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:20190719T085744Z
LOCATION:HG F 3
DTSTART;TZID=Europe/Stockholm:20190612T170000
DTEND;TZID=Europe/Stockholm:20190612T173000
UID:submissions.pasc-conference.org_PASC19_sess129_msa290@linklings.com
SUMMARY:PyFR: High-Order Computational Fluid Dynamics with Python at Petas
 cale
DESCRIPTION:Minisymposium\nComputer Science and Applied Mathematics, Engin
 eering\n\nPyFR: High-Order Computational Fluid Dynamics with Python at Pet
 ascale\n\nVincent\n\nHigh-order numerical methods for unstructured grids c
 ombine the superior accuracy of high-order spectral or finite difference m
 ethods with the geometrical flexibility of low-order finite volume or fini
 te element schemes. The Flux Reconstruction (FR) approach unifies various 
 high-order schemes for unstructured grids within a single framework. Addit
 ionally, the FR approach exhibits a significant degree of element locality
 , and is thus able to run efficiently on modern many-core hardware platfor
 ms, such as Graphical Processing Units (GPUs). The aforementioned properti
 es of FR mean it offers a promising route to performing affordable, and he
 nce industrially relevant, scale-resolving simulations of hitherto intract
 able unsteady flows within the vicinity of real-world engineering geometri
 es. In this talk I will present PyFR (www.pyfr.org), an open-source Python
  based framework for solving fluid flow problems using the FR approach. Th
 e framework is designed to solve a range of governing systems on mixed uns
 tructured grids containing various element types. It is also designed to t
 arget various hardware platforms via use of a custom Mako-derived domain s
 pecific language. Results will be presented for both fundamental and appli
 ed flow problems, and petascale performance will be demonstrated on system
 s with 1000s of Nvidia GPUs.
END:VEVENT
END:VCALENDAR