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GMD - Comparing the Performance of Julia on CPUs versus GPUs and Julia-MPI versus Fortran-MPI: a case study with MPAS-Ocean (Version 7 1)

Abstract. Some programming languages are easy to develop at the cost of slow execution, while others are fast at runtime but much more difficult to write. Julia is a programming language that aims to be the best of both worlds – a development and production language at the same time. To test Julia s utility in scientific high-performance computing (HPC), we built an unstructured-mesh shallow water model in Julia and compared it against an established Fortran-MPI ocean model, the Model for Prediction Across Scales–Ocean (MPAS-Ocean), as well as a Python shallow water code. Three versions of the Julia shallow water code were created: for single-core CPU, graphics processing unit (GPU), and Message Passing Interface (MPI) CPU clusters. Comparing identical simulations revealed that our first version of the Julia model was 13 times faster than Python using NumPy, where both used an unthreaded single-core CPU. Further Julia optimizations, including static typing and removing implicit mem

Online Survey Software Market size to grow by USD 4 39 billion between 2022 - 2027 | Market is Driven by Growing demand for real-time data collection and analysis- Technavio

Online Survey Software Market size to grow by USD 4 39 billion between 2022 - 2027 | Market is Driven by Growing demand for real-time data collection and analysis- Technavio

Online Survey Software Market size to grow by USD 4 39 billion between 2022 - 2027 | Market is Driven by Growing demand for real-time data collection and analysis- Technavio
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