Seminars & Events

Mathematics and Computer Science Division
"Distribution Based Analysis and Visualization of Large Scale Scientific Data"

DATE: August 16, 2012 to August 16, 2012
TIME: 10:30 AM - 11:30 AM
SPEAKER: Abon Chaudhuri, Ph.D. Candidate in the Computer Science & Engineering Department at The Ohio State University
LOCATION: Building 240, Conference Room 4301, Argonne National Laboratory
HOST: Tom Peterka

Description:
Distribution based analysis is becoming increasingly relevant in the context of large data. Distributions (represented in many forms such as histograms and kernel density estimations) provide a concise yet meaningful summary, which can be efficiently stored, searched and analyzed to derive insight about the original data. Moreover, distributions provide the basis of information theoretic and many other types of analysis.

This talk will describe our effort towards a parallel framework which supports scalable computation and accuracy analysis of data distributions at different levels of detail and resolution. It will also focus on our ongoing study on efficient compression and fast indexing of distributions. Case studies of performing distribution based in situ analysis and post-processing using NEK5000 and HACC simulation data will also be presented.

Bio:
Abon is a Ph.D. candidate in the Computer Science & Engineering department at The Ohio State University. He is broadly interested in analysis and visualization of large scale scientific data. His specific interests include flow visualization, fractal and information theoretic data analysis, query-driven visualization and geovisualization. He is advised by Dr. Han-Wei Shen.

Save the event to your calendar [schedule.ics]