Improving GPU Performance for Large-Scale Analytics


Presentation Abstract: 

Learn about the breakthrough level of performance GPUs deliver for large-scale analytics problems. See use cases, architectures and how the latest GPU-accelerated databases can both improve performance and reduce energy and data center costs.

Eaton will discuss the latest GPU-accelerated databases, graph analytics use cases and how all of this can fit into an existing workflow based on SPARK or HDFS.  



"We are at the corner of Polk and Fannin St. in Downtown Houston, located across from GreenStreet. We are 6 blocks away from Discovery Green, 3 blocks away from the Toyota Center and 2 blocks away from the nearest Metro LiteRail Station."


As per Station website- Greenstreet Garage at 1301 Main

Station has secured all-day parking for $5/day. For this rate, please request a validation ticket from Station Reception.
The Green street garage entrance is directly across the street from Station’s location in the Netrality building – Enter on Fannin between Polk and Clay.

For additional parking- 

Please type in 1301 Fannin St. with corresponding date and time of arrival (5PM).



Location: Station Houston
1301 Fannin St. Suite 2440
Houston , TX 77002

Date: June 1, 2017, 11:30 a.m. - June 1, 2017, 1:30 p.m.