FastSpot: Host-compiled thermal estimation for early design space exploration. - Darshan Gandhi; Andreas Gerstlauer; Lizy K. John (ISQED, 2014)

Digital Landscape of COVID-19 Testing: Challenges and Opportunities. - Darshan Gandhi; Rohan Sukumaran; Priyanshi Katiyar; Alex Radunsky; Sunaina Anand; Shailesh Advani; Jil Kothari; Kasia Jakimowicz; Sheshank Shankar; Sethuraman T. V.; Krutika Misra; Aishwarya Saxena; et al. (CoRR, 2020)

Spatial K-anonymity: A Privacy-preserving Method for COVID-19 Related Geo-spatial Technologies. - Rohan Iyer; Regina Rex; Kevin P. McPherson; Darshan Gandhi; Aryan Mahindra; Abhishek Singh 005; Ramesh Raskar (GISTAM, 2021)

COVID-19 Tests Gone Rogue: Privacy, Efficacy, Mismanagement and Misunderstandings. - Manuel Morales; Rachel Barbar; Darshan Gandhi; Sanskruti Landage; Joseph Bae; Arpita Vats; Jil Kothari; Sheshank Shankar; Rohan Sukumaran; Himi Mathur; Krutika Misra; Aishwarya Saxena; et al. (CoRR, 2021)

Spatial K-anonymity: A Privacy-preserving Method for COVID-19 Related Geospatial Technologies. - Rohan Iyer; Regina Rex; Kevin P. McPherson; Darshan Gandhi; Aryan Mahindra; Abhishek Singh 005; Ramesh Raskar (CoRR, 2021)

MIT SafePaths Card (MiSaCa): Augmenting Paper Based Vaccination Cards with Printed Codes. - Joseph Bae; Rohan Sukumaran; Sheshank Shankar; Saurish Srivastava; Rohan Iyer; Aryan Mahindra; Qamil Mirza; Maurizio Arseni; Anshuman Sharma; Saras Agrawal; Orna Mukhopadhyay; Colin Kang; et al. (CoRR, 2021)

Training Large Language Models Efficiently with Sparsity and Dataflow. - Venkat Srinivasan; Darshan Gandhi; Urmish Thakker; Raghu Prabhakar (CoRR, 2023)

Toward a Holistic Performance Evaluation of Large Language Models Across Diverse AI Accelerators. - Murali Emani; Sam Foreman; Varuni Sastry; Zhen Xie; Siddhisanket Raskar; William Arnold; Rajeev Thakur; Venkatram Vishwanath; Michael E. Papka; Sanjif Shanmugavelu; Darshan Gandhi; Hengyu Zhao; et al. (IPDPS (Workshops), 2024)

SambaNova SN40L: Scaling the AI Memory Wall with Dataflow and Composition of Experts. - Raghu Prabhakar; Ram Sivaramakrishnan; Darshan Gandhi; Yun Du; Mingran Wang; Xiangyu Song; Kejie Zhang; Tianren Gao; Angela Wang; Xiaoyan Li; Yongning Sheng; Joshua Brot; et al. (MICRO, 2024)

SambaNova SN40L: Scaling the AI Memory Wall with Dataflow and Composition of Experts. - Raghu Prabhakar; Ram Sivaramakrishnan; Darshan Gandhi; Yun Du; Mingran Wang; Xiangyu Song; Kejie Zhang; Tianren Gao; Angela Wang; Karen Li; Yongning Sheng; Joshua Brot; et al. (CoRR, 2024)

Kernel Looping: Eliminating Synchronization Boundaries for Peak Inference Performance. - David Koeplinger; Darshan Gandhi; Pushkar Nandkar; Nathan Sheeley; Matheen Musaddiq; Leon Zhang; Reid Goodbar; Matthew Shaffer; Han Wang; Angela Wang; Mingran Wang; Raghu Prabhakar (CoRR, 2024)

Composition of Experts on the SN40L Reconfigurable Dataflow Unit. - Raghu Prabhakar; Ram Sivaramakrishnan; Darshan Gandhi; Yun Du; Mingran Wang; Xiangyu Song; Kejie Zhang; Tianren Gao; Angela Wang; Xiaoyan Li; Joshua Brot; Calvin Leung; et al. (IEEE Micro, 2024)

16.4: SambaNova SN40L: A 5nm 2.5D Dataflow Accelerator with Three Memory Tiers for Trillion Parameter AI. - Raghu Prabhakar; Junwei Zhou; Darshan Gandhi; Youngmoon Choi; Mahmood Khayatzadeh; Kyunglok Kim; Uma Durairajan; Jeongha Park; Satyajit Sarkar; Jinuk Luke Shin (ISSCC, 2025)

LLMs Know What to Drop: Self-Attention Guided KV Cache Eviction for Efficient Long-Context Inference. - Guangtao Wang; Shubhangi Upasani; Chen Wu; Darshan Gandhi; Jonathan Li 009; Changran Hu; Bo Li; Urmish Thakker (CoRR, 2025)