Gokul Krishnan

31 papers A* 1A 2Journal 18Unranked 9

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Multiple Point-Source Tracking With Lensless Single Random Phase Encoding Optical Systems. IEEE Access Saurabh Goswami, Jiheon Lee, Gokul Krishnan, Bahram Javidi
2024	J	`jnl`	Assessment of 3D Integral Imaging Information Loss in Degraded Environments. IEEE Access Pranav Wani, Kashif Usmani, Gokul Krishnan, Bahram Javidi
2024	—	`ch.`	In-Memory Computing for AI Accelerators: Challenges and Solutions. Embedded Machine Learning for Cyber-Physical, IoT, and Edge Computing: Hardware Architectures Gokul Krishnan, Sumit K. Mandal, Chaitali Chakrabarti, Jae-sun Seo, Ümit Y. Ogras, Yu Cao
2023	—	`conf`	3D-ISC: A 65nm 3D Compatible In-Sensor Computing Accelerator with Reconfigurable Tile Architecture for Real-Time DVS Data Compression. A-SSCC 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
2023	J	`jnl`	Artificial intelligence in clinical medicine: catalyzing a sustainable global healthcare paradigm. Frontiers Artif. Intell. Gokul Krishnan, Shiana Singh, Monika Pathania, Siddharth Gosavi, Shuchi Abhishek, Ashwin Parchani, Minakshi Dhar
2023	J	`jnl`	SpikeSim: An End-to-End Compute-in-Memory Hardware Evaluation Tool for Benchmarking Spiking Neural Networks. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Abhishek Moitra, Abhiroop Bhattacharjee, Runcong Kuang, Gokul Krishnan, Yu Cao, Priyadarshini Panda
2022	A	`conf`	Big-Little Chiplets for In-Memory Acceleration of DNNs: A Scalable Heterogeneous Architecture. ICCAD Gokul Krishnan, A. Alper Goksoy, Sumit K. Mandal, Zhenyu Wang, Chaitali Chakrabarti, Jae-sun Seo, Ümit Y. Ogras, Yu Cao
2022	J	`jnl`	COIN: Communication-Aware In-Memory Acceleration for Graph Convolutional Networks. CoRR Sumit K. Mandal, Gokul Krishnan, A. Alper Goksoy, Gopikrishnan Ravindran Nair, Yu Cao, Ümit Y. Ogras
2022	J	`jnl`	COIN: Communication-Aware In-Memory Acceleration for Graph Convolutional Networks. IEEE J. Emerg. Sel. Topics Circuits Syst. Sumit K. Mandal, Gokul Krishnan, A. Alper Goksoy, Gopikrishnan Ravindran Nair, Yu Cao, Ümit Y. Ogras
2022	J	`jnl`	Efficient continual learning at the edge with progressive segmented training. Neuromorph. Comput. Eng. Xiaocong Du, Shreyas Kolala Venkataramanaiah, Zheng Li, Han-Sok Suh, Shihui Yin, Gokul Krishnan, Frank Liu, Jae-sun Seo, Yu Cao
2022	J	`jnl`	Exploring Model Stability of Deep Neural Networks for Reliable RRAM-Based In-Memory Acceleration. IEEE Trans. Computers 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
2022	J	`jnl`	Hybrid RRAM/SRAM in-Memory Computing for Robust DNN Acceleration. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 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
2022	J	`jnl`	Impact of On-chip Interconnect on In-memory Acceleration of Deep Neural Networks. ACM J. Emerg. Technol. Comput. Syst. Gokul Krishnan, Sumit K. Mandal, Chaitali Chakrabarti, Jae-sun Seo, Ümit Y. Ogras, Yu Cao
2022	J	`jnl`	SpikeSim: An end-to-end Compute-in-Memory Hardware Evaluation Tool for Benchmarking Spiking Neural Networks. CoRR Abhishek Moitra, Abhiroop Bhattacharjee, Runcong Kuang, Gokul Krishnan, Yu Cao, Priyadarshini Panda
2021	J	`jnl`	Impact of On-Chip Interconnect on In-Memory Acceleration of Deep Neural Networks. CoRR Gokul Krishnan, Sumit K. Mandal, Chaitali Chakrabarti, Jae-sun Seo, Ümit Y. Ogras, Yu Cao
2021	—	`conf`	Robust RRAM-based In-Memory Computing in Light of Model Stability. IRPS Gokul Krishnan, Jingbo Sun, Jubin Hazra, Xiaocong Du, Maximilian Liehr, Zheng Li, Karsten Beckmann, Rajiv V. Joshi, Nathaniel C. Cady, Yu Cao
2021	J	`jnl`	SIAM: Chiplet-based Scalable In-Memory Acceleration with Mesh for Deep Neural Networks. CoRR Gokul Krishnan, Sumit K. Mandal, Manvitha Pannala, Chaitali Chakrabarti, Jae-sun Seo, Ümit Y. Ogras, Yu Cao
2021	J	`jnl`	SIAM: Chiplet-based Scalable In-Memory Acceleration with Mesh for Deep Neural Networks. ACM Trans. Embed. Comput. Syst. Gokul Krishnan, Sumit K. Mandal, Manvitha Pannala, Chaitali Chakrabarti, Jae-sun Seo, Ümit Y. Ogras, Yu Cao
2021	A	`conf`	SWIFT: Small-World-based Structural Pruning to Accelerate DNN Inference on FPGA. FPGA Yufei Ma, Gokul Krishnan, Yu Cao, Le Ye, Ru Huang
2021	—	`conf`	System-Level Benchmarking of Chiplet-based IMC Architectures for Deep Neural Network Acceleration. ASICON Gokul Krishnan, Sumit K. Mandal, Chaitali Chakrabarti, Jae-sun Seo, Ümit Y. Ogras, Yu Cao
2020	J	`jnl`	A Latency-Optimized Reconfigurable NoC for In-Memory Acceleration of DNNs. IEEE J. Emerg. Sel. Topics Circuits Syst. Sumit K. Mandal, Gokul Krishnan, Chaitali Chakrabarti, Jae-sun Seo, Yu Cao, Ümit Y. Ogras
2020	A*	`conf`	Accurate Inference with Inaccurate RRAM Devices: Statistical Data, Model Transfer, and On-line Adaptation. DAC Gouranga Charan, Jubin Hazra, Karsten Beckmann, Xiaocong Du, Gokul Krishnan, Rajiv V. Joshi, Nathaniel C. Cady, Yu Cao
2020	J	`jnl`	Interconnect-Aware Area and Energy Optimization for In-Memory Acceleration of DNNs. IEEE Des. Test Gokul Krishnan, Sumit K. Mandal, Chaitali Chakrabarti, Jae-sun Seo, Ümit Y. Ogras, Yu Cao
2020	—	`conf`	MNSIM 2.0: A Behavior-Level Modeling Tool for Memristor-based Neuromorphic Computing Systems. ACM Great Lakes Symposium on VLSI 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
2019	J	`jnl`	Structural Pruning in Deep Neural Networks: A Small-World Approach. CoRR Gokul Krishnan, Xiaocong Du, Yu Cao
2019	J	`jnl`	Towards Efficient Neural Networks On-a-chip: Joint Hardware-Algorithm Approaches. CoRR Xiaocong Du, Gokul Krishnan, Abinash Mohanty, Zheng Li, Gouranga Charan, Yu Cao
2014	—	`conf`	Independent N and P process monitors for body bias based process corner correction. CICC Lawrence T. Clark, David Kidd, Vineet Agrawal, Samuel Leshner, Gokul Krishnan
2014	—	`conf`	Integrated STEM in Elementary Grades Using Distributed Agent-based Computation. CSEDU (2) Pratim Sengupta, Gokul Krishnan, Mason Wright
2014	—	`conf`	Learning Integrated STEM Using Tangible Agent-Based Modeling. ICLS Gokul Krishnan, Pratim Sengupta
2014	—	`conf`	Mathematical Machines and Integrated Stem: An Intersubjective Constructionist Approach. CSEDU (Selected Papers) Pratim Sengupta, Gokul Krishnan, Mason Wright, Cherifa Ghassoul
2013	—	`conf`	Low power ARM® Cortex™-M0 CPU and SRAM using Deeply Depleted Channel (DDC) transistors with Vdd scaling and body bias. CICC 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