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SCHEDULE: NOV 16-21, 2014
When viewing the Technical Program schedule, on the far righthand side is a column labeled "PLANNER." Use this planner to build your own schedule. Once you select an event and want to add it to your personal schedule, just click on the calendar icon of your choice (outlook calendar, ical calendar or google calendar) and that event will be stored there. As you select events in this manner, you will have your own schedule to guide you through the week.
Enabling Scalable Data Analysis of Computational Structural Biology Datasets on Distributed Memory Systems Supported by the MapReduce Paradigm
SESSION: Doctoral Showcase - Dissertation Research I
EVENT TYPE: Doctoral Showcase
TIME: 11:30AM - 11:45AM
SESSION CHAIR: Karen L. Karavanic
Presenter(s):Boyu Zhang
ROOM:386-87
ABSTRACT:
In this research project, we focus on scalable and accurate classification and clustering analyses of large computational structure biology datasets on large distributed memory systems. We propose a transformative data analysis method that comprises of two general steps. The first step extracts concise properties or features of each data record in parallel and represents them as metadata. The second step performs the analysis (i.e., classification or clustering) on the extracted properties. Our method naturally fits in the MapReduce paradigm; we adapt it for different MapReduce frameworks (i.e., Hadoop, MapReduce-MPI, and DataMPI). We use the frameworks for three scientific datasets of RNA secondary structures, ligand conformations, and folding proteins. The evaluation results show that our method can perform scalable classification and clustering analyses on large-scale datasets that are generated and stored in a distributed manner. Moreover, our method achieves better accuracy comparing to the traditional approaches.
Chair/Presenter Details:
Karen L. Karavanic (Chair) - Portland State University
Boyu Zhang - University of Delaware
Click here to download .ics calendar file
