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HPC and PBS job orchestration
Skill · infrastructure
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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.
In the knowledge graph
HPC / PBS and the 7 things it is linked to. Open any dot for its page, or explore it in the full graph.
As data
Everything on this page is read from triples in the knowledge graph. These are the 5 it states about HPC / PBS; the console runs SPARQL over the whole graph, here in your browser.
@prefix id: <https://ask.chaipat.cc/id/> . @prefix rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#> . @prefix cj: <https://ask.chaipat.cc/ns#> . @prefix rdfs: <http://www.w3.org/2000/01/rdf-schema#> . @prefix schema: <https://schema.org/> . id:HPC a cj:Skill ; rdfs:label "HPC and PBS job orchestration" ; cj:category "infrastructure" ; cj:shortLabel "HPC / PBS" ; schema:sameAs <https://en.wikipedia.org/wiki/High-performance_computing> .
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