implicitglobalgrid jl

We have hosted the application implicitglobalgrid jl in order to run this application in our online workstations with Wine or directly.

Quick description about implicitglobalgrid jl:

ImplicitGlobalGrid is an outcome of a collaboration of the Swiss National Supercomputing Centre, ETH Zurich (Dr. Samuel Omlin) with Stanford University (Dr. Ludovic R�ss) and the Swiss Geocomputing Centre (Prof. Yuri Podladchikov). It renders the distributed parallelization of stencil-based GPU and CPU applications on a regular staggered grid almost trivial and enables close to ideal weak scaling of real-world applications on thousands of GPUs [1, 2, 3]. ImplicitGlobalGrid relies on the Julia MPI wrapper (MPI.jl) to perform halo updates close to hardware limit and leverages CUDA-aware or ROCm-aware MPI for GPU-applications. The communication can straightforwardly be hidden behind computation [1, 3] (how this can be done automatically when using ParallelStencil.jl is shown in; a general approach particularly suited for CUDA C applications is explained in.

Features:

• Multi-GPU with three functions
• 50-lines Multi-GPU example
• Straightforward in-situ visualization / monitoring
• Seamless interoperability with MPI.jl
• CUDA-aware/ROCm-aware MPI support
• Module documentation callable from the Julia REPL / IJulia

Programming Language: Julia.
Categories: