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DTSTART:19700308T020000
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DTSTAMP:20190719T085744Z
LOCATION:HG F 1
DTSTART;TZID=Europe/Stockholm:20190612T170000
DTEND;TZID=Europe/Stockholm:20190612T173000
UID:submissions.pasc-conference.org_PASC19_sess145_msa194@linklings.com
SUMMARY:H-Matrix Accelerated Second Moment Analysis for Potentials with Ro
 ugh Correlation
DESCRIPTION:Minisymposium\nComputer Science and Applied Mathematics, Chemi
 stry and Materials, Physics, Engineering\n\nH-Matrix Accelerated Second Mo
 ment Analysis for Potentials with Rough Correlation\n\nDölz, Multerer, Har
 brecht\n\nWe consider the efficient solution of linear operator equations 
 with random right-hand side. The solution's two-point correlation can effi
 ciently be computed by means of a sparse grid or a low-rank approximation 
 if the two-point correlation of the right-hand side is sufficiently smooth
 . Unfortunately, the problem becomes much more involved in case of rough d
 ata. The H-matrix approach to correlation equations is a suitable alternat
 ive for rough data and has been applied to various problems in the literat
 ure. However, the approach itself is based on the H-matrix arithmetic, who
 se parallelization is rather involved. The talk will discuss the obstacles
  in the parallelization and present an alternative algorithm with improved
  properties for parallelization.
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