Elmer is an open source multiphysical simulation software mainly developed by CSC - IT Center for Science (CSC). Elmer development was started 1995 in collaboration with Finnish Universities, research institutes and industry. After it's open source publication in 2005, the use and development of Elmer has become international. This track provides an introduction to and advanced training for Elmer.
This track focuses on software engineering techniques for HPC environments. Apart from parallel programming techniques also accelerator cards and profiling techniques and tools are in the focus of this track. Attendees will acquire deep insight into efficiently programming and developing optimized software for x86-CPUs, Intel Xeon Phi and GPGPUs with OpenMP, OpenCL and CUDA.
Elmer is an open source multiphysical simulation software mainly developed by CSC - IT Center for Science (CSC). Elmer development was started 1995 in collaboration with Finnish Universities, research institutes and industry. After it's open source publication in 2005, the use and development of Elmer has become international. This track provides an introduction to and advanced training for Elmer.
This track focuses on software engineering techniques for HPC environments. Apart from parallel programming techniques also accelerator cards and profiling techniques and tools are in the focus of this track. Attendees will acquire deep insight into efficiently programming and developing optimized software for x86-CPUs, Intel Xeon Phi and GPGPUs with OpenMP, OpenCL and CUDA.
This track focuses on software engineering techniques for HPC environments. Apart from parallel programming techniques also accelerator cards and profiling techniques and tools are in the focus of this track. Attendees will acquire deep insight into efficiently programming and developing optimized software for x86-CPUs, Intel Xeon Phi and GPGPUs with OpenMP, OpenCL and CUDA.
Elmer is an open source multiphysical simulation software mainly developed by CSC - IT Center for Science (CSC). Elmer development was started 1995 in collaboration with Finnish Universities, research institutes and industry. After it's open source publication in 2005, the use and development of Elmer has become international. This track provides an introduction to and advanced training for Elmer.
This track focuses on software engineering techniques for HPC environments. Apart from parallel programming techniques also accelerator cards and profiling techniques and tools are in the focus of this track. Attendees will acquire deep insight into efficiently programming and developing optimized software for x86-CPUs, Intel Xeon Phi and GPGPUs with OpenMP, OpenCL and CUDA.
Elmer is an open source multiphysical simulation software mainly developed by CSC - IT Center for Science (CSC). Elmer development was started 1995 in collaboration with Finnish Universities, research institutes and industry. After it's open source publication in 2005, the use and development of Elmer has become international. This track provides an introduction to and advanced training for Elmer.
This track focuses on software engineering techniques for HPC environments. Apart from parallel programming techniques also accelerator cards and profiling techniques and tools are in the focus of this track. Attendees will acquire deep insight into efficiently programming and developing optimized software for x86-CPUs, Intel Xeon Phi and GPGPUs with OpenMP, OpenCL and CUDA.
Elmer is an open source multiphysical simulation software mainly developed by CSC - IT Center for Science (CSC). Elmer development was started 1995 in collaboration with Finnish Universities, research institutes and industry. After it's open source publication in 2005, the use and development of Elmer has become international. This track provides an introduction to and advanced training for Elmer.
This track focuses on software engineering techniques for HPC environments. Apart from parallel programming techniques also accelerator cards and profiling techniques and tools are in the focus of this track. Attendees will acquire deep insight into efficiently programming and developing optimized software for x86-CPUs, Intel Xeon Phi and GPGPUs with OpenMP, OpenCL and CUDA.