Overview on Optimizing Python Based Spectroscopic Data Processing On Nersc Supercomputers Scipy 2019
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Solving Spectroscopic Problems with Pythonic Workflows and Deep Learning | SciPy 2020 | Kelvin Lee
Day 2 SciPy Tools Plenary Session | SciPy 2019 |
Turning HPC Systems into Interactive Data Analysis Platforms | SciPy 2019 | A. Banihirwe
CuPy: A NumPy Compatible Library for High Performance Computing with GPU | SciPy 2019 | SciPy 2019 |
Reproducible Data Science in Python | Scipy 2019 Tutorial | Xu Fei, Chandrasekhar Ramakrishnan
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Last Updated: September 27, 2026
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Summary
This talk is a case study that describes how a Over the past year, and for the first time since its creation, At the National Energy Research Scientific Computing ( With the advent of next generation radio telescopes and laboratory instrumentation, This talk demonstrates how to use Dask and Jupyter on large high-performance computing (HPC) systems to scale and accelerate ... CuPy is an open-source library which has The expectation of reproducibility in scientific work has been long established, and, increasingly, communities and funding ...
Optimizing Python Based Spectroscopic Data Processing On Nersc Supercomputers Scipy 2019.pdf
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