Parallel Performance of MDS Dimension Reduction Method

Project Information

Discipline
Computer Science (401) 
Orientation
Research 
Abstract

Parallel performance analysis of MDS with parallel implementations.

Intellectual Merit

MDS is an useful tool for data visualization, and the parallel implementation of an MDS algorithm is a critical issue to deal with large-scale data visualization.

Broader Impacts

Since MDS algorithms use pairwise dissimilarity information as an input, it can be used for visualization of abstract data sets as well as data represented by feature vectors.

Project Contact

Project Lead
Seung-Hee Bae (sebae) 
Project Manager
Seung-Hee Bae (sebae) 

Resource Requirements

Hardware System
  • india (IBM iDataPlex at IU)
 
Use of FutureGrid

I need a test bed for my research on parallel performance of MDS Dimension Reduction.

Scale of Use

If possible, I want to use as many nodes as possible for performance study of Parallel MDS Dimension Reduction

Project Timeline

Submitted
04/05/2012 - 15:45 
»