How do we make a computation practical when it outgrows one machine? That’s the question behind my research. I’m a Computer Science PhD student at Virginia Tech, working on high-performance computing and machine-learning systems.

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Recent news

May 2026

Internship at Oak Ridge National Laboratory.

May 2026

Successfully defended my MS thesis.

January 2026

Paper accepted to IPDPS 2026.

Recent publications

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2026

Looking for (Genomic) Needles in a Haystack: Sparsity-Driven Search for Identifying Correlated Genetic Mutations in Cancer

R Prabhu, E Vatai, B Moussad, E Jeannot, R Anandakrishnan, W Feng, M Wahib

IEEE International Parallel & Distributed Processing Symposium (IPDPS)

2025

ResearchBot: Bridging the Gap between Academic Research and Practical Programming Communities

S Farzanepour, S Rajeev, H Liang, R Prabhu, C Brown

IEEE/ACM International Workshop on Bots in Software Engineering (BotSE)

2025

Balancing Performance and Productivity: A Comparative Study of Apache Arrow vs. MPI

R Prabhu, W Feng

2025 IEEE High Performance Extreme Computing Conference (HPEC), 1–7

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