Visual Inertial Odometry At the Edge: A Hardware-Software Co-design Approach for Ultra-low Latency and Power. - Dipan Kumar Mandal; Srivatsava Jandhyala; Om Ji Omer; Gurpreet S. Kalsi; Biji George; Gopi Neela; Santhosh Kumar Rethinagiri; Sreenivas Subramoney; Lance Hacking; Jim Radford; Eagle Jones; Belliappa Kuttanna; et al. (DATE, 2019)

PSB-RNN: A Processing-in-Memory Systolic Array Architecture using Block Circulant Matrices for Recurrent Neural Networks. - Nagadastagiri Challapalle; Sahithi Rampalli; Makesh Chandran; Gurpreet S. Kalsi; Sreenivas Subramoney; John Sampson; Vijaykrishnan Narayanan (DATE, 2020)

Descriptor Scoring for Feature Selection in Real-Time Visual Slam. - Prashant Laddha; Om Ji Omer; Gurpreet Singh Kalsi; Dipan Kumar Mandal; Sreenivas Subramoney (ICIP, 2020)

GenASM: A High-Performance, Low-Power Approximate String Matching Acceleration Framework for Genome Sequence Analysis. - Damla Senol Cali; Gurpreet S. Kalsi; Zülal Bingöl; Can Firtina; Lavanya Subramanian; Jeremie S. Kim; Rachata Ausavarungnirun; Mohammed Alser; Juan Gómez-Luna; Amirali Boroumand; Anant Nori; Allison Scibisz; et al. (MICRO, 2020)

Look-Up Table based Energy Efficient Processing in Cache Support for Neural Network Acceleration. - Akshay Krishna Ramanathan; Gurpreet S. Kalsi; Srivatsa Srinivasa; Tarun Makesh Chandran; Kamlesh R. Pillai; Om Ji Omer; Vijaykrishnan Narayanan; Sreenivas Subramoney (MICRO, 2020)

AccSS3D: Accelerator for Spatially Sparse 3D DNNs. - Om Ji Omer; Prashant Laddha; Gurpreet S. Kalsi; Anirud Thyagharajan; Kamlesh R. Pillai; Abhimanyu Kulkarni; Anbang Yao; Yurong Chen 001; Sreenivas Subramoney (CoRR, 2020)

ONT-X: An FPGA Approach to Real-time Portable Genomic Analysis. - C. N. Ramachandra; Anirban Nag; Rajeev Balasubramonian; Gurpreet S. Kalsi; Kamlesh R. Pillai; Sreenivas Subramoney (FCCM, 2021)

Well Separated Pair Decomposition and power weighted shortest path metric algorithm fusion. - Gurpreet S. Kalsi; Steven B. Damelin (CoRR, 2021)

SeGraM: a universal hardware accelerator for genomic sequence-to-graph and sequence-to-sequence mapping. - Damla Senol Cali; Konstantinos Kanellopoulos; Joël Lindegger; Zülal Bingöl; Gurpreet S. Kalsi; Ziyi Zuo; Can Firtina; Meryem Banu Cavlak; Jeremie S. Kim; Nika Mansouri-Ghiasi; Gagandeep Singh 002; Juan Gómez-Luna; et al. (ISCA, 2022)

Compute-In-Memory Using 6T SRAM for a Wide Variety of Workloads. - Pramod Kumar Bharti; Saurabh Jain; Kamlesh R. Pillai; Sagar Varma Sayyaparaju; Gurpreet S. Kalsi; Joycee Mekie; Sreenivas Subramoney (ISCAS, 2022)

ApHMM: Accelerating Profile Hidden Markov Models for Fast and Energy-efficient Genome Analysis. - Can Firtina; Kamlesh R. Pillai; Gurpreet S. Kalsi; Bharathwaj Suresh; Damla Senol Cali; Jeremie S. Kim; Taha Shahroodi; Meryem Banu Cavlak; Joël Lindegger; Mohammed Alser; Juan Gómez-Luna; Sreenivas Subramoney; et al. (ACM Trans. Archit. Code Optim., 2024)

Controlled Shared Memory (COSM) Isolation: Design and Testbed Evaluation. - Vignesh Sundaravarathan; Martin Reisslein; Akhilesh S. Thyagaturu; Nick Ross; Gurpreet Singh Kalsi; Jason Howard; Jan Kaisrlik; Bartosz Matwiejczyk; Marek M. Landowski; Piotr Dorozynski; Harvey Vrsalovic; Sanjaya Tayal (IEEE Access, 2025)