HTM design spaces: complete decoupling from caches and achieving highly concurrent transactions. - Kunal Korgaonkar; K. George; M. Gautam; V. Kamakoti 001 (ACM SIGOPS Oper. Syst. Rev., 2009)

Reconstructing Hardware Transactional Memory for Workload Optimized Systems. - Kunal Korgaonkar; Prabhat Jain; Deepak Tomar; Kashyap Garimella; Veezhinathan Kamakoti (APPT, 2011)

The Implications of Shared Data Synchronization Techniques on Multi-Core Energy Efficiency. - Ashok Gautham; Kunal Korgaonkar; Patanjali SLPSK; Shankar Balachandran; Kamakoti Veezhinathan (HotPower, 2012)

Characterization of User's Behavior Variations for Design of Replayable Mobile Workloads. - Shruti Patil; Yeseong Kim; Kunal Korgaonkar; Ibrahim Awwal; Tajana Simunic Rosing (MobiCASE, 2015)

Density Tradeoffs of Non-Volatile Memory as a Replacement for SRAM Based Last Level Cache. - Kunal Korgaonkar; Ishwar Bhati; Huichu Liu; Jayesh Gaur; Sasikanth Manipatruni; Sreenivas Subramoney; Tanay Karnik; Steven Swanson; Ian Young 001; Hong Wang 003 (ISCA, 2018)

Vorpal: Vector Clock Ordering For Large Persistent Memory Systems. - Kunal Korgaonkar; Joseph Izraelevitz; Jishen Zhao; Steven Swanson (PODC, 2019)

The Bitlet Model: Defining a Litmus Test for the Bitwise Processing-in-Memory Paradigm. - Kunal Korgaonkar; Ronny Ronen; Anupam Chattopadhyay; Shahar Kvatinsky (CoRR, 2019)

Building Scalable Architectures Using Emerging Memory Technologies. - Kunal Korgaonkar (2019)

The Bitlet Model: A Parameterized Analytical Model to Compare PIM and CPU Systems. - Ronny Ronen; Adi Eliahu; Orian Leitersdorf; Natan Peled; Kunal Korgaonkar; Anupam Chattopadhyay; Ben Perach; Shahar Kvatinsky (ACM J. Emerg. Technol. Comput. Syst., 2022)

Characteristics of Deep Learning Workloads in Industry, Academic Institutions and National Laboratories. - Natasha Meena Joseph; S. Sai Vineet; Kunal Korgaonkar; Arnab K. Paul (ICDCN, 2023)

A Data-Centric Approach for Analyzing Large-Scale Deep Learning Applications. - S. Sai Vineet; Natasha Meena Joseph; Kunal Korgaonkar; Arnab K. Paul (ICDCN, 2023)

Expand-Map-Reduce: A Elementary Framework for Understanding Quantum Algorithms. - Videet Acharya; Nakul Bhachawat; Kunal Korgaonkar (HIPCW, 2024)