| contributor author | I-Hsin Chung | |
| contributor author | Sainath, T.N. | |
| contributor author | Ramabhadran, B. | |
| contributor author | Pichen, M. | |
| contributor author | Gunnels, J. | |
| contributor author | Austel, V. | |
| contributor author | Chauhari, U. | |
| contributor author | Kingsbury, B. | |
| date accessioned | 2020-03-12T22:31:07Z | |
| date available | 2020-03-12T22:31:07Z | |
| date issued | 2014 | |
| identifier other | 7013048.pdf | |
| identifier uri | https://libsearch.um.ac.ir:443/fum/handle/fum/1085706?locale-attribute=fa&show=full | |
| format | general | |
| language | English | |
| publisher | IEEE | |
| title | Parallel Deep Neural Network Training for Big Data on Blue Gene/Q | |
| type | Conference Paper | |
| contenttype | Metadata Only | |
| identifier padid | 8223233 | |
| subject keywords | cooling | |
| subject keywords | n network servers | |
| subject keywords | n power consumption | |
| subject keywords | n bare silicon die | |
| subject keywords | n construction costs | |
| subject keywords | n cooling demands | |
| subject keywords | n cooling superfluous spaces | |
| subject keywords | n critical heat flux | |
| subject keywords | n energy waste | |
| subject keywords | n four-die arrangement | |
| subject keywords | n high input power solution | |
| subject keywords | n high performance liquid immersion cooled server model | |
| subject keywords | n modular liquid immersion cooled server model | |
| subject keywords | n next generation servers | |
| subject keywords | n power consumption | |
| subject keywords | n server rooms | |
| subject keywords | n small form factor liquid immersion cooled server model | |
| subject keywords | n two-ph | |
| identifier doi | 10.1109/SEMI-THERM.2014.6892208 | |
| journal title | igh Performance Computing, Networking, Storage and Analysis, SC14: International Conference for | |
| filesize | 587567 | |
| citations | 0 | |