Parallel Performance of GTM Dimension Reduction

Abstract

Research on Parallel Performance of GTM Dimension Reduction

Intellectual Merit

Performance study of parallel GTM algorithm is important to process large scale data for data mining.

Broader Impact

GTM dimension reduction has many potentials to be used in various fields, including cheminformatics and text mining.

Use of FutureGrid

Research for Parallel Performance of GTM Dimension Reduction

Scale Of Use

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

Publications


FG-58
Jong Youl Choi
Indiana University
Active

Keywords

benchmarking, gtm, mpi, parallel

Timeline

1 year 49 weeks ago