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18%
AMD’s Greg Stoner on ROCm
31.10.2017
Home »  HPC  »  Articles  » 
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
18%
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
18%
Porting CUDA to HIP
15.11.2019
Home »  HPC  »  Articles  » 
.6 percent of the original code was either auto-converted or left unmodified. Figure 2 compares the complexity of the Caffe HIP port with the port to OpenCL
17%
Exploring the Xeon Phi
05.11.2013
Home »  Articles  » 
model, and thus the programming procedure, differs fundamentally from that of CPUs. As a consequence, existing programs cannot run directly on GPUs. Although the OpenCL parallel programming framework
16%
What's New at OpenMP
30.01.2013
Home »  HPC  »  Articles  » 
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
16%
Moore's Law Continues its Unwavering March
09.10.2013
Home »  HPC  »  Articles  » 
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 as a Linux
16%
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
16%
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
16%
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
16%
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

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