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:20230831T095754Z
LOCATION:Sertig
DTSTART;TZID=Europe/Stockholm:20230627T140000
DTEND;TZID=Europe/Stockholm:20230627T153000
UID:submissions.pasc-conference.org_PASC23_sess182@linklings.com
SUMMARY:AP2C - ACM Papers Session 2C
DESCRIPTION:Paper\n\nScalable Multi-FPGA Design of a Discontinuous Galerki
 n Shallow-Water Model on Unstructured Meshes\n\nFPGAs are fostering intere
 st as energy-efficient accelerators for scientific simulations, including 
 for methods operating on unstructured meshes. Considering the potential im
 pact on high-performance computing, specific attention needs to be given t
 o the scalability of such approaches. In this contex...\n\n\nJennifer Faj 
 and Tobias Kenter (Paderborn University), Sara Faghih-Naini (University of
  Bayreuth), Christian Plessl (Paderborn University), and Vadym Aizinger (U
 niversity of Bayreuth)\n---------------------\nScaling Resolution of Gigap
 ixel Whole Slide Images Using Spatial Decomposition on Convolutional Neura
 l Networks\n\nGigapixel images are prevalent in scientific domains ranging
  from remote sensing, and satellite imagery to microscopy, etc. However, t
 raining a deep learning model at the natural resolution of those images ha
 s been a challenge in terms of both, overcoming the resource limit (e.g. H
 BM memory constrai...\n\n\nAristeidis Tsaris (Oak Ridge National Laborator
 y); Josh Romero and Thorsten Kurth (NVIDIA Inc.); and Jacob Hinkle, Hong-J
 un Yoon, Feiyi Wang, Sajal Dash, and Georgia Tourassi (Oak Ridge National 
 Laboratory)\n---------------------\nFPGA Acceleration for HPC Supercapacit
 or Simulations\n\nIn the search of more energy efficient computing devices
  that could be assembled to build future exascale systems, this study prop
 oses a chip to chip comparison between a CPU, a GPU and a FPGA, as well as
  a scalability study on multiple FPGAs from two of the available vendors. 
 The application consid...\n\n\nCharles Prouveur and Matthieu Haefele (CNRS
 ), Tobias Kenter (Paderborn University), and Nils Voss (Imperial College L
 ondon)\n\nDomain: Chemistry and Materials, Climate, Weather and Earth Scie
 nces, Computer Science, Machine Learning, and Applied Mathematics 
\n\nSes
 sion Chair: Mauro Bianco (ETH Zurich / CSCS)
END:VEVENT
END:VCALENDAR