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DTSTAMP:20210916T132454Z
LOCATION:Mère Royaume
DTSTART;TZID=Europe/Stockholm:20210708T180000
DTEND;TZID=Europe/Stockholm:20210708T183000
UID:submissions.pasc-conference.org_PASC21_sess200_msa339@linklings.com
SUMMARY:Multiprecision Algorithms and Strategies for Mixed Precision Algeb
 raic Multigrid Solvers and Preconditioners
DESCRIPTION:Minisymposium\n\nMultiprecision Algorithms and Strategies for 
 Mixed Precision Algebraic Multigrid Solvers and Preconditioners\n\nOsei-Ku
 ffuor, Yang, Falgout\n\nRecent trends in HPC architecture design suggests 
 that data motion and memory capacity are becoming the limiting factors in 
 high performance computing. To efficiently utilize current HPC hardware fo
 r scientific application development, it is becoming increasingly essentia
 l to design strategies with better bandwidth utilization and optimize how 
 we perform floating point calculations. The significant discrepancy in com
 putational throughput between the different levels of precision in HPC har
 dware, has led to renewed interest in the use of floating point computing 
 to design efficient HPC algorithms. In the linear algebra community, taske
 d-based mixed-precision techniques have gained some attention as an import
 ant tool for designing efficient and numerically stable linear algebra ker
 nels and algorithms. This talk will discuss some of our recent efforts in 
 mixed-precision algorithm development, including efforts towards mixed-pre
 cision algebraic multigrid solvers and preconditioners within the hypre li
 near solver library.\n\nDomain: CS and Math, Emerging Applications, Physic
 s, Engineering
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