Token tenure: PATCHing token counting using directory-based cache coherence. - Arun Raghavan; Colin Blundell; Milo M. K. Martin (MICRO, 2008)

RETCON: transactional repair without replay. - Colin Blundell; Arun Raghavan; Milo M. K. Martin (ISCA, 2010)

Token tenure and PATCH: A predictive/adaptive token-counting hybrid. - Arun Raghavan; Colin Blundell; Milo M. K. Martin (ACM Trans. Archit. Code Optim., 2010)

Computational sprinting. - Arun Raghavan; Yixin Luo; Anuj Chandawalla; Marios C. Papaefthymiou; Kevin P. Pipe; Thomas F. Wenisch; Milo M. K. Martin (HPCA, 2012)

Computational sprinting on a hardware/software testbed. - Arun Raghavan; Laurel Emurian; Lei Shao; Marios C. Papaefthymiou; Kevin P. Pipe; Thomas F. Wenisch; Milo M. K. Martin (ASPLOS, 2013)

TRANSIT: specifying protocols with concolic snippets. - Abhishek Udupa; Arun Raghavan; Jyotirmoy V. Deshmukh; Sela Mador-Haim; Milo M. K. Martin; Rajeev Alur (PLDI, 2013)

Utilizing Dark Silicon to Save Energy with Computational Sprinting. - Arun Raghavan; Laurel Emurian; Lei Shao; Marios C. Papaefthymiou; Kevin P. Pipe; Thomas F. Wenisch; Milo M. K. Martin (IEEE Micro, 2013)

Designing for Responsiveness with Computational Sprinting. - Arun Raghavan; Yixin Luo; Anuj Chandawalla; Marios C. Papaefthymiou; Kevin P. Pipe; Thomas F. Wenisch; Milo M. K. Martin (IEEE Micro, 2013)

Rethinking SIMD Vectorization for In-Memory Databases. - Orestis Polychroniou; Arun Raghavan; Kenneth A. Ross (SIGMOD Conference, 2015)

Big Data Processing: Scalability with Extreme Single-Node Performance. - Venkatraman Govindaraju; Sam Idicula; Sandeep R. Agrawal; Venkatanathan Vardarajan; Arun Raghavan; Jarod Wen; Cagri Balkesen; Georgios Giannikis; Nipun Agarwal; Eric Sedlar (BigData Congress, 2017)

A many-core architecture for in-memory data processing. - Sandeep R. Agrawal; Sam Idicula; Arun Raghavan; Evangelos Vlachos; Venkatraman Govindaraju; Venkatanathan Varadarajan; Cagri Balkesen; Georgios Giannikis; Charlie Roth; Nipun Agarwal; Eric Sedlar (MICRO, 2017)

RAPID: In-Memory Analytical Query Processing Engine with Extreme Performance per Watt. - Cagri Balkesen; Nitin Kunal; Georgios Giannikis; Pit Fender; Seema Sundara; Felix Schmidt; Jarod Wen; Sandeep R. Agrawal; Arun Raghavan; Venkatanathan Varadarajan; Anand Viswanathan; Balakrishnan Chandrasekaran 003; et al. (SIGMOD Conference, 2018)

Wireless Hearables With Programmable Speech AI Accelerators. - Malek Itani; Tuochao Chen; Arun Raghavan; Gavriel Kohlberg; Shyamnath Gollakota (CoRR, 2025)