June 1, 2017

Improving GPU Performance for Large-Scale Analytics

 

Station Houston
1301 Fannin St. Suite 2440
Houston, TX 77002
United States


Description

 

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).

 

 

Featured Speakers

Speaker: Joe Eaton
Speaker Joe Eaton

Joe is the technical lead for Accelerated Graph and Data Analytics at NVIDIA. Before, he was Chief Scientist at Object Reservoir, producing Finite-Element based 3phase reservoir simulations with automated adaptive meshing technology.  Next he worked as VP of Engineering at Algebraix Data, leading a development team to produce a high-performance …

Joe is the technical lead for Accelerated Graph and Data Analytics at NVIDIA. Before, he was Chief Scientist at Object Reservoir, producing Finite-Element based 3phase reservoir simulations with automated adaptive meshing technology.  Next he worked as VP of Engineering at Algebraix Data, leading a development team to produce a high-performance SPARQL query engine.  He joined  NVIDIA  in 2013 to work in the CUDA Libraries team on sparse linear algebra methods.


Joe holds a Ph.D. in Computational and Applied Mathematics from UT Austin, a Masters in Mechanical Engineering from Stanford, and a Bachelors in Mechanical Engineering from Rice University.   


Speaker Title:  Technical Lead, Accelerated Graph & Data Analytics


Speaker Company: NVIDIA


 

Full Description



Organizer

DATA ANALYTICS STUDY GROUP

Supriya Gupta - 857-264-9460


Yogashri Pradhan - 281-384-5661


 


2017 Events Sponsor:


 


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Speaker Files

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Location Files

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Date and Time

Thu, June 1, 2017

11:30 a.m. - 1:30 p.m.
(GMT-0600) US/Central

Event has ended
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Location

Station Houston

1301 Fannin St. Suite 2440
Houston, TX 77002
United States

 


 




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