Publication Details
Title: Quicknet on MultiSpert: Fast Parallel Neural Network Training
Author: P. Färber
Group: ICSI Technical Reports
Date: December 1997
PDF: ftp://ftp.icsi.berkeley.edu/pub/techreports/1997/tr-97-047.pdf
Overview:
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.
Bibliographic Information:
ICSI Technical Report TR-97-047
Bibliographic Reference:
P. Färber. Quicknet on MultiSpert: Fast Parallel Neural Network Training. ICSI Technical Report TR-97-047, December 1997
Author: P. Färber
Group: ICSI Technical Reports
Date: December 1997
PDF: ftp://ftp.icsi.berkeley.edu/pub/techreports/1997/tr-97-047.pdf
Overview:
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.
Bibliographic Information:
ICSI Technical Report TR-97-047
Bibliographic Reference:
P. Färber. Quicknet on MultiSpert: Fast Parallel Neural Network Training. ICSI Technical Report TR-97-047, December 1997