Mughilan Muthupari

Intern Title

Computer Science Intern

Education

University of Maryland - College Park,
Computer Science and Statistics

Mentors

Laura Carriere

Terms with NCCS

Summer 2017

Role Description
  • Test the efficiency of the DASS system with respect to Visgpu02 using analytics of hourly temperature data.
  • Compared running times of multiple analytics processes on the Visgpu02 file system and EDAS/DASS platform using hourly temperature data of four analyses. Analytics included the per-month, per-season, and per-year average diurnal cycles of multiple cities such as Moscow and Melbourne. Finally, a simple time series was done using the DASS platform to showcase the extent of its capabilities.

Poster

Evaluating a New Analytics Platform Using the Diurnal Cycle of High Frequency Surface Temperature Data

Experience at NCCS

"It was pretty fun. The hyperwall was a cool thing to experience as well as the Jamboree halfway through."

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