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METAQ: Bundle Supercomputing Tasks · Around

2017

METAQ: Bundle Supercomputing Tasks

Berkowitz, Evan

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We describe a light-weight system of bash scripts for efficiently bundling supercomputing tasks into large jobs, so that one can take advantage of incentives or discounts for requesting large allocations.

The software can backfill computational tasks, avoiding wasted cycles, and can streamline collaboration between different users.
It is simple to use, functioning similarly to batch systems like PBS, MOAB, and SLURM.

Built on

Adaptive Computing, Moab
2004
Earlier work this paper cites.
E. Berkowitz, METAQ
2016
Earlier work this paper cites.
Amy Nicholson, Evan Berkowitz, Chia Cheng Chang, M. A. Clark, Bálint Joó, Thorsten Kurth, Enrico Rinaldi, Brian Tiburzi, Pavlos Vranas, André Walker-Loud, PoS(LATTICE 2016) (2016), eprint hep-lat/1608.04793 , URL https://arxiv.org/abs/1608.04793
Original
2016
Earlier work this paper cites.
How usage is charged
2017
Earlier work this paper cites.

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Then

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Ken McElvain, Evan Berkowitz, Thorsten Kurth, André Walker-Loud, mpi_jm
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Evan Berkowitz, Chris Bouchard, Chia Cheng Chang, M.A. Clark, Bálint Joó, Thorsten Kurth, Christopher Monahan, Amy Nicholson, Kostas Orginos, Enrico Rinaldi, Pavlos Vranas, and André Walker-Loud (2017), eprint 1701.07559
2017
Closest in time.

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