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ORCIDGokul Krishnan
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Journal Articles
- 2023
[j10]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)- [j9]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): 3815-3828 (2023) - 2022
- [j8]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): 472-485 (2022) - [j7]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): 34:1-34:22 (2022) - [j6]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): 44006 (2022) - [j5]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): 2740-2752 (2022) - [j4]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): 4241-4252 (2022) - 2021
- [j3]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): 68:1-68:24 (2021) - 2020
- [j2]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): 79-87 (2020) - [j1]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): 362-375 (2020)
Conference and Workshop Papers
- 2023
- [c12]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: 1-3 - 2022
- [c11]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: 8:1-8:9 - 2021
- [c10]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: 1-4 - [c9]Yufei Ma, Gokul Krishnan, Yu Cao, Le Ye, Ru Huang:
SWIFT: Small-World-based Structural Pruning to Accelerate DNN Inference on FPGA. FPGA 2021: 148 - [c8]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: 1-5 - 2020
- [c7]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: 1-6 - [c6]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: 83-88 - 2014
- [c5]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: 1-4 - [c4]Pratim Sengupta, Gokul Krishnan, Mason Wright:
Integrated STEM in Elementary Grades Using Distributed Agent-based Computation. CSEDU (2) 2014: 67-78 - [c3]Pratim Sengupta, Gokul Krishnan, Mason Wright, Cherifa Ghassoul:
Mathematical Machines and Integrated Stem: An Intersubjective Constructionist Approach. CSEDU (Selected Papers) 2014: 272-288 - [c2]Gokul Krishnan, Pratim Sengupta:
Learning Integrated STEM Using Tangible Agent-Based Modeling. ICLS 2014 - 2013
- [c1]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: 1-4
Informal and Other Publications
- 2022
- [i6]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 abs/2205.07311 (2022) - [i5]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 abs/2210.12899 (2022) - 2021
- [i4]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 abs/2107.02358 (2021) - [i3]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 abs/2108.08903 (2021) - 2019
- [i2]Xiaocong Du, Gokul Krishnan, Abinash Mohanty, Zheng Li, Gouranga Charan, Yu Cao:
Towards Efficient Neural Networks On-a-chip: Joint Hardware-Algorithm Approaches. CoRR abs/1906.08866 (2019) - [i1]Gokul Krishnan, Xiaocong Du, Yu Cao:
Structural Pruning in Deep Neural Networks: A Small-World Approach. CoRR abs/1911.04453 (2019)
Coauthor Index
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