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HPC and PBS job orchestration
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About High-performance computing · from Wikipedia
High-performance computing (HPC) is the use of supercomputers and computer clusters to solve advanced problems.
Summary from Wikipedia ↗, CC BY-SA 4.0.
Related work
- Semantic extraction pipeline Key work
Scale: the work ran on JAIST's KAGAYAKI HPC / PBS cluster as batch jobs submitted through PBS, the cluster's job scheduler.
- Galactic merger-history clustering Key work
The work is in Python and runs on HPC / PBS infrastructure, because the stellar datasets are large.
- Faint stellar structure detection Key work
Machine-learning models built with AutoGluon, run on HPC / PBS infrastructure, find faint structures of stars around galaxies, such as streams and shells left behind by past mergers.
- Galactic archaeology paper (in preparation)
Both ran in Python on HPC / PBS infrastructure. Until the paper is out, the site describes the methods and leaves the results out.