Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Rokas Maciulaitis"'
Autor:
Anna Trzcinska, Artemis Lavasa, Diego Rodriguez Rodriguez, Jan Okraska, Pamfilos Fokianos, Rokas Maciulaitis, Sebastian Stefan Feger, Stephanie Van De Sandt, Tibor Simko
In this paper we present the CERN Analysis Preservation service as a FAIR (Findable, Accessible, Interoperable and Reusable) research data preservation repository platform for LHC experiments. The CERN Analysis Preservation repository allows LHC coll
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2c9634c4d10014601b7648b4923e1e08
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
Publikováno v:
EPJ Web of Conferences, Vol 245, p 06041 (2020)
In this paper we introduce and study the feasibility of running hybrid analysis pipelines using the REANA reproducible analysis platform. The REANA platform allows researchers to specify declarative computational workflow steps describing the analysi
Publikováno v:
Journal of Physics: Conference Series. 898:092014
The Compact Muon Solenoid (CMS) experiment at the Large Hadron Collider (LHC) uses distributed grid computing to store, process, and analyse the vast quantity of scientific data recorded every year. The computing resources are grouped into sites and
Publikováno v:
Journal of Physics: Conference Series; 2017, Vol. 898 Issue 9, p1-1, 1p