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DTSTAMP:20250626T234542Z
LOCATION:B315
DTSTART;TZID=America/New_York:20241122T115100
DTEND;TZID=America/New_York:20241122T115800
UID:submissions.supercomputing.org_SC24_sess764_misc397@linklings.com
SUMMARY:Leveraging DOE infrastructure for Large-Scale Data Analysis in Col
 laborative Science
DESCRIPTION:Daniela Cassol (Lawrence Berkeley National Laboratory (LBNL))\
 n\nIn this talk, I will explore how the DOE Joint Genome Institute (JGI) a
 dvances large-scale genomics data generation while connecting the scientif
 ic community beyond sequence production. JGI can enable real-time explorat
 ion of vast datasets through collaborations with platforms such as the Nat
 ional Microbiome Data Collaborative (NMDC) and KBase. This is made possibl
 e by the infrastructure we are building to ensure that workflow analysis i
 s portable, reproducible, and shareable.<br /><br />The JGI Analysis Workf
 low Service (JAWS), a scalable, centralized framework is at the core of th
 is infrastructure. JAWS was developed to streamline the execution and mana
 gement of computational workflows across DOE resources by simplifying comp
 lex workflows in DOE high-performance computing (HPC) clusters and cloud e
 nvironments.<br /><br />This approach empowers scientists to rapidly ident
 ify patterns or filter results, leveraging HPC to expedite time-sensitive 
 analyses. JGI’s infrastructure is becoming increasingly relevant to suppor
 t urgent scientific efforts, from bioenergy research to addressing climate
  resilience.\n\nTag: Applications and Application Frameworks\n\nRegistrati
 on Category: Workshop Reg Pass\n\nSession Chairs: Bill Arndt (Lawrence Ber
 keley National Laboratory (LBNL), National Energy Research Scientific Comp
 uting Center (NERSC)); Nick Brown (Edinburgh Parallel Computing Centre (EP
 CC); University of Edinburgh, Scotland); Robert Henschel (Indiana Universi
 ty); and Albert Reuther (Massachusetts Institute of Technology (MIT), Linc
 oln Laboratory)\n\n
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