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Map-D: GPU-Powered Social Science Research in Real Time

In this video from the Nvidia booth at SC13, Tom Graham presents: Map-D: GPU-Powered Databases and Interactive Social Science Research in Real Time.

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.

Download the slides (PDF)

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