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GTC ON-DEMAND

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Abstract:

map-D makes big data interactive for anyone! map-D is a super-fast GPU database that allows anyone to interact and visualize streaming big data in real time. Its unique architecture runs 70-1,000x faster than other in-memory databases or big data analytics platforms. To boot, it works with any size or kind of dataset; works with data that is streaming live on to the system; uses cheap, off-the-shelf hardware; is easily scalable.map-D is focused on learning from big data. At the moment, the map-D team is working on projects with MIT CSAIL, the Harvard Center for Geographic Analysis and the Harvard-Smithsonian Center for Astrophysics. Join Todd Mostak and Tom Graham, key members of the map-D team, as they demonstrate the speed and agility of map-D and describe the live processing, search and mapping of over 1 billion tweets.

map-D makes big data interactive for anyone! map-D is a super-fast GPU database that allows anyone to interact and visualize streaming big data in real time. Its unique architecture runs 70-1,000x faster than other in-memory databases or big data analytics platforms. To boot, it works with any size or kind of dataset; works with data that is streaming live on to the system; uses cheap, off-the-shelf hardware; is easily scalable.map-D is focused on learning from big data. At the moment, the map-D team is working on projects with MIT CSAIL, the Harvard Center for Geographic Analysis and the Harvard-Smithsonian Center for Astrophysics. Join Todd Mostak and Tom Graham, key members of the map-D team, as they demonstrate the speed and agility of map-D and describe the live processing, search and mapping of over 1 billion tweets.

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Topics:
Databases, Data Mining, Business Intelligence, Defense
Type:
Webinar
Event:
GTC Webinars
Year:
2014
Session ID:
GTCE073
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Abstract:

Map-D (Massively Parallel Database) uses multiple NVIDIA GPUs to interactively query and visualize big data in real-time. Map-D is an SQL-enabled column store that generates 70-400X speedups over other in-memory databases. This talk discusses the basic architecture of the system, the advantages and challenges of running queries on the GPU, and the implications of interactive and real-time big data analysis in the social sciences and beyond.

Map-D (Massively Parallel Database) uses multiple NVIDIA GPUs to interactively query and visualize big data in real-time. Map-D is an SQL-enabled column store that generates 70-400X speedups over other in-memory databases. This talk discusses the basic architecture of the system, the advantages and challenges of running queries on the GPU, and the implications of interactive and real-time big data analysis in the social sciences and beyond.

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Topics:
HPC and Supercomputing
Type:
Talk
Event:
Supercomputing
Year:
2013
Session ID:
SC3115
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