BEGIN:VCALENDAR
VERSION:2.0
PRODID:Linklings LLC
BEGIN:VTIMEZONE
TZID:Europe/Stockholm
X-LIC-LOCATION:Europe/Stockholm
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:19700308T020000
RRULE:FREQ=YEARLY;BYMONTH=3;BYDAY=-1SU
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:19701101T020000
RRULE:FREQ=YEARLY;BYMONTH=10;BYDAY=-1SU
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTAMP:20210916T132449Z
LOCATION:Ernesto Bertarelli
DTSTART;TZID=Europe/Stockholm:20210706T140000
DTEND;TZID=Europe/Stockholm:20210706T143000
UID:submissions.pasc-conference.org_PASC21_sess138_msa169@linklings.com
SUMMARY:Dynamic Load Balancing on Heterogeneous Architectures: An airplane
  Aerodynamics Use Case
DESCRIPTION:Minisymposium\n\nDynamic Load Balancing on Heterogeneous Archi
 tectures: An airplane Aerodynamics Use Case\n\nBorrell, Oyarzun, Garcia, M
 ira, Lehmkuhl...\n\nWe can affirm with quite a certainty that future Exasc
 ale systems will be based on heterogeneous architectures, including accele
 rators such as GPUs. We can also expect significant variability on the per
 formance of the computing devices engaged in a simulation; due to the expl
 osion of parallelism and to other technical aspects such as hardware-enfor
 ced mechanisms to preserve the thermal design limits. In this context, dyn
 amic load balancing becomes a must for the parallel efficiency of any simu
 lation code. In this paper, we present the dynamic load balancing strategy
  implemented in the computational mechanics code Alya. At the distributed 
 memory level, this is based on an SFC mesh partition which is adjusted at 
 runtime according to time measurements. Complementarily, other runtime mec
 hanisms are used at the shared memory space. This strategy is applied for 
 the efficient exploitation of heterogeneous CPU/GPU architectures. The ass
 essment of the performance of all the proposed strategies has been carried
  out for airplane simulations on the POWER9 architecture accelerated with 
 NVIDIA Volta V100 GPUs.\n\nDomain: CS and Math, Physics, Engineering
END:VEVENT
END:VCALENDAR
