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100%
Living with multiple and many cores
14.03.2013
Home »  Archive  »  2013  »  Issue 13: IPv6...  » 
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
91%
Radeon Open Compute Ecosystem
22.12.2017
Home »  Archive  »  2017  »  Issue 42: Secur...  » 
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
82%
Secret Sauce
09.11.2017
Home »  Articles  » 
.).” 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
82%
Spending Moore's dividend
12.09.2013
Home »  Archive  »  2013  »  Issue 16: Docker  » 
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
82%
Exploring the New OpenMP Specification
14.03.2013
Home »  Archive  »  2013  »  Issue 13: IPv6...  » 
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
82%
Matlab-like tools for high-performance computing
16.05.2013
Home »  Archive  »  2013  »  Issue 14: Samba 4  » 
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
Home »  Archive  »  2015  »  Issue 28: SSD RAID  » 
Lead Image © Federico Caputo, 123RF.com
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
74%
Julia: A new language for technical computing
30.11.2025
Home »  Archive  »  2012  »  Issue 10: Traff...  » 
use to tinker with HPC? Many of the core HPC programming tools are often too low level for most domain specialists. Learning Fortran, C/C++, MPI, CUDA, or OpenCL is a tall order. These tools tend
73%
Introduction to OpenMP programming
31.10.2025
Home »  Archive  »  2012  »  Issue 12: NAS S...  » 
© Frank Rohde, 123RF.com
example of an accelerator is a GPU, so instead of learning CUDA or OpenCL, you can just use directives and let the compiler do the heavy lifting. Don't be surprised to see OpenMP and OpenACC merge [6

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