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DTSTAMP:20190719T085744Z
LOCATION:HG E 1.2
DTSTART;TZID=Europe/Stockholm:20190613T174500
DTEND;TZID=Europe/Stockholm:20190613T181500
UID:submissions.pasc-conference.org_PASC19_sess134_msa221@linklings.com
SUMMARY:The Challenges and Opportunities of Moving Computation to the Clou
 d
DESCRIPTION:Minisymposium\nComputer Science and Applied Mathematics, Solid
  Earth Dynamics\n\nThe Challenges and Opportunities of Moving Computation 
 to the Cloud\n\nHobro\n\nCloud computing presents many attractive opportun
 ities for providers of services based on large-scale data analysis and pro
 cessing. In the oilfield services sector, as in many other domains, there 
 are opportunities to improve cost, convenience and integration for clients
  as traditional, large-scale in-house applications and data management are
  replaced with cloud-based data services. The elasticity in computational 
 availability also presents opportunities for more rapid turnaround. Howeve
 r, cloud computational systems differ from traditional HPC systems in seve
 ral key respects including higher inter-node latency and network contentio
 n. This requires algorithms to be redesigned to reduce overall communicati
 on and, more importantly, synchronization. In this talk I describe some ap
 proaches to tackling these problems in the domain of seismic processing an
 d modelling.
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