Heterogeneous Computing With Opencl 2 0

Author: David R. Kaeli
Editor: Morgan Kaufmann
ISBN: 0128016493
File Size: 27,24 MB
Format: PDF, Mobi
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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

Author: Benedict Gaster
Editor: Newnes
ISBN: 0124058949
File Size: 55,24 MB
Format: PDF
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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 a range of fundamental parallel algorithms. 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, Heterogeneous Computing with OpenCL explores memory spaces, optimization techniques, graphics interoperability, extensions, and debugging and profiling. It includes detailed examples throughout, plus additional online exercises and other supporting materials that can be downloaded at http://www.heterogeneouscompute.org/?page_id=7 This book will appeal to software engineers, programmers, hardware engineers, and students/advanced students. Explains principles and strategies to learn parallel programming with OpenCL, from understanding the four abstraction models to thoroughly testing and debugging complete applications. Covers image processing, web plugins, particle simulations, video editing, performance optimization, and more. Shows how OpenCL maps to an example target architecture and explains some of the tradeoffs associated with mapping to various architectures Addresses a range of fundamental programming techniques, with multiple examples and case studies that demonstrate OpenCL extensions for a variety of hardware platforms

Compiler Construction

Author: Jens Knoop
Editor: Springer
ISBN: 3642198619
File Size: 29,93 MB
Format: PDF, Docs
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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 task and data distribution.

Programming Massively Parallel Processors

Author: David B. Kirk
Editor: Newnes
ISBN: 0123914183
File Size: 14,92 MB
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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

Parallel Programming With Intel Parallel Studio Xe

Author: Stephen Blair-Chappell
Editor: John Wiley & Sons
ISBN: 0470891653
File Size: 42,49 MB
Format: PDF
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Annotation Almost all computerssold todaysupport parallel programmingdue to the advances in multicore architechture. This meansprogramming for multicoreprocessors has become amust have skill for todays programmers. Many program developers know they must'go parallel', but don't knowthe best steps to take. This book is a 'standalone, ' teach-yourself, hands-on tutorial for Windows CC++ programmers. Althoughsome theory is briefly covered, much of the book covershow to apply tools, techniques and language extensions to implement parallelism. The bookteaches the programmer how to write programs for multicore andhelps CC++ windows programmers to leverage the power of multicore in their programs. The book alsoincludes several use-cases based on real-world examples. The authorwill highlight the challenges of the particular project, and how the developer can overcome these issues. Specific examples covered are: Conversion of serial code to parallel Implementing Intel Parallel studio Benefits of using parallel code Error tuning and performance optimization of code Features 6 hands on case studies illustrating techniques of advanced parallel programming situations.

Opencl Programming Guide

Author: Aaftab Munshi
Editor: Pearson Education
ISBN: 9780132594554
File Size: 36,76 MB
Format: PDF, Kindle
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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 five leading OpenCL authorities, OpenCL Programming Guide covers the entire specification. It reviews key use cases, shows how OpenCL can express a wide range of parallel algorithms, and offers complete reference material on both the API and OpenCL C programming language. Through complete case studies and downloadable code examples, the authors show how to write complex parallel programs that decompose workloads across many different devices. They also present all the essentials of OpenCL software performance optimization, including probing and adapting to hardware. Coverage includes Understanding OpenCL’s architecture, concepts, terminology, goals, and rationale Programming with OpenCL C and the runtime API Using buffers, sub-buffers, images, samplers, and events Sharing and synchronizing data with OpenGL and Microsoft’s Direct3D Simplifying development with the C++ Wrapper API Using OpenCL Embedded Profiles to support devices ranging from cellphones to supercomputer nodes Case studies dealing with physics simulation; image and signal processing, such as image histograms, edge detection filters, Fast Fourier Transforms, and optical flow; math libraries, such as matrix multiplication and high-performance sparse matrix multiplication; and more Source code for this book is available at https://code.google.com/p/opencl-book-samples/

Architecture Of Computing Systems Arcs 2019

Author: Martin Schoeberl
Editor: Springer
ISBN: 3030186563
File Size: 68,13 MB
Format: PDF, Docs
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This book constitutes the proceedings of the 32nd International Conference on Architecture of Computing Systems, ARCS 2019, held in Copenhagen, Denmark, in May 2019. The 24 full papers presented in this volume were carefully reviewed and selected from 40 submissions. ARCS has always been a conference attracting leading-edge research outcomes in Computer Architecture and Operating Systems, including a wide spectrum of topics ranging from embedded and real-time systems all the way to large-scale and parallel systems. The selected papers are organized in the following topical sections: Dependable systems; real-time systems; special applications; architecture; memory hierarchy; FPGA; energy awareness; NoC/SoC. The chapter 'MEMPower: Data-Aware GPU Memory Power Model' is open access under a CC BY 4.0 license at link.springer.com.

Signal And Information Processing Networking And Computers

Author: Songlin Sun
Editor: Springer
ISBN: 9811075212
File Size: 33,76 MB
Format: PDF, Docs
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This proceedings book presents the latest research in the fields of information theory, communication system, computer science and signal processing, as well as other related technologies. Collecting selected papers from the 3rd Conference on Signal and Information Processing, Networking and Computers (ICSINC), held in Chongqing, China on September 13-15, 2017, it is of interest to professionals from academia and industry alike.

Predictable High Performance Data Management Leveraging System Resource Characteristics To Efficiently Improve Performance And Predictability

Author: Tim Kaldewey
Editor:
ISBN:
File Size: 70,60 MB
Format: PDF, ePub, Docs
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Applied Reconfigurable Computing

Author: Christian Hochberger
Editor: Springer
ISBN: 3030172279
File Size: 48,65 MB
Format: PDF, Docs
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This book constitutes the proceedings of the 15th International Symposium on Applied Reconfigurable Computing, ARC 2019, held in Darmstadt, Germany, in April 2019. The 20 full papers and 7 short papers presented in this volume were carefully reviewed and selected from 52 submissions. In addition, the volume contains 1 invited paper. The papers were organized in topical sections named: Applications; partial reconfiguration and security; image/video processing; high-level synthesis; CGRAs and vector processing; architectures; design frameworks and methodology; convolutional neural networks.

Materials Transportation And Environmental Engineering Ii

Author: Jimmy Chih Ming Kao
Editor: Trans Tech Publications Ltd
ISBN: 3038266329
File Size: 12,47 MB
Format: PDF, Kindle
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Collection of selected, peer reviewed papers from the 2014 the 2nd International Conference on Materials, Transportation and Environmental Engineering (CMTEE 2014), July 30-31, 2014, Kunming, China. The 587 papers are grouped as follows: Chapter 1: Materials and Chemical Engineering and Technologies, Chapter 2: Environmental Materials, Biomaterials and Technologies, Chapter 3: Energy and Thermal Engineering, Environmental Engineering, Chapter 4: Civil and Building Engineering, Structural and Geotechnical Engineering, Applied Mechanics, Chapter 5: Research and Design of Industrial Facilities and Technologies, Chapter 6: Recent Technologies in Mechatronics, Control and Automation, Chapter 7: Communication and Information Technologies, Algorithms and Numerical Methods of Data Processing, Chapter 8: Traffic, Road and Transportation Engineering, Chapter 9: Biomedical Engineering, Chapter 10: Urban Planning, Sustainable City and Green Building Applications, Chapter 11: Management Engineering, Business and Economics Engineering, Chapter 12: New Technologies in Education and Sports