Integrating CUDA into a Large-Scale Commercial Database Management System Richard Wilton, Tamas Budavari, Alex Szalay – The Johns Hopkins University
In a large-scale database installation where data tables are distributed across multiple servers, computational throughput can be optimized by using GPUs on each server and integrating database management with GPU resources. In the Department of Physics and Astronomy at The Johns Hopkins University, we are experimenting with a set of software tools that closely couple SQL statements with GPU functionality. While still under development, the new framework is now routinely used in our research projects, e.g., to study the spatial clustering of galaxies as well as genomics.
link: http://nvidia.fullviewmedia.com/gtc2010/0922-k-2069.html
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