Welcome to the GPU-Accelerated Computing Meetup hosted by Kinetica at The Square Bar & Kitchen on Tuesday, February 28th.
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.
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.
1707 Powell St, San Francisco, CA
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