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:20210916T132530Z
LOCATION:Mère Royaume
DTSTART;TZID=Europe/Stockholm:20210708T170000
DTEND;TZID=Europe/Stockholm:20210708T190000
UID:submissions.pasc-conference.org_PASC21_sess200@linklings.com
SUMMARY:Multiprecision Numerics in Scientific High Performance Computing, 
 Part II
DESCRIPTION:Minisymposium\n\nRecently, hardware manufacturers are respondi
 ng to an increasing request for low precision functionality such as FP16 b
 y integrating special low-precision functional units, e.g., NVIDIA Tensor 
 cores. These, however, remain unused even for compute-intensive applicatio
 ns if high precision is employed for all arithmetic operations. At the sam
 e time, communication-intensive applications suffer from the memory bandwi
 dth of architectures growing at a much slower pace than the arithmetic per
 formance. In both cases, a promising strategy is to abandon the high-preci
 sion standard (typically fp64), and employ lower or non-standard precision
  for arithmetic computations or memory operations whenever possible. While
  employing formats other than working precision can render attractive perf
 ormance improvements, it also requires careful consideration of the numeri
 cal effects. On the other end of the spectrum, precision formats with high
 er accuracy than the hardware-supported fp64 can be effective in improving
  the robustness and accuracy of numerical methods. With this breakout mini
 symposium, we aim to create a platform where those working with multipreci
 sion or interested in using multiprecision technology come together and sh
 are their expertise and experience.\n\nPerformance Measurement Techniques 
 with Mixed-Precision Solvers\n\nLuszczek\n\nBy adjusting the accuracy of t
 he operations in a parallel solver it is possible<br />to drastically incr
 ease the overall performance without much reduction in the<br />quality of
  the solution.  Regulating accuracy may come in form of mixed<br />pr
 ecision or approximations that take advantage of...\n\n-------------------
 --\nAssessing Posit in HPC Scientific Applications\n\nMarkidis, Chien, Pod
 obas, Jansson, Peng\n\nFloating-point operations can significantly impact 
 the accuracy and performance of scientific applications on large-scale par
 allel systems. Recently, the Posit format has attracted attention as an al
 ternative to the standard IEEE floating-point formats because it could ena
 ble higher precision than I...\n\n---------------------\nPerformance and A
 ccuracy of a Distributed, GPU-Enabled Sparse Direct Solver with Lower Prec
 ision Factorization\n\nLi\n\nAn active research area in numerical computat
 ion is to exploit lower precision for expensive calculations to obtain hig
 her performance, while achieving a higher level of accuracy. Lower precisi
 on often leads to faster flops, less memory and communication. We designed
  a mixed-precision sparse direct ...\n\n---------------------\nMultiprecis
 ion Algorithms and Strategies for Mixed Precision Algebraic Multigrid Solv
 ers and Preconditioners\n\nOsei-Kuffuor, 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 efficient
 ly utilize current HPC hardware for scientific application development, it
  is becoming increasingly essential to design strategies with ...\n\n\nDom
 ain: CS and Math, Emerging Applications, Physics, Engineering
END:VEVENT
END:VCALENDAR