BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//pretalx//pretalx.com//scipy-2026//talk//SPXK7T
BEGIN:VTIMEZONE
TZID:CST
BEGIN:STANDARD
DTSTART:20001029T030000
RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=10;UNTIL=20061029T080000Z
TZNAME:CST
TZOFFSETFROM:-0500
TZOFFSETTO:-0600
END:STANDARD
BEGIN:STANDARD
DTSTART:20071104T030000
RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11
TZNAME:CST
TZOFFSETFROM:-0500
TZOFFSETTO:-0600
END:STANDARD
BEGIN:DAYLIGHT
DTSTART:20000402T030000
RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=4;UNTIL=20060402T090000Z
TZNAME:CDT
TZOFFSETFROM:-0600
TZOFFSETTO:-0500
END:DAYLIGHT
BEGIN:DAYLIGHT
DTSTART:20070311T030000
RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3
TZNAME:CDT
TZOFFSETFROM:-0600
TZOFFSETTO:-0500
END:DAYLIGHT
END:VTIMEZONE
BEGIN:VEVENT
UID:pretalx-scipy-2026-SPXK7T@pretalx.com
DTSTART;TZID=CST:20260713T080000
DTEND;TZID=CST:20260713T120000
DESCRIPTION:GPU-powered math libraries are the core of accelerated scientif
 ic computing.  The nvmath-python package aims to provide intuitive pythoni
 c APIs giving users full access to all features offered by NVIDIA's librar
 ies in a variety of execution spaces.  It is your one-stop shop for Python
 ic math libraries on the GPU.\n\nInstallation Instructions: We will provid
 e Nvidia Brev cloud instances.  Attendees will only need their laptops and
  an Internet connection.
DTSTAMP:20260715T023005Z
LOCATION:Accelerated Computing
SUMMARY:Accelerated Python Math Libraries (Room HSEC 2-110) - Katrina Riehl
URL:https://pretalx.com/scipy-2026/talk/SPXK7T/
END:VEVENT
END:VCALENDAR