About
Stephen Larew grew up in West Lafayette, IN and attends Purdue University as a sophomore in the School of Electrical and Computer Engineering. He has previously worked with Professor Martinez in the School of Materials Engineering at Purdue on controlled double emulsion breakup.
Stephen is working on optimizing an algorithm for detecting statistically significant clusters of events in space or space-time under Professor Ebert in the School of Electrical and Computer Engineering and with graduate student Ross Maciejewski. Current implementations of the algorithm on the CPU do not run quickly enough to be practical for use with large data sets. By employing modern, massively parallel graphics processors and GPGPU computing, Stephen hopes to achieve significant speed boosts which would allow immense data sets to be analyzed in feasible time frames.
Stephen is interested in future research in GPGPU computing as well as continuing his electrical engineering education. He plans to attend graduate school and eventually become a professor at a major research university. When he is not diligently researching and studying, Stephen likes to play sports, read, and practice piano.