Gokul Krishnan

Publication Activity (10 Years)

Years Active: 2013-2023
Publications (10 Years): 24

Top Topics

Clinical Medicine

Memory Requirements

Top Venues

IEEE J. Emerg. Sel. Topics Circuits Syst.

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.

ACM Trans. Embed. Comput. Syst.

Publications

Gokul Krishnan, Shiana Singh, Monika Pathania, Siddharth Gosavi, Shuchi Abhishek, Ashwin Parchani, Minakshi Dhar
Artificial intelligence in clinical medicine: catalyzing a sustainable global healthcare paradigm. Frontiers Artif. Intell. 6 (2023)
Gokul Krishnan, Gopikrishnan Raveendran Nair, Jonghyun Oh, Anupreetham Anupreetham, Pragnya Sudershan Nalla, Ahmed Hassan, Injune Yeo, Kishore Kasichainula, Jae-sun Seo, Mingoo Seok, Yu Cao
3D-ISC: A 65nm 3D Compatible In-Sensor Computing Accelerator with Reconfigurable Tile Architecture for Real-Time DVS Data Compression. A-SSCC (2023)
Sahil Girhepuje, Anmol Goel, Gokul Krishnan, Shreya Goyal, Satyendra Pandey, Ponnurangam Kumaraguru, Balaram Ravindran
Are Models Trained on Indian Legal Data Fair? CoRR (2023)
Abhishek Moitra, Abhiroop Bhattacharjee, Runcong Kuang, Gokul Krishnan, Yu Cao, Priyadarshini Panda
SpikeSim: An End-to-End Compute-in-Memory Hardware Evaluation Tool for Benchmarking Spiking Neural Networks. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42 (11) (2023)
Sumit K. Mandal, Gokul Krishnan, A. Alper Goksoy, Gopikrishnan Ravindran Nair, Yu Cao, Ümit Y. Ogras
COIN: Communication-Aware In-Memory Acceleration for Graph Convolutional Networks. IEEE J. Emerg. Sel. Topics Circuits Syst. 12 (2) (2022)
Abhishek Moitra, Abhiroop Bhattacharjee, Runcong Kuang, Gokul Krishnan, Yu Cao, Priyadarshini Panda
SpikeSim: An end-to-end Compute-in-Memory Hardware Evaluation Tool for Benchmarking Spiking Neural Networks. CoRR (2022)
Gokul Krishnan, A. Alper Goksoy, Sumit K. Mandal, Zhenyu Wang, Chaitali Chakrabarti, Jae-sun Seo, Ümit Y. Ogras, Yu Cao
Big-Little Chiplets for In-Memory Acceleration of DNNs: A Scalable Heterogeneous Architecture. ICCAD (2022)
Gokul Krishnan, Li Yang, Jingbo Sun, Jubin Hazra, Xiaocong Du, Maximilian Liehr, Zheng Li, Karsten Beckmann, Rajiv V. Joshi, Nathaniel C. Cady, Deliang Fan, Yu Cao
Exploring Model Stability of Deep Neural Networks for Reliable RRAM-Based In-Memory Acceleration. IEEE Trans. Computers 71 (11) (2022)
Xiaocong Du, Shreyas Kolala Venkataramanaiah, Zheng Li, Han-Sok Suh, Shihui Yin, Gokul Krishnan, Frank Liu, Jae-sun Seo, Yu Cao
Efficient continual learning at the edge with progressive segmented training. Neuromorph. Comput. Eng. 2 (4) (2022)
Gokul Krishnan, Sumit K. Mandal, Chaitali Chakrabarti, Jae-Sun Seo, Ümit Y. Ogras, Yu Cao
Impact of On-chip Interconnect on In-memory Acceleration of Deep Neural Networks. ACM J. Emerg. Technol. Comput. Syst. 18 (2) (2022)
Gokul Krishnan, Zhenyu Wang, Injune Yeo, Li Yang, Jian Meng, Maximilian Liehr, Rajiv V. Joshi, Nathaniel C. Cady, Deliang Fan, Jae-Sun Seo, Yu Cao
Hybrid RRAM/SRAM in-Memory Computing for Robust DNN Acceleration. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41 (11) (2022)
Sumit K. Mandal, Gokul Krishnan, A. Alper Goksoy, Gopikrishnan Ravindran Nair, Yu Cao, Ümit Y. Ogras
COIN: Communication-Aware In-Memory Acceleration for Graph Convolutional Networks. CoRR (2022)
Gokul Krishnan, Sumit K. Mandal, Manvitha Pannala, Chaitali Chakrabarti, Jae-sun Seo, Ümit Y. Ogras, Yu Cao
SIAM: Chiplet-based Scalable In-Memory Acceleration with Mesh for Deep Neural Networks. CoRR (2021)
Gokul Krishnan, Sumit K. Mandal, Chaitali Chakrabarti, Jae-Sun Seo, Ümit Y. Ogras, Yu Cao
System-Level Benchmarking of Chiplet-based IMC Architectures for Deep Neural Network Acceleration. ASICON (2021)
Yufei Ma, Gokul Krishnan, Yu Cao, Le Ye, Ru Huang
SWIFT: Small-World-based Structural Pruning to Accelerate DNN Inference on FPGA. FPGA (2021)
Gokul Krishnan, Jingbo Sun, Jubin Hazra, Xiaocong Du, Maximilian Liehr, Zheng Li, Karsten Beckmann, Rajiv V. Joshi, Nathaniel C. Cady, Yu Cao
Robust RRAM-based In-Memory Computing in Light of Model Stability. IRPS (2021)
Gokul Krishnan, Sumit K. Mandal, Chaitali Chakrabarti, Jae-sun Seo, Ümit Y. Ogras, Yu Cao
Impact of On-Chip Interconnect on In-Memory Acceleration of Deep Neural Networks. CoRR (2021)
Gokul Krishnan, Sumit K. Mandal, Manvitha Pannala, Chaitali Chakrabarti, Jae-Sun Seo, Ümit Y. Ogras, Yu Cao
SIAM: Chiplet-based Scalable In-Memory Acceleration with Mesh for Deep Neural Networks. ACM Trans. Embed. Comput. Syst. 20 (5s) (2021)
Gouranga Charan, Jubin Hazra, Karsten Beckmann, Xiaocong Du, Gokul Krishnan, Rajiv V. Joshi, Nathaniel C. Cady, Yu Cao
Accurate Inference with Inaccurate RRAM Devices: Statistical Data, Model Transfer, and On-line Adaptation. DAC (2020)
Gokul Krishnan, Sumit K. Mandal, Chaitali Chakrabarti, Jae-sun Seo, Ümit Y. Ogras, Yu Cao
Interconnect-Aware Area and Energy Optimization for In-Memory Acceleration of DNNs. IEEE Des. Test 37 (6) (2020)
Sumit K. Mandal, Gokul Krishnan, Chaitali Chakrabarti, Jae-Sun Seo, Yu Cao, Ümit Y. Ogras
A Latency-Optimized Reconfigurable NoC for In-Memory Acceleration of DNNs. IEEE J. Emerg. Sel. Topics Circuits Syst. 10 (3) (2020)
Zhenhua Zhu, Hanbo Sun, Kaizhong Qiu, Lixue Xia, Gokul Krishnan, Guohao Dai, Dimin Niu, Xiaoming Chen, Xiaobo Sharon Hu, Yu Cao, Yuan Xie, Yu Wang, Huazhong Yang
MNSIM 2.0: A Behavior-Level Modeling Tool for Memristor-based Neuromorphic Computing Systems. ACM Great Lakes Symposium on VLSI (2020)
Xiaocong Du, Gokul Krishnan, Abinash Mohanty, Zheng Li, Gouranga Charan, Yu Cao
Towards Efficient Neural Networks On-a-chip: Joint Hardware-Algorithm Approaches. CoRR (2019)
Gokul Krishnan, Xiaocong Du, Yu Cao
Structural Pruning in Deep Neural Networks: A Small-World Approach. CoRR (2019)
Pratim Sengupta, Gokul Krishnan, Mason Wright
Integrated STEM in Elementary Grades Using Distributed Agent-based Computation. CSEDU (2) (2014)
Lawrence T. Clark, David Kidd, Vineet Agrawal, Samuel Leshner, Gokul Krishnan
Independent N and P process monitors for body bias based process corner correction. CICC (2014)
Gokul Krishnan, Pratim Sengupta
Learning Integrated STEM Using Tangible Agent-Based Modeling. ICLS (2014)
Pratim Sengupta, Gokul Krishnan, Mason Wright, Cherifa Ghassoul
Mathematical Machines and Integrated Stem: An Intersubjective Constructionist Approach. CSEDU (Selected Papers) (2014)
Vineet Agrawal, N. Kepler, David Kidd, Gokul Krishnan, Samuel Leshner, T. Bakishev, D. Zhao, P. Ranade, R. Roy, M. Wojko, Lawrence T. Clark, Robert Rogenmoser, M. Hori, Taiji Ema, S. Moriwaki, T. Tsuruta, T. Yamada, J. Mitani, S. Wakayama
Low power ARM® Cortex™-M0 CPU and SRAM using Deeply Depleted Channel (DDC) transistors with Vdd scaling and body bias. CICC (2013)