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<td>[rc-announce] Call for Applications -- Accelerate Your
Code at the Princeton GPU Hackathon, June 2, 8-10, 2021</td>
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<td>Thu, 28 Jan 2021 14:51:26 -0500</td>
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<td>Gabe Perez-Giz <a class="moz-txt-link-rfc2396E" href="mailto:gabe.perezgiz@PRINCETON.EDU"><gabe.perezgiz@PRINCETON.EDU></a></td>
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<td>Gabe Perez-Giz <a class="moz-txt-link-rfc2396E" href="mailto:gabe.perezgiz@PRINCETON.EDU"><gabe.perezgiz@PRINCETON.EDU></a></td>
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<th valign="BASELINE" nowrap="nowrap" align="RIGHT">To: </th>
<td><a class="moz-txt-link-abbreviated" href="mailto:rc-announce@Princeton.EDU">rc-announce@Princeton.EDU</a></td>
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<p> Virtual Event: GPU Hackathon at Princeton<br>
Wednesday, June 2, 2021 (Prep day)<br>
Tuesday, June 8 - Thursday, June 10, 2021 (Main event)<br>
<br>
<br>
Graphics Processing Units (GPUs) offer high performance and
massive parallelization, but learning how to program GPUs for
scientific applications can be daunting. To help reduce the
barrier to entry, Princeton will host its 3rd annual GPU
hackathon, organized and sponsored by <a
href="https://www.nvidia.com/en-us/" moz-do-not-send="true">NVIDIA</a>,
<a href="https://www.olcf.ornl.gov/" moz-do-not-send="true">Oak
Ridge Leadership Computing Facility (OLCF)</a>, and <a
href="https://researchcomputing.princeton.edu/"
moz-do-not-send="true">Princeton Institute for Computational
Science & Engineering (PICSciE)and OIT Research Computing</a>.<br>
<br>
<br>
<strong>Interested research groups should apply to send a small
team of 3-6 developers</strong> who will be paired with
experienced GPU mentors from industry and various national
laboratories in order to help migrate their code to GPUs and/or
optimize codes already running on GPUs, all during a "prep day"
of code profiling and preliminaries followed by an intensive
3-day scrum. Prior experience with programming GPUs is not
required, but participants will be encouraged to get an overview
of different GPU programming paradigms prior to the hackathon
via training materials that will be provided in advance.<br>
<br>
<br>
A guide for what to expect as an attendee can be found <a
href="http://bit.ly/gpuhack2021_virtual_attendee_guide"
moz-do-not-send="true">here</a>. The <a
href="https://researchcomputing.princeton.edu/news/princeton-held-its-first-gpu-hackathon"
moz-do-not-send="true">2019 and 2020 GPU Hackathons at
Princeton</a> followed this format (in-person in 2019, virtual
in 2020), both with great success. All participating teams
achieved a code speedup of at least a factor of 5x, with some
teams gaining the equivalent of several hundred-x speedup for
their codes.<br>
<br>
<br>
All fields are welcome, from astrophysics to machine learning to
genomics. Although Princeton and Princeton-area teams will be
given priority, <strong>a Princeton affiliation is not required</strong>,
so please forward this announcement to interested colleagues
from neighboring institutions (partner GPU hackathons hosted in
other parts of the US and the world are listed at <a
href="https://gpuhackathons.org/events" moz-do-not-send="true">gpuhackathons.org/events</a>).
Prior hackathon participants are also welcome to apply -- repeat
customers are in fact encouraged! -- but such teams should
explicitly address in their applications the additional value
they hope to gain from attending the hackathon again.<br>
<br>
<br>
<strong>Please note that acceptance at this event is *not*
automatic.</strong> Space is limited, and applications will
be reviewed for goodness of fit with the goals and resources of
the hackathon (including the availability of appropriate mentors
for a given team). The (brief) application can be found at the <a
href="http://bit.ly/PUgpuhackathonapp2021"
moz-do-not-send="true">main GPU Hackathons application website</a>.<br>
<br>
<strong>APPLICATIONS MUST BE RECEIVED BY NOON (EST) ON FRIDAY,
MARCH 12, 2021</strong> for full consideration.<br>
<br>
Access to computing resources will be provided for the duration
of the hackathon, and there will be a virtual social event on
one of the hackathon days. Once final teams are selected (by
late April), the hackathon landing page will be filled in with
information on these details as well as information on
additional pre-event logistics.<br>
<br>
Finally, if you already have some GPU programming experience but
do not plan to submit an application, and if you would like the
opportunity to spend a week working with and learning from a
bevy of GPU experts, <strong>we will be looking for a handful
of "junior mentors" from the Princeton area</strong> to pair
up with teams at the hackathon. If you are interested in being a
junior mentor, or if you have any other questions, please
contact <a href="mailto:gabe.perezgiz@princeton.edu"
moz-do-not-send="true">Gabe Perez-Giz</a> directly.<br>
<br>
We look forward to your joining us for this unique training
opportunity!<br>
<br>
<br>
Gabe Perez-Giz<br>
<br>
Research Software & Computing Training Specialist,<br>
Princeton Institute for Computational Science & Engineering<br>
<a href="mailto:gabe.perezgiz@princeton.edu"
moz-do-not-send="true">gabe.perezgiz@princeton.edu</a><br>
(609) 258-9575</p>
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