Nandhini Chandramoorthy

35 papers A* 9A 5C 2Misc 1Journal 10Unranked 8

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Multi-Dimensional ML-Pipeline Optimization in Cost-Effective Disaggregated Datacenter. MICRO Pingyi Huo, Anusha Devulapally, Hasan Al Maruf, Nandhini Chandramoorthy, Meena Arunachalam, Gulsum Gudukbay Akbulut, Mahmut T. Kandemir, Vijaykrishnan Narayanan
2024	—	`conf`	MulBERRY: Enabling Bit-Error Robustness for Energy-Efficient Multi-Agent Autonomous Systems. ASPLOS (2) Zishen Wan, Nandhini Chandramoorthy, Karthik Swaminathan, Pin-Yu Chen, Kshitij Bhardwaj, Vijay Janapa Reddi, Arijit Raychowdhury
2024	A*	`conf`	NeuralFuse: Learning to Recover the Accuracy of Access-Limited Neural Network Inference in Low-Voltage Regimes. NeurIPS Hao-Lun Sun, Lei Hsiung, Nandhini Chandramoorthy, Pin-Yu Chen, Tsung-Yi Ho
2023	A*	`conf`	BERRY: Bit Error Robustness for Energy-Efficient Reinforcement Learning-Based Autonomous Systems. DAC Zishen Wan, Nandhini Chandramoorthy, Karthik Swaminathan, Pin-Yu Chen, Vijay Janapa Reddi, Arijit Raychowdhury
2023	J	`jnl`	BERRY: Bit Error Robustness for Energy-Efficient Reinforcement Learning-Based Autonomous Systems. CoRR Zishen Wan, Nandhini Chandramoorthy, Karthik Swaminathan, Pin-Yu Chen, Vijay Janapa Reddi, Arijit Raychowdhury
2023	J	`jnl`	NeuralFuse: Learning to Improve the Accuracy of Access-Limited Neural Network Inference in Low-Voltage Regimes. CoRR Hao-Lun Sun, Lei Hsiung, Nandhini Chandramoorthy, Pin-Yu Chen, Tsung-Yi Ho
2023	J	`jnl`	Random and Adversarial Bit Error Robustness: Energy-Efficient and Secure DNN Accelerators. IEEE Trans. Pattern Anal. Mach. Intell. David Stutz, Nandhini Chandramoorthy, Matthias Hein, Bernt Schiele
2022	—	`conf`	A 12nm Agile-Designed SoC for Swarm-Based Perception with Heterogeneous IP Blocks, a Reconfigurable Memory Hierarchy, and an 800MHz Multi-Plane NoC. ESSCIRC 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
2022	A	`conf`	A Scalable Methodology for Agile Chip Development with Open-Source Hardware Components. ICCAD 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
2022	A	`conf`	Analyzing and Improving Resilience and Robustness of Autonomous Systems. ICCAD Zishen Wan, Karthik Swaminathan, Pin-Yu Chen, Nandhini Chandramoorthy, Arijit Raychowdhury
2022	A	`conf`	BoFL: bayesian optimized local training pace control for energy efficient federated learning. Middleware Hongpeng Guo, Haotian Gu, Zhe Yang, Xiaoyang Wang, Eun Kyung Lee, Nandhini Chandramoorthy, Tamar Eilam, Deming Chen, Klara Nahrstedt
2021	—	`conf`	Bit Error Robustness for Energy-Efficient DNN Accelerators. MLSys David Stutz, Nandhini Chandramoorthy, Matthias Hein, Bernt Schiele
2021	A	`conf`	Crossbar based Processing in Memory Accelerator Architecture for Graph Convolutional Networks. ICCAD Nagadastagiri Challapalle, Karthik Swaminathan, Nandhini Chandramoorthy, Vijaykrishnan Narayanan
2021	A*	`conf`	Energy Efficiency Boost in the AI-Infused POWER10 Processor. ISCA 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
2021	J	`jnl`	Random and Adversarial Bit Error Robustness: Energy-Efficient and Secure DNN Accelerators. CoRR David Stutz, Nandhini Chandramoorthy, Matthias Hein, Bernt Schiele
2020	A*	`conf`	GaaS-X: Graph Analytics Accelerator Supporting Sparse Data Representation using Crossbar Architectures. ISCA Nagadastagiri Challapalle, Sahithi Rampalli, Linghao Song, Nandhini Chandramoorthy, Karthik Swaminathan, John Sampson, Yiran Chen, Vijaykrishnan Narayanan
2020	J	`jnl`	On Mitigating Random and Adversarial Bit Errors. CoRR David Stutz, Nandhini Chandramoorthy, Matthias Hein, Bernt Schiele
2019	A*	`conf`	Resilient Low Voltage Accelerators for High Energy Efficiency. HPCA Nandhini Chandramoorthy, Karthik Swaminathan, Martin Cochet, Arun Paidimarri, Schuyler Eldridge, Rajiv V. Joshi, Matthew M. Ziegler, Alper Buyuktosunoglu, Pradip Bose
2018	—	`conf`	Cascaded and resonant SRAM supply boosting for ultra-low voltage cognitive IoT applications. CICC Rajiv V. Joshi, Matthew M. Ziegler, Karthik Swaminathan, Nandhini Chandramoorthy
2017	A*	`conf`	BRAVO: Balanced Reliability-Aware Voltage Optimization. HPCA Karthik Swaminathan, Nandhini Chandramoorthy, Chen-Yong Cher, Ramon Bertran, Alper Buyuktosunoglu, Pradip Bose
2017	C	`conf`	Very Low Voltage (VLV) Design. ICCD Ramon Bertran, Pradip Bose, David M. Brooks, Jeff Burns, Alper Buyuktosunoglu, Nandhini Chandramoorthy, Eric Cheng, Martin Cochet, Schuyler Eldridge, Daniel J. 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
2016	J	`jnl`	Enabling New Computation Paradigms with HyperFET - An Emerging Device. IEEE Trans. Multi Scale Comput. Syst. 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
2015	A*	`conf`	Exploring architectural heterogeneity in intelligent vision systems. HPCA Nandhini Chandramoorthy, Giuseppe Tagliavini, Kevin M. Irick, Antonio Pullini, Siddharth Advani, Sulaiman Al Habsi, Matthew Cotter, John Sampson, Vijaykrishnan Narayanan, Luca Benini
2015	—	`conf`	Using Multiple-Input NEMS for Parallel A/D Conversion and Image Processing. ISVLSI Kaisheng Ma, Nandhini Chandramoorthy, Xueqing Li, Sumeet Kumar Gupta, John Sampson, Yuan Xie, Vijaykrishnan Narayanan
2014	J	`jnl`	Accelerating Multiresolution Gabor Feature Extraction for Real Time Vision Applications. J. Signal Process. Syst. Yong Cheol Peter Cho, Nandhini Chandramoorthy, Kevin M. Irick, Vijaykrishnan Narayanan
2014	—	`conf`	Achieving High-Performance Video Analytics with Lightweight Cores and a Sea of Hardware Accelerators. ISVLSI Kevin M. Irick, Nandhini Chandramoorthy
2014	A	`conf`	Modeling steep slope devices: From circuits to architectures. DATE Karthik Swaminathan, Moon Seok Kim, Nandhini Chandramoorthy, Behnam Sedighi, Robert Perricone, Jack Sampson, Vijaykrishnan Narayanan
2014	C	`conf`	Refresh Enabled Video Analytics (REVA): Implications on power and performance of DRAM supported embedded visual systems. ICCD Siddharth Advani, Nandhini Chandramoorthy, Karthik Swaminathan, Kevin M. Irick, Yong Cheol Peter Cho, Jack Sampson, Vijaykrishnan Narayanan
2014	—	`conf`	Understanding the landscape of accelerators for vision. SiPS Nandhini Chandramoorthy, Karthik Swaminathan, Matthew Cotter, Xueqing Li, Indranil Palit, Xiaobo Sharon Hu, Michael T. Niemier, Kevin M. Irick
2013	Misc	`conf`	A Configurable Architecture for a Visual Saliency System and Its Application in Retail. FCCM Nandhini Chandramoorthy, Siddharth Advani, Kevin M. Irick, Vijaykrishnan Narayanan
2013	J	`jnl`	Hardware Acceleration for Neuromorphic Vision Algorithms. J. Signal Process. Syst. Ahmed Al-Maashri, Matthew Cotter, Nandhini Chandramoorthy, Michael DeBole, Chi-Li Yu, Vijaykrishnan Narayanan, Chaitali Chakrabarti
2012	A*	`conf`	Accelerating neuromorphic vision algorithms for recognition. DAC Ahmed Al-Maashri, Michael DeBole, Matthew Cotter, Nandhini Chandramoorthy, Yang Xiao, Vijaykrishnan Narayanan, Chaitali Chakrabarti
2012	—	`conf`	Multiresolution Gabor Feature Extraction for Real Time Applications. SiPS Yong Cheol Peter Cho, Nandhini Chandramoorthy, Kevin M. Irick, Vijaykrishnan Narayanan
2012	J	`jnl`	System-On-Chip for Biologically Inspired Vision Applications. Inf. Media Technol. Sungho Park, Ahmed Al-Maashri, Kevin M. Irick, Aarti Chandrashekhar, Matthew Cotter, Nandhini Chandramoorthy, Michael DeBole, Vijaykrishnan Narayanan
2012	J	`jnl`	System-On-Chip for Biologically Inspired Vision Applications. IPSJ Trans. Syst. LSI Des. Methodol. Sungho Park, Ahmed Al-Maashri, Kevin M. Irick, Aarti Chandrashekhar, Matthew Cotter, Nandhini Chandramoorthy, Michael DeBole, Vijaykrishnan Narayanan