Lecture: A Map Reduce based Parallel Neural Network for Large Scale Machine Learning-Home--Jiangsu University

Lecture: A Map Reduce based Parallel Neural Network for Large Scale Machine Learning

March 31, 2016

Lecture: A Map Reduce based Parallel Neural Network for Large Scale Machine Learning

2016-03-31

Prof.Maozhen Li

Friday, April 1, 2016, 08:30a.m.

Room 208 of the School of Computer Science and Communication Engineering

Brief Introduction

Maozhen Li is a Professor in the Department of Electronic and Computer Engineering at Brunel University London, UK. His research interests include High Performance Computing (HPC) including grid computing and cloud computing, big data analytics and intelligent systems. He has over 120 research publications including 4 books. He is on editorial board of a number of journals including journal of Cloud Computing, Computing and Informatics. He is a Fellow of the British Computer Society.

This lecture starts with a brief introduction to Map Reduce which has become a major computing model in support of big data analytics. It then looks at how a back-propagation neural network can be parallelized using the MapReduce model in enabling large scale machine learning. Three designs are considered in the parallelization process. Finally it evaluates the performance of the parallel neural network from the aspects of both computation efficiency and accuracy.