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GTC ON-DEMAND

HPC and Supercomputing
Presentation
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Map-D: GPU-Powered Databases and Interactive Social Science Research in Real Time
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.

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