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ORCIDNandhini Chandramoorthy
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2020 – today
- 2024
[c23]Zishen Wan
, Nandhini Chandramoorthy, Karthik Swaminathan, Pin-Yu Chen, Kshitij Bhardwaj, Vijay Janapa Reddi, Arijit Raychowdhury:
MulBERRY: Enabling Bit-Error Robustness for Energy-Efficient Multi-Agent Autonomous Systems. ASPLOS (2) 2024: 746-762- 2023
- [j6]David Stutz, Nandhini Chandramoorthy, Matthias Hein, Bernt Schiele:
Random and Adversarial Bit Error Robustness: Energy-Efficient and Secure DNN Accelerators. IEEE Trans. Pattern Anal. Mach. Intell. 45(3): 3632-3647 (2023) - [c22]Zishen Wan, Nandhini Chandramoorthy, Karthik Swaminathan, Pin-Yu Chen, Vijay Janapa Reddi, Arijit Raychowdhury:
BERRY: Bit Error Robustness for Energy-Efficient Reinforcement Learning-Based Autonomous Systems. DAC 2023: 1-6 - [i4]Hao-Lun Sun, Lei Hsiung, Nandhini Chandramoorthy, Pin-Yu Chen, Tsung-Yi Ho:
NeuralFuse: Learning to Improve the Accuracy of Access-Limited Neural Network Inference in Low-Voltage Regimes. CoRR abs/2306.16869 (2023) - [i3]Zishen Wan, Nandhini Chandramoorthy, Karthik Swaminathan, Pin-Yu Chen, Vijay Janapa Reddi, Arijit Raychowdhury:
BERRY: Bit Error Robustness for Energy-Efficient Reinforcement Learning-Based Autonomous Systems. CoRR abs/2307.10041 (2023) - 2022
- [c21]Tianyu Jia, Paolo Mantovani, Maico Cassel dos Santos, Davide Giri, Joseph Zuckerman, Erik Jens Loscalzo, Martin Cochet, Karthik Swaminathan, Gabriele Tombesi, Jeff Jun Zhang, Nandhini Chandramoorthy, John-David Wellman, Kevin Tien, Luca P. Carloni, Kenneth L. Shepard, David Brooks, Gu-Yeon Wei, Pradip Bose:
A 12nm Agile-Designed SoC for Swarm-Based Perception with Heterogeneous IP Blocks, a Reconfigurable Memory Hierarchy, and an 800MHz Multi-Plane NoC. ESSCIRC 2022: 269-272 - [c20]Maico Cassel dos Santos, Tianyu Jia, Martin Cochet, Karthik Swaminathan, Joseph Zuckerman, Paolo Mantovani, Davide Giri, Jeff Jun Zhang, Erik Jens Loscalzo, Gabriele Tombesi, Kevin Tien, Nandhini Chandramoorthy, John-David Wellman, David Brooks, Gu-Yeon Wei, Kenneth L. Shepard, Luca P. Carloni, Pradip Bose:
A Scalable Methodology for Agile Chip Development with Open-Source Hardware Components. ICCAD 2022: 20:1-20:9 - [c19]Zishen Wan, Karthik Swaminathan, Pin-Yu Chen, Nandhini Chandramoorthy, Arijit Raychowdhury:
Analyzing and Improving Resilience and Robustness of Autonomous Systems. ICCAD 2022: 102:1-102:9 - [c18]Hongpeng Guo, Haotian Gu, Zhe Yang, Xiaoyang Wang, Eun Kyung Lee, Nandhini Chandramoorthy, Tamar Eilam, Deming Chen, Klara Nahrstedt:
BoFL: bayesian optimized local training pace control for energy efficient federated learning. Middleware 2022: 188-201 - 2021
- [c17]Nagadastagiri Challapalle, Karthik Swaminathan, Nandhini Chandramoorthy, Vijaykrishnan Narayanan:
Crossbar based Processing in Memory Accelerator Architecture for Graph Convolutional Networks. ICCAD 2021: 1-9 - [c16]Brian W. Thompto, Dung Q. Nguyen, José E. Moreira, Ramon Bertran, Hans M. Jacobson, Richard J. Eickemeyer, Rahul M. Rao, Michael Goulet, Marcy Byers, Christopher J. Gonzalez, Karthik Swaminathan, Nagu R. Dhanwada, Silvia M. Müller, Andreas Wagner, Satish Kumar Sadasivam, Robert K. Montoye, William J. Starke, Christian G. Zoellin, Michael S. Floyd, Jeffrey Stuecheli, Nandhini Chandramoorthy, John-David Wellman, Alper Buyuktosunoglu, Matthias Pflanz, Balaram Sinharoy, Pradip Bose:
Energy Efficiency Boost in the AI-Infused POWER10 Processor. ISCA 2021: 29-42 - [c15]David Stutz, Nandhini Chandramoorthy, Matthias Hein, Bernt Schiele:
Bit Error Robustness for Energy-Efficient DNN Accelerators. MLSys 2021 - [i2]David Stutz, Nandhini Chandramoorthy, Matthias Hein, Bernt Schiele:
Random and Adversarial Bit Error Robustness: Energy-Efficient and Secure DNN Accelerators. CoRR abs/2104.08323 (2021) - 2020
- [c14]Nagadastagiri Challapalle, Sahithi Rampalli, Linghao Song, Nandhini Chandramoorthy, Karthik Swaminathan, John Sampson, Yiran Chen, Vijaykrishnan Narayanan:
GaaS-X: Graph Analytics Accelerator Supporting Sparse Data Representation using Crossbar Architectures. ISCA 2020: 433-445 - [i1]David Stutz, Nandhini Chandramoorthy, Matthias Hein, Bernt Schiele:
On Mitigating Random and Adversarial Bit Errors. CoRR abs/2006.13977 (2020)
2010 – 2019
- 2019
- [c13]Nandhini Chandramoorthy, Karthik Swaminathan, Martin Cochet, Arun Paidimarri, Schuyler Eldridge, Rajiv V. Joshi, Matthew M. Ziegler, Alper Buyuktosunoglu, Pradip Bose:
Resilient Low Voltage Accelerators for High Energy Efficiency. HPCA 2019: 147-158 - 2018
- [c12]Rajiv V. Joshi, Matthew M. Ziegler, Karthik Swaminathan, Nandhini Chandramoorthy:
Cascaded and resonant SRAM supply boosting for ultra-low voltage cognitive IoT applications. CICC 2018: 1-4 - 2017
- [c11]Karthik Swaminathan, Nandhini Chandramoorthy, Chen-Yong Cher, Ramon Bertran, Alper Buyuktosunoglu, Pradip Bose:
BRAVO: Balanced Reliability-Aware Voltage Optimization. HPCA 2017: 97-108 - [c10]Ramon Bertran, Pradip Bose, David M. Brooks, Jeff Burns, Alper Buyuktosunoglu, Nandhini Chandramoorthy, Eric Cheng, Martin Cochet, Schuyler Eldridge, Daniel Friedman, Hans M. Jacobson, Rajiv V. Joshi, Subhasish Mitra, Robert K. Montoye, Arun Paidimarri, Pritish Parida, Kevin Skadron, Mircea Stan, Karthik Swaminathan, Augusto Vega, Swagath Venkataramani, Christos Vezyrtzis, Gu-Yeon Wei, John-David Wellman, Matthew M. Ziegler:
Very Low Voltage (VLV) Design. ICCD 2017: 601-604 - 2016
- [j5]Wei-Yu Tsai, Xueqing Li, Matthew Jerry, Baihua Xie, Nikhil Shukla, Huichu Liu, Nandhini Chandramoorthy, Matthew Cotter, Arijit Raychowdhury, Donald M. Chiarulli, Steven P. Levitan, Suman Datta, John Sampson, Nagarajan Ranganathan, Vijaykrishnan Narayanan:
Enabling New Computation Paradigms with HyperFET - An Emerging Device. IEEE Trans. Multi Scale Comput. Syst. 2(1): 30-48 (2016) - 2015
- [c9]Nandhini Chandramoorthy, Giuseppe Tagliavini, Kevin M. Irick, Antonio Pullini, Siddharth Advani, Sulaiman Al Habsi, Matthew Cotter, John Sampson, Vijaykrishnan Narayanan, Luca Benini:
Exploring architectural heterogeneity in intelligent vision systems. HPCA 2015: 1-12 - [c8]Kaisheng Ma, Nandhini Chandramoorthy, Xueqing Li, Sumeet Kumar Gupta, John Sampson, Yuan Xie, Vijaykrishnan Narayanan:
Using Multiple-Input NEMS for Parallel A/D Conversion and Image Processing. ISVLSI 2015: 339-344 - 2014
- [j4]Yong Cheol Peter Cho, Nandhini Chandramoorthy, Kevin M. Irick, Vijaykrishnan Narayanan:
Accelerating Multiresolution Gabor Feature Extraction for Real Time Vision Applications. J. Signal Process. Syst. 76(2): 149-168 (2014) - [c7]Karthik Swaminathan, Moon Seok Kim, Nandhini Chandramoorthy, Behnam Sedighi, Robert Perricone, Jack Sampson, Vijaykrishnan Narayanan:
Modeling steep slope devices: From circuits to architectures. DATE 2014: 1-6 - [c6]Siddharth Advani, Nandhini Chandramoorthy, Karthik Swaminathan, Kevin M. Irick, Yong Cheol Peter Cho, Jack Sampson, Vijaykrishnan Narayanan:
Refresh Enabled Video Analytics (REVA): Implications on power and performance of DRAM supported embedded visual systems. ICCD 2014: 501-504 - [c5]Kevin M. Irick, Nandhini Chandramoorthy:
Achieving High-Performance Video Analytics with Lightweight Cores and a Sea of Hardware Accelerators. ISVLSI 2014: 462-467 - [c4]Nandhini Chandramoorthy, Karthik Swaminathan, Matthew Cotter, Xueqing Li, Indranil Palit, Xiaobo Sharon Hu, Michael T. Niemier, Kevin M. Irick:
Understanding the landscape of accelerators for vision. SiPS 2014: 280-285 - 2013
- [j3]Ahmed Al-Maashri, Matthew Cotter, Nandhini Chandramoorthy, Michael DeBole, Chi-Li Yu, Vijaykrishnan Narayanan, Chaitali Chakrabarti:
Hardware Acceleration for Neuromorphic Vision Algorithms. J. Signal Process. Syst. 70(2): 163-175 (2013) - [c3]Nandhini Chandramoorthy, Siddharth Advani, Kevin M. Irick, Vijaykrishnan Narayanan:
A Configurable Architecture for a Visual Saliency System and Its Application in Retail. FCCM 2013: 233 - 2012
- [j2]Sungho Park, Ahmed Al-Maashri, Kevin M. Irick, Aarti Chandrashekhar, Matthew Cotter, Nandhini Chandramoorthy, Michael DeBole, Vijaykrishnan Narayanan:
System-On-Chip for Biologically Inspired Vision Applications. Inf. Media Technol. 7(4): 1294-1318 (2012) - [j1]Sungho Park, Ahmed Al-Maashri, Kevin M. Irick, Aarti Chandrashekhar, Matthew Cotter, Nandhini Chandramoorthy, Michael DeBole, Vijaykrishnan Narayanan:
System-On-Chip for Biologically Inspired Vision Applications. IPSJ Trans. Syst. LSI Des. Methodol. 5: 71-95 (2012) - [c2]Ahmed Al-Maashri, Michael DeBole, Matthew Cotter, Nandhini Chandramoorthy, Yang Xiao, Vijaykrishnan Narayanan, Chaitali Chakrabarti:
Accelerating neuromorphic vision algorithms for recognition. DAC 2012: 579-584 - [c1]Yong Cheol Peter Cho, Nandhini Chandramoorthy, Kevin M. Irick, Vijaykrishnan Narayanan:
Multiresolution Gabor Feature Extraction for Real Time Applications. SiPS 2012: 55-60
Coauthor Index
aka: Vijaykrishnan Narayanan
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