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18%
Porting CUDA to HIP
15.11.2019
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HPC
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.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
18%
Radeon Open Compute Ecosystem
22.12.2017
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2017
»
Issue 42: Secur...
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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
21%
Gidel Announces Developer Tools for Intel HLS
16.11.2017
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HPC
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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
16%
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
18%
AMD’s Greg Stoner on ROCm
31.10.2017
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HPC
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Articles
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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
19%
Discovering ROCm
18.10.2017
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HPC
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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
15%
Virtual environments in Windows Server
09.08.2015
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2015
»
Issue 28: SSD RAID
»
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
25%
AMD Announces New Graphics Cards
09.04.2014
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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
23%
AMD SC13 Theater Talk Schedule
07.11.2013
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Vendors
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AMD
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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
17%
Exploring the Xeon Phi
05.11.2013
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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
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