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Gokul Krishnan
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MNSIM 2.0: A behavior-level modeling tool for memristor-based neuromorphic computing systems
Z Zhu, H Sun, K Qiu, L Xia, G Krishnan, G Dai, D Niu, X Chen, XS Hu, ...
Proceedings of the 2020 on Great Lakes Symposium on VLSI, 83-88, 2020
172020
Interconnect-Aware Area and Energy Optimization for In-Memory Acceleration of DNNs
G Krishnan, SK Mandal, C Chakrabarti, J Seo, UY Ogras, Y Cao
IEEE Design and Test, 2020
172020
Accurate inference with inaccurate rram devices: A joint algorithm-design solution
G Charan, A Mohanty, X Du, G Krishnan, RV Joshi, Y Cao
IEEE Journal on Exploratory Solid-State Computational Devices and Circuits 6 …, 2020
162020
A Latency-Optimized Reconfigurable NoC for In-Memory Acceleration of DNNs
SK Mandal, G Krishnan, C Chakrabarti, J Seo, Y Cao, U Ogras
IEEE Journal on Emerging and Selected Topics in Circuits and Systems, 1-14, 2020
132020
Accurate Inference with Inaccurate RRAM Devices: Statistical Data, Model Transfer, and On-line Adaptation
G Charan, J Hazra, K Beckmann, X Du, G Krishnan, R Joshi, N Cady, ...
Design Automation Conference (DAC) 2020, 2020
92020
Towards Efficient Neural Networks On-a-chip: Joint Hardware-Algorithm Approaches
X Du, G Krishnan, A Mohanty, Z Li, G Charan, Y Cao
2019 China Semiconductor Technology International Conference (CSTIC), 2019
82019
Structural Pruning in Deep Neural Networks: A Small-World Approach
G Krishnan, X Du, Y Cao
https://arxiv.org/abs/1911.04453, 2019
72019
Interconnect-Centric Benchmarking of In-Memory Acceleration for DNNS
G Krishnan, SK Mandal, C Chakrabarti, J Seo, UY Ogras, Y Cao
China Semiconductor Technology International Conference (CSTIC), 2021
42021
SIAM: Chiplet-based Scalable In-Memory Acceleration with Mesh for Deep Neural Networks
G Krishnan, SK Mandal, M Pannala, C Chakrabarti, JS Seo, UY Ogras, ...
ACM Transactions on Embedded Computing Systems (TECS) 20 (5s), 1-24, 2021
22021
Impact of On-Chip Interconnect on In-Memory Acceleration of Deep Neural Networks
G Krishnan, SK Mandal, C Chakrabarti, J Seo, UY Ogras, Y Cao
Journal on Emerging Technologies in Computing Systems, 2021
12021
Robust RRAM-based In-Memory Computing in Light of Model Stability
G Krishnan, J Sun, J Hazra, X Du, M Liehr, Z Li, K Beckmann, RV Joshi, ...
IEEE International Reliability Physics Symposium (IRPS), 2021
12021
Small-world-based Structural Pruning for Efficient FPGA Inference of Deep Neural Networks
G Krishnan, Y Ma, Y Cao
2020 15th IEEE International Conference on Solid-State and Integrated …, 2020
12020
COIN: Communication-Aware In-Memory Acceleration for Graph Convolutional Networks
SK Mandal, G Krishnan, AA Goksoy, GR Nair, Y Cao, UY Ogras
IEEE Journal on Emerging and Selected Topics in Circuits and Systems, 2022
2022
Exploring Model Stability of Deep Neural Networks for Reliable RRAM-based In-Memory Acceleration
G Krishnan, J Sun, J Hazra, X Du, M Liehr, Z Li, K Beckmann, RV Joshi, ...
IEEE Transactions on Computers, 2022
2022
System-Level Benchmarking of Chiplet-based IMC Architectures for Deep Neural Network Acceleration
G Krishnan, SK Mandal, C Chakrabarti, J Seo, UY Ogras, Y Cao
IEEE 14th International Conference on ASIC 2021, 2021
2021
Hybrid In-Memory Computing Architecture for Robust DNN Acceleration
G Krishnan, Y Cao
IBM AI Compute Symposium 2021, 2021
2021
SWIFT: Small-World-based Structural Pruning to Accelerate DNN Inference on FPGA
Y Ma, G Krishnan, Y Cao, L Ye, R Huang
The 2021 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays …, 2021
2021
Design Limits of In-Memory Computing: Beyond the Crossbar
G Krishnan, J Hazra, M Liehr, X Du, K Beckmann, RV Joshi, NC Cady, ...
IEEE Electron Devices Technology and Manufacturing (EDTM), 2021
2021
Impact of On-Chip Interconnect on In-Memory Acceleration of Deep Neural Networks
G Krishnan*, SK Mandal*, C Chakrabarti, J Seo, UY Ogras, Y Cao
Workshop on Computation-In-Memory (CIM): from Device to Applications, DATE 2020, 2020
2020
iii Special Topic on Exploratory Devices and Circuits for Compute-in-Memory by S. Yu PAPERS Memristor/RRAM-Based Designs 18 Energy-Efficient Moderate Precision Time-Domain …
S Sahay, M Bavandpour, MR Mahmoodi, D Strukov, G Charan, A Mohanty, ...
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