Using GPUs for Lightning Fast Analytics on MapD

Location update: Holekamp Classroom

We'll learn about MapD - a powerful platform for visualizing large datasets.

GPU-powered in-memory databases and analytics platforms are the logical successors to CPU in-memory systems, largely due to recent increases in the onboard memory available on GPUs. With sufficient memory, GPUs possess numerous advantages over CPUs, including much greater compute and memory bandwidth, as well as a native graphics pipeline for visualization.

In this tutorial, Aaron Williams, VP of Community at MapD, will demo how MapD is able to leverage multiple GPUs per server to extract orders-of-magnitude performance increases over CPU-based systems, bringing interactive querying and visualization to multi-billion (with a ‘b’) row datasets.

Agenda

6:00 pm: Check-in, grab pizza and drinks, meet MapD team and community members
6:30 pm: Welcoming talk from GeoSTL Organizers
Aaron shows MapD demo
7:20 pm: Q&A from the audience
7:40 pm: Networking

Speaker Bio
Name: Aaron Williams
Company: MapD Technologies
Title: VP of Global Community
LinkedIn: https://www.linkedin.com/in/aaronwilliams
Twitter: https://twitter.com/arw

Aaron is responsible for MapD’s developer, user, and open source communities. He comes to MapD with more than two decades of previous success building ecosystems around some of software’s most familiar platforms. Most recently he ran the global community for Mesosphere, including leading the launch and growth of DC/OS as an open source project. Prior to that he led the Java Community Process at Sun Microsystems, and ecosystem programs at SAP. Aaron has also served as the founding CEO of two startups in the entertainment space. Aaron has an MS in Computer Science and BS in Computer Engineering from Case Western Reserve University.

https://www.mapd.com/
Check out their GitHub Repos: https://github.com/mapd

Bring a computer, notebook, and your thinking caps.