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:20220812T074335Z
LOCATION:Samarkand Room
DTSTART;TZID=Europe/Stockholm:20220629T123000
DTEND;TZID=Europe/Stockholm:20220629T130000
UID:submissions.pasc-conference.org_PASC22_sess157_msa184@linklings.com
SUMMARY:The Use of Filtering and Energy Minimization to Accelerate AMG in 
 Large Size Mechanical Problems
DESCRIPTION:Minisymposium\n\nThe Use of Filtering and Energy Minimization 
 to Accelerate AMG in Large Size Mechanical Problems\n\nCipolletta, Janna, 
 Spiezia, Rondina\n\nMultigrid methods are very well-known tools in scienti
 fic computing because of their capabilities in solving linear systems with
  nearly optimal convergence rates. In particular, in the field of computat
 ional mechanics, where one needs to solve large linear systems represented
  by sparse matrices, the Algebraic Multigrid (AMG) methods shine the most 
 because of their versatility and optimality. Due to those features, the AM
 G tools are very attractive in all the academic and industrial application
 s where large linear systems must be solved for several different geometri
 es, like in aerospace. On the other hand, the number of zeroes in a given 
 sparse matrix is important for the performance of the method. Therefore, t
 he field of structural mechanics, where the non-zeroes are usually of the 
 order of hundreds per row, naturally requires some improvement, like filte
 ring or energy minimization techniques. In this contribution, we will pres
 ent a series of structural analyses of publicly available aero-spatial geo
 metries, for example, the HIRENASD and NASA CRM. We will show the results 
 of structural analyses with the Chronos library and will assess the improv
 ements obtained with the aforementioned techniques. The tests were execute
 d on the davinci-1 cluster, the new HPC infrastructure of the Leonardo Com
 pany.\n\nDomain: Computer Science and Applied Mathematics, Engineering, Ph
 ysics
END:VEVENT
END:VCALENDAR