Quicknet on MultiSpert: Fast Parallel Neural Network Training
| Title | Quicknet on MultiSpert: Fast Parallel Neural Network Training |
| Publication Type | Technical Report |
| Year of Publication | 1997 |
| Authors | Färber, P. |
| Other Numbers | 1111 |
| Abstract | The MultiSpert parallel system is a straight-forward extension of the Spert workstation accelerator, which is predominantly used in speech recognition research at ICSI. In order to deliver high performance for Artificial Neural Network training without requiring changes to the user interfaces, the existing Quicknet ANN library was modified to run on MultiSpert. In this report, we present the algorithms used in the parallelization of the Quicknet code and analyse their communication and computation requirements. The resulting performance model yields a better understanding of system speed-ups and potential bottlenecks. Experimental results from actual training runs validate the model and demonstrate the achieved performance levels. |
| URL | http://www.icsi.berkeley.edu/ftp/global/pub/techreports/1997/tr-97-047.pdf |
| Bibliographic Notes | ICSI Technical Report TR-97-047 |
| Abbreviated Authors | P. Färber |
| ICSI Publication Type | Technical Report |