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EVENT DETAILS |
<P><STRONG>Welcome:</STRONG></P>
<P>Welcome to the GPU-Accelerated Computing Meetup hosted by Kinetica at The Square Bar & Kitchen on Tuesday, February 28th.</P>
<P>Kinetica has extended its GPU-accelerated, in-memory, distributed analytic database to allow third-party code (particularly GPU-based code) and machine learning libraries to be called as user-defined functions from within the database, with in-memory data sharing between the database and external code and libraries.</P>
<P><SPAN>The presentation will provide a technical deep dive into this integration, a demonstration of running code, and a discussion about the operational advantages to this approach. </SPAN></P>
<P><STRONG>Location:</STRONG><BR></P>
<P><A HREF="https://maps.google.com/maps?q=1707%20Powell%20St%2C%20San%20Francisco%2C%20CA" TARGET="_blank" REL="noopener noreferrer noopener nofollow noopener noreferrer nofollow nofollow noreferrer nofollow">The Square Bar & Kitchen</A></P>
<P>1707 Powell St, San Francisco, CA</P>
<P><STRONG>Agenda:</STRONG></P>
<P>6:00pm- Doors open</P>
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<P>6:00pm-6:45pm- Meet & Greet / Happy Hour</P>
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<P>6:45-7:45-<SPAN>Advanced In-Database Analytics [GPU-Accelerated UDFs] with Mark Brooks, Kinetica</SPAN></P>
<P><SPAN></SPAN>Mark is the Principal Systems Engineer at Kinetica, with more than twenty years of experience designing and developing distributed systems.</P>
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<P>7:45-8:00- Q&A</P>
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