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TZID:Europe/Stockholm
X-LIC-LOCATION:Europe/Stockholm
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:19700308T020000
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DTSTART:19701101T020000
RRULE:FREQ=YEARLY;BYMONTH=10;BYDAY=-1SU
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BEGIN:VEVENT
DTSTAMP:20220812T074335Z
LOCATION:Osaka Room
DTSTART;TZID=Europe/Stockholm:20220628T180000
DTEND;TZID=Europe/Stockholm:20220628T183000
UID:submissions.pasc-conference.org_PASC22_sess160_msa207@linklings.com
SUMMARY:Extreme-scale I/O and Storage Resources in Heterogeneous Modular S
 upercomputing Architectures
DESCRIPTION:Minisymposium\n\nExtreme-scale I/O and Storage Resources in He
 terogeneous Modular Supercomputing Architectures\n\nNeuwirth\n\nEmerging f
 rom the DEEP project series, the <em>Modular Supercomputing Architecture</
 em> (MSA) concept breaks with the traditional HPC system architecture appr
 oach (based on replicating many identical compute nodes, possibly integrat
 ing heterogeneous processing resources within each node) by integrating he
 terogeneous computing resources in a modular way at the system level. An M
 SA system consists of a collection of modules with different architecture 
 and/or performance characteristics, each of them being a homogenous cluste
 r of potentially large size. This approach brings substantial beneﬁts for 
 heterogeneous applications and workﬂows since each part can be run on exac
 tly matching computing resources, therefore improving the time to solution
  and energy use. In this talk, the MSA ecosystem for supporting extreme-sc
 ale application I/O and data-centric workflows will be highlighted. First,
  the latest hardware infrastructure, including the Scalable Storage Servic
 e Module (SSSM), the All-Flash Storage Module (AFSM) and Network-Attached 
 Memory (NAM), will be introduced. This discussion will be complemented by 
 an overview of the current status of MSA's software infrastructure to supp
 ort parallel I/O, data-centric workflows, and resiliency. The talk will co
 nclude with an overview of ongoing EU research projects involving MSA and 
 future research directions, including managing data heterogeneity, data sc
 alability, and data placement.\n\nDomain: Climate, Weather and Earth Scien
 ces, Computer Science and Applied Mathematics
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