122x Filetype PDF File size 2.89 MB Source: sea.ucar.edu
Python for High Performance Computing Monte Lunacek Research Computing, University of Colorado Boulder University of Colorado • Some tightly-coupled MPI codes • Many independent tasks • Diverse computing backgrounds • Geography • Ecology and Evolutionary Biology • Microbial Ecology • Astronomy • Geology • Range of computational experience 02 High Throughout Computing • Simulations • Monte Carlo • Parameter scan • Uncertainty Quantification • Parameter Optimization • Data Analysis (MapReduce) • Parallel workflows 03 Supercomputing Without the Pain • Accessible to anyone with: • Simulation or analysis to run • Desire to do it faster • Remove barriers to entry 04
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