| Project Number | Project Name | Project Lead | Institution |
Created |
Completed | |
|---|---|---|---|---|---|---|
| FG-426 | Comparison of Architectures to Support Deep Learning Applications | Scott McCaulay | Indiana University | 04/21/2014 | approved | |
| FG-457 | Deep Learning for Scene Understanding (3D, Functional, Semantics) | Abhinav Gupta | Carnegie Mellon Universiy | 09/26/2014 | approved |
The FutureGrid project is funded by the National Science Foundation (NSF) and is led by Indiana University with University of Chicago, University of Florida, San Diego Supercomputing Center, Texas Advanced Computing Center, University of Virginia, University of Tennessee, University of Southern California, Dresden, Purdue University, and Grid 5000 as partner sites. This material is based upon work supported in part by the National Science Foundation under Grant No. 0910812.
Futuregrid is a resource provider for XSEDE.