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OpenCL (Computer program language) --- Parallel computers. --- Parallel programming (Computer science) --- Computer programming --- Parallel processing (Electronic computers) --- Electronic digital computers --- Open CL (Computer program language) --- Open Computing Language (Computer program language) --- Programming languages (Electronic computers)
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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
Information Technology --- General and Others --- OpenCL (Computer program language) --- Parallel programming (Computer science) --- Computer programming --- Parallel processing (Electronic computers) --- Open CL (Computer program language) --- Open Computing Language (Computer program language) --- Programming languages (Electronic computers)
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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
Parallel programming (Computer science) --- OpenCL (Computer program language) --- Programmation parallèle (Informatique) --- OpenCL (Langage de programmation) --- Heterogeneous computing. --- OpenCL (Computer program language). --- Parallel programming (Computer science). --- Programmation parallèle (Informatique) --- Open CL (Computer program language) --- Open Computing Language (Computer program language) --- Programming languages (Electronic computers) --- Computer programming --- Parallel processing (Electronic computers)
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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 takes care of computation on a host, data transfer between a host and an FPGA, computation on an FPGA with a capable of accessing external DDR memories. In the step-by-step way, readers can understand followings: how to set up the design environment how to write better codes systematically considering architectural constraints how to design practical applications Provides readers with an overview and practical examples of OpenCL-based design methodologies for FPGA-based computing systems; Helps software engineers to understand systematically patterns of parallel processing and implement such patterns using OpenCL for FPGAs; Includes a variety of design examples of embedded applications such as image processing, and high-performance computing.
Engineering. --- Logic design. --- Microprocessors. --- Electronic circuits. --- Circuits and Systems. --- Processor Architectures. --- Logic Design. --- Field programmable gate arrays. --- OpenCL (Computer program language) --- Gate array circuits. --- Gate arrays --- Integrated circuits --- Open CL (Computer program language) --- Open Computing Language (Computer program language) --- Programming languages (Electronic computers) --- Field programmable logic arrays --- FPGAs --- Gate array circuits --- Programmable logic devices --- Systems engineering. --- Computer science. --- Design, Logic --- Design of logic systems --- Digital electronics --- Electronic circuit design --- Logic circuits --- Machine theory --- Switching theory --- Informatics --- Science --- Engineering systems --- System engineering --- Engineering --- Industrial engineering --- System analysis --- Design and construction --- Minicomputers --- Electron-tube circuits --- Electric circuits --- Electron tubes --- Electronics
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Learn how to accelerate C++ programs using data parallelism. Data parallelism in C++ enables access to parallel resources in a modern heterogeneous system, freeing you from being locked into any particular computing device. Now a single C++ application can use any combination of devices—including GPUs, CPUs, FPGAs and AI ASICs—that are suitable to the problems at hand. This open access book enables C++ programmers to be at the forefront of this exciting and important new development that is helping to push computing to new levels. It is full of practical advice, detailed explanations, and code examples to illustrate key topics. This book teaches data-parallel programming using C++ and the SYCL standard from the Khronos Group and walks through everything needed to use SYCL for programming heterogeneous systems. The book begins by introducing data parallelism and foundational topics for effective use of SYCL and Data Parallel C++ (DPC++), the open source compiler used in this book. Later chapters cover advanced topics including error handling, hardware-specific programming, communication and synchronization, and memory model considerations. You will learn: • How to accelerate C++ programs using data-parallel programming • How to target multiple device types (e.g. CPU, GPU, FPGA) • How to use SYCL and SYCL compilers • How to connect with computing’s heterogeneous future via Intel’s oneAPI initiative.
Programming languages (Electronic computers). --- Computer input-output equipment. --- Programming Languages, Compilers, Interpreters. --- Hardware and Maker. --- Computer hardware --- Computer I/O equipment --- Computers --- Electronic analog computers --- Electronic digital computers --- Hardware, Computer --- I/O equipment (Computers) --- Input equipment (Computers) --- Input-output equipment (Computers) --- Output equipment (Computers) --- Computer systems --- Computer languages --- Computer program languages --- Computer programming languages --- Machine language --- Electronic data processing --- Languages, Artificial --- Input-output equipment --- Programming Languages, Compilers, Interpreters --- Hardware and Maker --- Maker --- heterogenous --- FPGA programming --- GPU programming --- Parallel programming --- Data parallelism --- SYCL --- Intel One API --- Programming & scripting languages: general --- Compilers & interpreters --- Heterogeneous computing. --- C++ (Computer program language) --- OpenCL (Computer program language) --- Open CL (Computer program language) --- Open Computing Language (Computer program language) --- Programming languages (Electronic computers) --- Heterogeneous processing (Computers) --- High performance computing --- Parallel processing (Electronic computers)
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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 necessary.
OpenCL (Computer program language) --- Parallel programming (Computer science) --- Programming by example (Computer science) --- Open CL (Computer program language) --- Open Computing Language (Computer program language) --- Programming languages (Electronic computers) --- Demonstration, Programming by (Computer science) --- Demonstrational programming (Computer science) --- Examples, Programming by (Computer science) --- Inductive program synthesis (Computer science) --- Inductive synthesis (Computer science) --- Input/output examples, Programming by (Computer science) --- PBD (Programming by demonstration) --- PBE (Programming by example) --- Program synthesis, Inductive (Computer science) --- Programming by demonstration (Computer science) --- Programming by examples (Computer science) --- Programming by input/output examples (Computer science) --- Programming by teaching (Computer science) --- Programming, Demonstrational (Computer science) --- Teaching, Programming by (Computer science) --- Machine learning --- Computer programming --- Parallel processing (Electronic computers) --- Paraelle programming (Computer science) --- OpenCL (Langage de programmation) --- Programmation (Informatique)
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