David R. Kaeli – författare

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

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

The more rapid rate of increase in the speed of microprocessor technology than in memory speeds has created a serious 'memory gap' for computer designers and manufacturers. High Performance Memory Systems addresses this issue and examines all aspects of improving the memory system performance of general-purpose programs. Current research highlights from both industry and academia focus on: coherence, synchronization, and allocation; power-awareness, reliability, and reconfigurability; software-based memory tuning; architecture design issues; and workload considerations. Topics and features: Both hardware and software approaches to scalability and speed disparities are consideredIntroductory chapter provides broad examination of high performance memory systemsIncludes coverage of topics from several important international conferences.Edited by leading international authorities in the field, this new work provides a survey from researchers and practitioners on advances in technology, architecture, and algorithms that address scalability needs in multiprocessors and the expanding gap between CPU/network and memory speeds.It is ideally suited to researchers and R & D professionals with interests or practice in computer engineering, computer architecture, and processor architecture.

The most important uses of computing in the future will be those related to the global "digital convergence" where all computing becomes digital and inter-networked. This convergence will be propelled by new and advanced applications in storage, searching, retrieval and exchanging of information in a myriad of forms. All of these will place heavy demands on large parallel and distributed computer systems because these systems have high intrinsic failure rates. The challenge to the computer scientist is to build a system that is inexpensive, accessible and dependable. The chapters in this book provide insights into many of these issues and others that will challenge researchers and applications developers.Included among these topics are fault-tolerance in communication protocols for distributed systems (including synchronous and asynchronous group communication), methods and approaches for achieving fault-tolerance in distributed systems (such as those used in networks of workstations), dependable cluster systems and scalable-coherent-interfaces-based local-area multi-processors, general models and features of distributed safety-critical systems built from commercial off-the-shelf components as well as service dependability in telecomputing systems, dependable parallel systems for real-time processing of video signals, and embedding in faulty multi-processor systems, broadcasting, system-level testing techniques, on-line detection and recovery from intermittent and permanent faults. The book is a collection of chapters with contributions by experts working on fault-resilient applications. The numerous techniques and methods covered are of relevance to researchers, developers and graduate students.