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OpenCL is an open standard for parallel programming in heterogeneous environments. ... OpenCL is a programming language for parallel environments. In this article, I look at how to get started with OpenCL. The example described here shows how to use OpenCL for parallel computations ... high-performance computing, HPC, parallel programming, GPU, OpenCL, graphics card ... We take a close look at how to integrate graphics processors into your parallel programs with OpenCL. ... Parallel Programming with OpenCL ... OpenCL

Semiconductor technology startup Adapteva is providing an early access release of its OpenCL SDK for the Epiphany multicore architecture. The OpenCL implementation was completed along with Brown ... Adapteva Announces OpenCL SDK

is intended for "4K workstations accelerated by OpenCL." The card comes with "2.62 TFLOPS double-precision of industry leading GPU compute power and ulta-high resolution (4K) multi-display capabilities

Wolfe, Compiler Engineer at PGI 4-5 PM Case Study: “Accelerating Full Waveform Inversion via OpenCL on AMD GPUs,” by Dan Cyca, Chief Technology Officer, Acceleware Ltd. 5-6 PM

development platform for developing applications accelerated by AMD APP technology. According to the announcement, APP SDK 2.8 includes new and improved samples and documentation for OpenCL, C++ AMP

– including OpenCL, OpenGL, DirectCompute, and C++ AMP. AMD invites experienced professionals and pioneers in heterogeneous computing to share their work and research findings at this event in the form

for traditional FPGA designers. Gidel’s development tools grant software developers easy access to the same level of OpenCL design for FPGA by tailoring the ASP(s), using C++ as the programing language. Developers

are largely CUDA [2] (NVidia hardware) and OpenCL [3] (NVidia, AMD GPUs, and x86 multicore). These tools often require deep re-writing of existing code to take advantage of GP-GPUs.The resultant code is often

. The programming tools are largely CUDA (NVidia hardware) and OpenCL (NVidia, AMD GPUs, and x86 multicore). These tools often require deep re-writing of exiting code to take advantage of GP-GPUs.The resultant code

supports Python Anaconda. Anaconda is a specialized version of Python tailored for scientific computing and large-scale data processing. ROCm also provides native support for the OpenCL (Open Compute