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of 3
pro vyhledávání: '"Irena Johnson"'
Autor:
Michael Hildreth, Cody Kankel, Tibor Simko, Irena Johnson, Scott S. Hampton, Kenyi Hurtado Anampa, Paul Brenner
Publikováno v:
EPJ Web of Conferences, Vol 245, p 07023 (2020)
High Performance Computing (HPC) facilities provide vast computational power and storage, but generally work on fixed environments designed to address the most common software needs locally, making it challenging for users to bring their own software
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::78fa98bd46f90f6fa0d3c40ff86a84ca
http://cds.cern.ch/record/2752301
http://cds.cern.ch/record/2752301
Autor:
Paul Brenner, Cody Kankel, Irena Johnson, Scott S. Hampton, Tibor Simko, Michael Hildreth, Kenyi Hurtado Anampa
Publikováno v:
EPJ Web of Conferences, Vol 245, p 09011 (2020)
The NSF-funded Scalable CyberInfrastructure for Artificial Intelligence and Likelihood Free Inference (SCAILFIN) project aims to develop and deploy artificial intelligence (AI) and likelihood-free inference (LFI) techniques and software using scalabl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::81d6a044a7adc30a17985ca67ea0f8d6
http://cds.cern.ch/record/2753439
http://cds.cern.ch/record/2753439
Autor:
Scott S. Hampton, Irena Johnson, Jan Okraska, Cody Kankel, Kenyi Hurtado Anampa, Tibor Simko, Diego Rodríguez, Michael Hildreth, Rokas Maciulaitis, Paul Brenner
Publikováno v:
eScience
REANA is a reusable and reproducible data analysis platform allowing researchers to structure their analysis pipelines and run them on remote containerised compute clouds. REANA supports several different workflows systems (CWL, Serial, Yadage) and u