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Using Python and Jupyter on Perlmutter
Day 2: Using Jupyter at NERSC and Best Practices
Running subprocesses in Python
05- Running Jobs
N-Ways to GPU Programming Bootcamp and Beyond for NERSC
05 Codee identification of defects in parallel code
Scientific Deep Learning on Perlmutter
06 Codee identification of defects in parallel code using MATMUL
Optimizing Python Based Spectroscopic Data Processing on NERSC Supercomputers | SciPy 2019 |
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Last Updated: August 15, 2026
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