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Using CUDA device functions from OpenACC

OpenACC enables rapid transition of serial C/C++/Fortran into GPU-enabled parallel code. However, due to high-level nature, OpenACC does not offer access to GPU-s...

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Software Engineering

OpenACC workshop at the Univeristy of Mainz

Applied Parallel Computing LLC has delivered the OpenACC Workshop at the University of Mainz, Germany. The workshop has been kindly supported by NVIDIA and Fluidy...

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CUDA-like runtime interface for Xeon Phi

The performance power of GPUs could be exposed to applications using two principal kinds of programming interfaces: with manual parallel programming (CUDA or Open...

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Software Engineering

OpenACC workshop at HLRN

Applied Parallel Computing LLC has delivered the OpenACC Workshop at Der Norddeutsche Verbund für Hoch- und Höchstleistungsrechnen (HLRN), Germany. The workshop h...

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2-day OpenACC Course at the Karlsruhe Institute of Technology

Applied Parallel Computing LLC has delivered 2-day OpenACC Course at the Karlsruhe Institute of Technology, Germany. The workshop has been kindly supported by NVI...

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New 3-day Training Course on Image Processing with CUDA

GPUs are particularly powerful in compute-intensive image processing and may serve in many environments requiring realtime operation, such as video surveillance, ...

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3-day Course on Image Processing with CUDA at Shvabe

Applied Parallel Computing LLC has delivered the 3-day Course on Image Processing with CUDA at Shvabe (State Institute of Applied Optics), Kazan, Russia.

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OpenACC workshop at TU Dresden

Applied Parallel Computing LLC has delivered the OpenACC Workshop at the Technical University of Dresden, Germany. The workshop has been kindly supported by NVIDI...

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Porting the legacy Fortran code onto GPUs at CERN

Applied Parallel Computing LLC presents a joint initiative with CERN researchers on possible legacy Fortran code modernization for NVIDIA GPUs. The talk covers th...

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OpenMP 4.0 on NVIDIA CUDA GPUs

Multiple presentations about OpenMP 4.0 support on NVIDIA GPUs date back to 2012. There is however still very limited OpenMP 4.0 production-ready tools availabili...

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