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The International Workshop for OpenCL (IWOCL, which is pronounced "eye-wok-ul") was conceived in a meeting between Simon McIntosh-Smith and Ben Bergen at the Los Alamos National Laboratory on May 8th 2012. McIntosh-Smith and Bergen lamented that there were no organized workshops or meetings for the rapidly growing OpenCL community. After testing this idea with colleagues over the next few months, they decided to create the kind of OpenCL conference they wanted to go to themselves, and thus IWOCL was born.
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The International Workshop for OpenCL (IWOCL, which is pronounced "eye-wok-ul") was conceived in a meeting between Simon McIntosh-Smith and Ben Bergen at the Los Alamos National Laboratory on May 8th, 2012. McIntosh-Smith and Bergen lamented that there were no organized workshops or meetings for the rapidly growing OpenCL community. After testing this idea with colleagues over the next few months, they decided to create the kind of OpenCL conference they wanted to go to themselves, and thus IWOCL was born. Since then, the trend to develop heterogeneous and parallel programs in C++ has grown strongly, a trend addressed by the SYCL standard, which, like OpenCL, is also from the Khronos group. This year IWOCL has evolved into IWOCL / SYCLcon, to embrace the growing importance of SYCL in the wider community.
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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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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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