Advanced In-Database Analytics [GPU-Accelerated UDFs]

Welcome:

Welcome to the GPU-Accelerated Computing Meetup at Kinetica's office on Tuesday, February 28th.

Come see how a GPU-accelerated, in-memory, distributed analytic database now allows 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.

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.

Location:

Kinetica Office (https://maps.google.com/maps?q=1%20Sansome%2C%20Suite%203440%2C%20San%20Francisco%2C%20CA)

1 Sansome, Suite 3440, San Francisco, CA

Agenda:

6:00pm - Doors open

6:00pm-6:45pm - Meet & Greet / Happy Hour

6:45-7:45 - Advanced In-Database Analytics [GPU-Accelerated UDFs] with Mark Brooks, Kinetica

Mark is the Principal Systems Engineer at Kinetica, with more than twenty years of experience designing and developing distributed systems.

7:45-8:00 - Q&A