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VERSION:2.0
METHOD:PUBLISH
CALSCALE:GREGORIAN
X-WR-TIMEZONE:America/New_YORK
BEGIN:VEVENT
ORGANIZER:MAILTO:webcentral@uc.edu
DTSTART:20220216T180000Z
DTEND:20220216T190000Z
LOCATION: This session will be presented virtually
UID:20260422T020824Z@uc.edu
DTSTAMP:20260422T020824Z
SUMMARY:Accelerating Time-To-Science - NVIDIA GPUs in Higher Education and Research
DESCRIPTION:<p>The computational power available to students and researchers today is unprecedented. With NVIDIA GPU accelerators, yesterday&rsquo;s supercomputer have shrunken down to a single workstation. Most of the GPU activity on campus was traditionally found in engineering and computer science programs. But AI and data science have since permeated all disciplines on campus, bringing GPUs alongside them.</p>

<p>This workshop is intended to expose you to GPUs in the higher education space. You&rsquo;ll learn how researchers are using GPUs to accelerate data science, AI, and traditional simulation. We&rsquo;ll discuss some of the computational advantages of GPUs, and how you might begin using one to accelerate your own work. No prerequisite knowledge on GPUs is required to benefit from this session.</p>

PRIORITY:5
CLASS:PUBLIC
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