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...
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...
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...
The performance power of GPUs could be exposed to applications using two principal kinds of programming interfaces: with manual parallel programming (CUDA or Open...
Applied Parallel Computing LLC has delivered the OpenACC Workshop at Der Norddeutsche Verbund für Hoch- und Höchstleistungsrechnen (HLRN), Germany. The workshop h...
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...
GPUs are particularly powerful in compute-intensive image processing and may serve in many environments requiring realtime operation, such as video surveillance, ...
Applied Parallel Computing LLC has delivered the 3-day Course on Image Processing with CUDA at Shvabe (State Institute of Applied Optics), Kazan, Russia.
Applied Parallel Computing LLC has delivered the OpenACC Workshop at the Technical University of Dresden, Germany. The workshop has been kindly supported by NVIDI...
Applied Parallel Computing LLC presents a joint initiative with CERN researchers on possible legacy Fortran code modernization for NVIDIA GPUs. The talk covers th...
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...