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DTSTART:19700308T020000
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BEGIN:VEVENT
DTSTAMP:20230831T095747Z
LOCATION:Schwarzhorn
DTSTART;TZID=Europe/Stockholm:20230628T140000
DTEND;TZID=Europe/Stockholm:20230628T143000
UID:submissions.pasc-conference.org_PASC23_sess160_msa139@linklings.com
SUMMARY:Tunable Tasking in PARSEC for Numerical Linear Algebra Routines Us
 ed in HPC
DESCRIPTION:Minisymposium\n\nGeorge Bosilca (University of Tennessee)\n\nT
 his talk will show that a specialization of node-level load balancing for 
 each numerical linear algebra routine of the SLATE library is needed due t
 o intricacies of each routine. In particular, it will show an auto-tuned l
 ow-overhead loop scheduling strategy with customized data layouts speeds u
 p dense matrix factorizations on a heterogeneous node by a factor of 1.6x 
 and reduce performance variability across executions by up to 23.5%, witho
 ut a significant impact to numerical error. The customized techniques are 
 incorporated in the SLATE library and its associated PARSEC runtime.\n\nDo
 main: Computer Science, Machine Learning, and Applied Mathematics 
\n\nSes
 sion Chair: Vivek Kale (Sandia National Laboratories)
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