ParaLearn
Narges Bani Asadi, Christopher W. Fletcher, Greg Gibeling, Eric Glass, Karen Sachs, Daniel Burke, Zoey Zhou, John Wawrzynek, Wing H. Wong, Garry P. Nolan · 2010
ParaLearn is a scalable, parallel FPGA-based system for learning interaction networks using Bayesian statistics. ParaLearn includes problem specific parallel/scalable algorithms, system software and hardware architecture to address this complex problem.