended for software developers who have often wondered what to do with that newly bought CPU or GPU they bought other than using it for playing computer games; this book is also for developers who have a working knowledge of


Heterogeneous System Architecture

Heterogeneous System Architecture
  • Author : Wen-mei W. Hwu
  • Publisher : Morgan Kaufmann
  • Release : 20 November 2015
GET THIS BOOKHeterogeneous System Architecture

Heterogeneous Systems Architecture - a new compute platform infrastructure presents a next-generation hardware platform, and associated software, that allows processors of different types to work efficiently and cooperatively in shared memory from a single source program. HSA also defines a virtual ISA for parallel routines or kernels, which is vendor and ISA independent thus enabling single source programs to execute across any HSA compliant heterogeneous processer from those used in smartphones to supercomputers. The book begins with an overview of