Overview on Optimizing Python Based Spectroscopic Data Processing On Nersc Supercomputers Scipy 2019
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Turning HPC Systems into Interactive Data Analysis Platforms | SciPy 2019 | A. Banihirwe
Solving Spectroscopic Problems with Pythonic Workflows and Deep Learning | SciPy 2020 | Kelvin Lee
Inside NumPy: Preparing for the Next Decade | SciPy 2019 | Gommers, Picus, Reddy, van der Walt
apricot: Submodular Selection for Data Summarization | SciPy 2019 | Jacob Schreiber
freud: A Software Suite for High Throughput Analysis of Nanoscale Simulation Data | SciPy 2019 |
Numerical & Scientific Computing with SciPy : Overview of Optim & Gradient Desc Methd | packtpub.com
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Last Updated: September 25, 2026
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Summary
This talk is a case study that describes how a At the National Energy Research Scientific Computing ( This talk demonstrates how to use Dask and Jupyter on large high-performance computing (HPC) systems to scale and accelerate ... With the advent of next generation radio telescopes and laboratory instrumentation, Over the past year, and for the first time since its creation, Submodular selection can be used to reduce a complex Improvements in high-performance particle- This playlist/video has been uploaded for Marketing purposes and contains only selective videos. For the entire video course and ...
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