Gurpreet S. Kalsi

13 papers A* 3A 2C 1Misc 1Journal 6
YearRankTypeTitle / Venue / Authors
2024 J jnl
ApHMM: Accelerating Profile Hidden Markov Models for Fast and Energy-efficient Genome Analysis.
ACM Trans. Archit. Code Optim.
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, Onur Mutlu
2022 J jnl
ApHMM: Accelerating Profile Hidden Markov Models for Fast and Energy-Efficient Genome Analysis.
CoRR
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, Onur Mutlu
2022 C conf
Compute-In-Memory Using 6T SRAM for a Wide Variety of Workloads.
ISCAS
Pramod Kumar Bharti, Saurabh Jain, Kamlesh R. Pillai, Sagar Varma Sayyaparaju, Gurpreet S. Kalsi, Joycee Mekie, Sreenivas Subramoney
2022 J jnl
SeGraM: A Universal Hardware Accelerator for Genomic Sequence-to-Graph and Sequence-to-Sequence Mapping.
CoRR
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, Juan Gómez-Luna, Nour Almadhoun Alserr, Mohammed Alser, Sreenivas Subramoney, Can Alkan, Saugata Ghose, Onur Mutlu
2022 A* conf
SeGraM: a universal hardware accelerator for genomic sequence-to-graph and sequence-to-sequence mapping.
ISCA
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, Juan Gómez-Luna, Nour Almadhoun Alserr, Mohammed Alser, Sreenivas Subramoney, Can Alkan, Saugata Ghose, Onur Mutlu
2021 Misc conf
ONT-X: An FPGA Approach to Real-time Portable Genomic Analysis.
FCCM
C. N. Ramachandra, Anirban Nag, Rajeev Balasubramonian, Gurpreet S. Kalsi, Kamlesh R. Pillai, Sreenivas Subramoney
2021 J jnl
Well Separated Pair Decomposition and power weighted shortest path metric algorithm fusion.
CoRR
Gurpreet S. Kalsi, Steven B. Damelin
2020 J jnl
AccSS3D: Accelerator for Spatially Sparse 3D DNNs.
CoRR
Om Ji Omer, Prashant Laddha, Gurpreet S. Kalsi, Anirud Thyagharajan, Kamlesh R. Pillai, Abhimanyu Kulkarni, Anbang Yao, Yurong Chen, Sreenivas Subramoney
2020 A* conf
GenASM: A High-Performance, Low-Power Approximate String Matching Acceleration Framework for Genome Sequence Analysis.
MICRO
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, Sreenivas Subramoney, Can Alkan, Saugata Ghose, Onur Mutlu
2020 J jnl
GenASM: A High-Performance, Low-Power Approximate String Matching Acceleration Framework for Genome Sequence Analysis.
CoRR
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, Sreenivas Subramoney, Can Alkan, Saugata Ghose, Onur Mutlu
2020 A* conf
Look-Up Table based Energy Efficient Processing in Cache Support for Neural Network Acceleration.
MICRO
Akshay Krishna Ramanathan, Gurpreet S. Kalsi, Srivatsa Srinivasa, Tarun Makesh Chandran, Kamlesh R. Pillai, Om Ji Omer, Vijaykrishnan Narayanan, Sreenivas Subramoney
2020 A conf
PSB-RNN: A Processing-in-Memory Systolic Array Architecture using Block Circulant Matrices for Recurrent Neural Networks.
DATE
Nagadastagiri Challapalle, Sahithi Rampalli, Makesh Chandran, Gurpreet S. Kalsi, Sreenivas Subramoney, John Sampson, Vijaykrishnan Narayanan
2019 A conf
Visual Inertial Odometry At the Edge: A Hardware-Software Co-design Approach for Ultra-low Latency and Power.
DATE
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, Hong Wang