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LOCATION:D173
DTSTART;TZID=America/Chicago:20181111T153000
DTEND;TZID=America/Chicago:20181111T155500
UID:submissions.supercomputing.org_SC18_sess163_ws_works109@linklings.com
SUMMARY:DagOn*: Executing Direct Acyclic Graphs as Parallel Jobs on Anythi
 ng
DESCRIPTION:Raffaele Montella and Diana Di Luccio (Parthenope University o
 f Naples) and Sokol Kosta (Aalborg University, Copenhagen)\n\nThe democrat
 ization of computational resources, thanks to the advent of public, privat
 e, and hybrid clouds, changed the rules in many science fields. For decade
 s, one of the effort of computer scientists and computer engineers was the
  development of tools able to simplify access to high-end computational re
 sources by computational scientists. However, nowadays any science field c
 an be considered “computational” as the availability of powerful, but easy
  to manage workflow engines, is crucial. In this work, we present DagOn* (
 Direct acyclic graph On anything), a lightweight Python library implementi
 ng a workflow engine able to execute parallel jobs represented by direct a
 cyclic graphs on any combination of local machines, on-premise high perfor
 mance computing clusters, containers, and cloud-based virtual infrastructu
 res. We use a real-world production-level application for weather and mari
 ne forecasts to illustrate the use of this new workflow engine.\n\nTag: Re
 producibility, Scientific Computing, Scientific Workflows, Workflows, HPC,
  Data Intensive\n\nRegistration Category: Workshop Reg Pass\n\n
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