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SUMMARY:An Approach to Large Scale Computing of Problems form Science and 
 Technology - Gabriel  Wittum (Goethe-Universität Frankfurt)
DTSTART:20160609T080000Z
DTEND:20160609T100000Z
UID:TALK66406@talks.cam.ac.uk
CONTACT:INI IT
DESCRIPTION:Numerical simulation has become one of the major topics in Com
 putational Science. To promote modelling and simulation of complex problem
 s new strategies are needed allowing for the solution of large\, complex m
 odel systems. Crucial issues for such strategies are reliability\, efficie
 ncy\, robustness\, usability\, and versatility.<br>After discussing the ne
 eds of large-scale simulation we point out basic simulation strategies suc
 h as adaptivity\, parallelism and multigrid solvers. To allow adaptive\, p
 arallel computations the load balancing problem for dynamically changing g
 rids has to be solved efficiently by fast heuristics. These strategies are
  combined in the simulation system UG (&ldquo\;Unstructured Grids&rdquo\;)
  being presented in the following.<br>In the second part of the seminar we
  show the performance and efficiency of this strategy in various applicati
 ons. In particular\, large scale parallel computations of density-driven g
 roundwater flow in heterogenous porous media are discussed in more detail.
  Load balancing and efficiency of parallel adaptive computations is discus
 sed and the benefit of combining parallelism and adaptivity is shown.<br>
LOCATION:Seminar Room 1\, Newton Institute
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