Using GPUs for Lightning Fast Analytics on MapD

For our next MaptimeLA event, 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.

If you’re attending FOSS4G NA, feel free to join one of the MapD sessions: https://goo.gl/b97xps

Agenda:
6:00 pm: Check-in, grab pizza and drinks, meet MapD team and community members

6:30 pm: Welcome and MapD demo

7:20 pm: Q&A from 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.

What is Maptime?
Maptime is, rather literally, time for mapmaking. Our mission is to open the doors of cartographic possibility to anyone interested by creating a time and space for collaborative learning, exploration, and map creation using mapping tools and technologies.

This open learning environment for all levels and degrees of knowledge offers intentional support for the beginner. Maptime is simultaneously flexible and structured, creating space for workshops, ongoing projects with a shared goal, and independent/collaborative work time.

Inspiration for Maptime comes from both hack nights and knitting circles. Both are models of spaces for people to create and learn together. Our goal is to provide this space with an open heart and without pretension. You can bring your own projects to work on, or just hang out and socialize or ask questions. Some people are experts, and some people are just getting started, but all of us are learning, so why not do it together?