| 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 | 17 | 2020 |
| 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 | 17 | 2020 |
| 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 | 16 | 2020 |
| 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 | 13 | 2020 |
| 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 | 9 | 2020 |
| 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 | 8 | 2019 |
| Structural Pruning in Deep Neural Networks: A Small-World Approach G Krishnan, X Du, Y Cao https://arxiv.org/abs/1911.04453, 2019 | 7 | 2019 |
| 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 | 4 | 2021 |
| 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 | 2 | 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 Journal on Emerging Technologies in Computing Systems, 2021 | 1 | 2021 |
| 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 | 1 | 2021 |
| 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 | 1 | 2020 |
| 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, ... | | |
Yu CaoProfessor of Electrical Engineering, Arizona State UniversityE-mail confirmado em asu.edu
