SCHEDULE: NOV 16-22, 2013
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High Performance Computing for Irregular Algorithms and Applications
SESSION: Doctoral Showcase - Dissertation Research
EVENT TYPE: Doctoral Showcase - Dissertation Research Showcase
TIME: 2:15PM - 2:30PM
SESSION CHAIR: Alistair Rendell
Presenter(s):Oded Green
ROOM:601/603
ABSTRACT:
Irregular algorithms such as graph algorithms, sorting, and sparse matrix multiplication present numerous programming challenges that include scalability, load balancing, and efficient memory utilization. The advent of Big Data increases the challenges of analyzing massive data sets such as Facebook and Twitter which change constantly. Thus, the continuous updating of the analytics of such data sets proves to be a big challenge. One such solution has been through the usage of special HPC systems like the Cray XMT. My current research focuses upon creating new algorithms for irregular algorithms with a particular emphasis on graph analytics which allow monitoring of different types of networks. For example, Betweenness Centrality (BC) is an important analytic used to find key players in social networks. However, computing BC usually requires more time than the characteristic time in which the graph is updated thus making the entire process virtually useless.
Chair/Presenter Details:
Alistair Rendell (Chair) - Australian National University
Oded Green - Georgia Institute of Technology
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