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BEGIN:VEVENT
DTSTAMP:20250822T115806Z
LOCATION:Room 5.0B56
DTSTART;TZID=Europe/Stockholm:20250618T143000
DTEND;TZID=Europe/Stockholm:20250618T150000
UID:submissions.pasc-conference.org_PASC25_sess140_msa169@linklings.com
SUMMARY:Leveraging Workflow Provenance to Enhance FAIRness and Portability
  of Computational Experiments
DESCRIPTION:Raül Sirvent (Barcelona Supercomputing Center)\n\nWith Exaflop
  systems already here, the application communities are eager to leverage t
 hese large, heterogeneous and complex systems. Tools to simplify the devel
 opment, execution, and reuse of workflows are needed, to support the repro
 ducibility, portability and ease of use of complex workflows. COMPSs is a 
 task-based programming environment for distributed computing that supports
  the easy development of workflows. Thanks to features such as task requir
 ements specification, fault tolerance and task cancellation, the workflows
  can adapt to heterogeneous infrastructures and change their behaviour at 
 runtime. COMPSs also includes the capacity of recording details of the app
 lication’s execution as metadata (Workflow Provenance). With workflow prov
 enance, one is able to share not only the workflow application (i.e. the s
 ource code) but also the actual details of the workflow run (i.e. the data
 sets used as inputs, the outputs generated as results, and details on the 
 environment of the run). The Provenance is generated in COMPSs using a lig
 htweight approach that does not introduce overhead to the workflow executi
 on. This feature enables sharing FAIR workflows in public repositories, en
 abling their reproducibility. In addition, the COMPSs Reproducibility Serv
 ice, a tool that enables the automatic re-execution of previously shared e
 xperiments, will be also described.\n\nDomain: Physics\n\nSession Chair: O
 zgur Ozan Kilic (Brookhaven National Laboratory)\n\n
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