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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.

DIRECTIONS:

http://stationhouston.com/contact/

"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."

PARKING:

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- https://www.downtownhouston.org/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.