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Creation time
100%
Living with multiple and many cores
14.03.2013
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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
92%
Radeon Open Compute Ecosystem
22.12.2017
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along that Linux sysop sensibility when I joined the ROCm project. AM: Isn't OpenCL an open source solution that supports GPU acceleration? GS: OpenCL is a solid solution; it solves a set of critical
83%
Secret Sauce
09.11.2017
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.).” The ROCm platform isn’t just for C++ derivatives like CUDA and HIP. The platform currently supports OpenCL and Python, and you can even embed assembly language into your GPU-accelerated programs. ROCm also
83%
Spending Moore's dividend
12.09.2013
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Lead Image © Lucy Baldwin, 123RF.com
. If you can fit your problem into the CUDA or OpenCL parallelism model, this option can be very attractive. A divergent yet equally powerful vision is Intel's Xeon Phi coprocessor – better described
83%
Exploring the New OpenMP Specification
14.03.2013
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language method or OpenCL, or maybe something built in that's supplied by your vendor, you couldn't get at the other eight SIMD lanes, or really seven – let's say it had eight. You could only work through
83%
Matlab-like tools for high-performance computing
16.05.2013
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http://atoms.scilab.org/ sciGPGPU http://atoms.scilab.org/toolboxes/sciGPGPU OpenCL code http://forge.scilab.org/index.php/p/sciCuda/ Wiki http
76%
Virtual environments in Windows Server
09.08.2015
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precise, Remote Desktop Services) and networking capabilities. Terminal Services has just two fairly minor changes for special situations. For example, Windows Terminal Server supports the OpenGL and OpenCL