Sanchari Sen - RankMe

32 papers A* 4A 8B 1Journal 16Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	Spyre: An Inference-Optimized Scalable AI Accelerator for Enterprise Workloads. ISSCC Matthew Cohen, Monodeep Kar, Swagath Venkataramani, Viji Srinivasan, Brian Veraa, Matthew M. Ziegler, Nianzheng Cao, Ashish Ranjan, Joel Silberman, Michael Guillorn, Sandra Woodward, JohnDavid Lancaster, Josh Hursey, Kyu-Hyoun Kim, Alberto Mannari, Amrit Nagarajan, Ananda Samajdar, Bahman Hekmatshoartabari, Bob Galbraith, Ching Zhou, David L. Satterfield, Gregory S. Still, Gustavo Tellez, Indira Nair, Indu Masilamanai, Jinwook Jung, Kavi Randhawa, Marcel Schaal, Martin Lutz, Paul Crumley, Philip Jacob, Prasanth Chatarasi, Radhika Jain, Sae Kyu Lee, Sanchari Sen, Sarada Krithivasan, Scot Rider, Shubham Jain, Siyu Koswatta, Thomas Roewer, Tom Gooding, Victor Ferrari, Vidhi Zalani, Zhibin Ren, Kevin Reick, Lisa Maurice, Christopher J. Gonzalez, Chris Catalino, Ryan Nett, Pong-Fei Lu, Robert M. Senger, Leland Chang
2025	J	`jnl`	Breaking the HBM Bit Cost Barrier: Domain-Specific ECC for AI Inference Infrastructure. IEEE Comput. Archit. Lett. Rui Xie, Asad Ul Haq, Yunhua Fang, Linsen Ma, Sanchari Sen, Swagath Venkataramani, Liu Liu, Tong Zhang
2025	J	`jnl`	Breaking the HBM Bit Cost Barrier: Domain-Specific ECC for AI Inference Infrastructure. CoRR Rui Xie, Asad Ul Haq, Yunhua Fang, Linsen Ma, Sanchari Sen, Swagath Venkataramani, Liu Liu, Tong Zhang
2025	J	`jnl`	Making Strong Error-Correcting Codes Work Effectively for HBM in AI Inference. CoRR Rui Xie, Yunhua Fang, Asad Ul Haq, Linsen Ma, Sanchari Sen, Swagath Venkataramani, Liu Liu, Tong Zhang
2025	J	`jnl`	Power-Limited Inference Performance Optimization Using a Software-Assisted Peak Current Regulation Scheme in a 5-nm AI SoC. IEEE J. Solid State Circuits Monodeep Kar, Joel Silberman, Swagath Venkataramani, Viji Srinivasan, Bruce M. Fleischer, Joshua Rubin, JohnDavid Lancaster, Sae Kyu Lee, Matthew Cohen, Matthew M. Ziegler, Nianzheng Cao, Sandra Woodward, Ankur Agrawal, Ching Zhou, Prasanth Chatarasi, Thomas Gooding, Michael Guillorn, Bahman Hekmatshoartabari, Philip Jacob, Radhika Jain, Shubham Jain, Jinwook Jung, Kyu-Hyoun Kim, Siyu Koswatta, Martin Lutz, Alberto Mannari, Abey Mathew, Indira Nair, Ashish Ranjan, Zhibin Ren, Scot Rider, Thomas Röwer, David L. Satterfield, Marcel Schaal, Sanchari Sen, Gustavo Tellez, Hung Tran, Wei Wang, Vidhi Zalani, Jintao Zhang, Xin Zhang, Vinay Shah, Robert M. Senger, Arvind Kumar, Pong-Fei Lu, Leland Chang
2024	—	`conf`	14.1 A Software-Assisted Peak Current Regulation Scheme to Improve Power-Limited Inference Performance in a 5nm AI SoC. ISSCC Monodeep Kar, Joel Silberman, Swagath Venkataramani, Viji Srinivasan, Bruce M. Fleischer, Joshua Rubin, JohnDavid Lancaster, Sae Kyu Lee, Matthew Cohen, Matthew M. Ziegler, Nianzheng Cao, Sandra Woodward, Ankur Agrawal, Ching Zhou, Prasanth Chatarasi, Thomas Gooding, Michael Guillorn, Bahman Hekmatshoartabari, Philip Jacob, Radhika Jain, Shubham Jain, Jinwook Jung, Kyu-Hyoun Kim, Siyu Koswatta, Martin Lutz, Alberto Mannari, Abey Mathew, Indira Nair, Ashish Ranjan, Zhibin Ren, Scot Rider, Thomas Roewer, David L. Satterfield, Marcel Schaal, Sanchari Sen, Gustavo Tellez, Hung Tran, Wei Wang, Vidhi Zalani, Jintao Zhang, Xin Zhang, Vinay Shah, Robert M. Senger, Arvind Kumar, Pong-Fei Lu, Leland Chang
2024	J	`jnl`	DNNDaSher: A Compiler Framework for Dataflow Compatible End-to-End Acceleration on IBM AIU. IEEE Micro Sanchari Sen, Shubham Jain, Sarada Krithivasan, Swagath Venkataramani, Vijayalakshmi Srinivasan
2024	J	`jnl`	MixTrain: accelerating DNN training via input mixing. Frontiers Artif. Intell. Sarada Krithivasan, Sanchari Sen, Swagath Venkataramani, Anand Raghunathan
2024	J	`jnl`	SmartQuant: CXL-Based AI Model Store in Support of Runtime Configurable Weight Quantization. IEEE Comput. Archit. Lett. Rui Xie, Asad Ul Haq, Linsen Ma, Krystal Sun, Sanchari Sen, Swagath Venkataramani, Liu Liu, Tong Zhang
2024	J	`jnl`	SmartQuant: CXL-based AI Model Store in Support of Runtime Configurable Weight Quantization. CoRR Rui Xie, Asad Ul Haq, Linsen Ma, Krystal Sun, Sanchari Sen, Swagath Venkataramani, Liu Liu, Tong Zhang
2022	B	`conf`	AxFormer: Accuracy-driven Approximation of Transformers for Faster, Smaller and more Accurate NLP Models. IJCNN Amrit Nagarajan, Sanchari Sen, Jacob R. Stevens, Anand Raghunathan
2022	A*	`conf`	Deep Compression of Pre-trained Transformer Models. NeurIPS Naigang Wang, Chi-Chun (Charlie) Liu, Swagath Venkataramani, Sanchari Sen, Chia-Yu Chen, Kaoutar El Maghraoui, Vijayalakshmi Srinivasan, Leland Chang
2022	A*	`conf`	Efficiency attacks on spiking neural networks. DAC Sarada Krithivasan, Sanchari Sen, Nitin Rathi, Kaushik Roy, Anand Raghunathan
2022	A	`conf`	Layerwise Disaggregated Evaluation of Spiking Neural Networks. ISLPED Abinand Nallathambi, Sanchari Sen, Anand Raghunathan, Nitin Chandrachoodan
2022	A	`conf`	Seprox: Sequence-Based Approximations for Compressing Ultra-Low Precision Deep Neural Networks. ICCAD Aradhana Mohan Parvathy, Sarada Krithivasan, Sanchari Sen, Anand Raghunathan
2021	A	`conf`	Efficacy of Pruning in Ultra-Low Precision DNNs. ISLPED Sanchari Sen, Swagath Venkataramani, Anand Raghunathan
2021	J	`jnl`	Quantifying the Brain Predictivity of Artificial Neural Networks With Nonlinear Response Mapping. Frontiers Comput. Neurosci. Aditi Anand, Sanchari Sen, Kaushik Roy
2021	A*	`conf`	RaPiD: AI Accelerator for Ultra-low Precision Training and Inference. ISCA Swagath Venkataramani, Vijayalakshmi Srinivasan, Wei Wang, Sanchari Sen, Jintao Zhang, Ankur Agrawal, Monodeep Kar, Shubham Jain, Alberto Mannari, Hoang Tran, Yulong Li, Eri Ogawa, Kazuaki Ishizaki, Hiroshi Inoue, Marcel Schaal, Mauricio J. Serrano, Jungwook Choi, Xiao Sun, Naigang Wang, Chia-Yu Chen, Allison Allain, James Bonanno, Nianzheng Cao, Robert Casatuta, Matthew Cohen, Bruce M. Fleischer, Michael Guillorn, Howard Haynie, Jinwook Jung, Mingu Kang, Kyu-Hyoun Kim, Siyu Koswatta, Sae Kyu Lee, Martin Lutz, Silvia M. Mueller, Jinwook Oh, Ashish Ranjan, Zhibin Ren, Scot Rider, Kerstin Schelm, Michael Scheuermann, Joel Silberman, Jie Yang, Vidhi Zalani, Xin Zhang, Ching Zhou, Matthew M. Ziegler, Vinay Shah, Moriyoshi Ohara, Pong-Fei Lu, Brian W. Curran, Sunil Shukla, Leland Chang, Kailash Gopalakrishnan
2021	A	`conf`	Value Similarity Extensions for Approximate Computing in General-Purpose Processors. DATE Younghoon Kim, Swagath Venkataramani, Sanchari Sen, Anand Raghunathan
2020	—	`conf`	A Case for Generalizable DNN Cost Models for Mobile Devices. IISWC Vinod Ganesan, Surya Selvam, Sanchari Sen, Pratyush Kumar, Anand Raghunathan
2020	J	`jnl`	Adversarial Sparsity Attacks on Deep Neural Networks. CoRR Sarada Krithivasan, Sanchari Sen, Anand Raghunathan
2020	A*	`conf`	EMPIR: Ensembles of Mixed Precision Deep Networks for Increased Robustness Against Adversarial Attacks. ICLR Sanchari Sen, Balaraman Ravindran, Anand Raghunathan
2020	J	`jnl`	EMPIR: Ensembles of Mixed Precision Deep Networks for Increased Robustness against Adversarial Attacks. CoRR Sanchari Sen, Balaraman Ravindran, Anand Raghunathan
2020	J	`jnl`	Optimizing Transformers with Approximate Computing for Faster, Smaller and more Accurate NLP Models. CoRR Amrit Nagarajan, Sanchari Sen, Jacob R. Stevens, Anand Raghunathan
2020	J	`jnl`	Sparsity Turns Adversarial: Energy and Latency Attacks on Deep Neural Networks. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Sarada Krithivasan, Sanchari Sen, Anand Raghunathan
2020	A	`conf`	Sparsity-Aware Caches to Accelerate Deep Neural Networks. DATE Vinod Ganesan, Sanchari Sen, Pratyush Kumar, Neel Gala, Kamakoti Veezhinathan, Anand Raghunathan
2019	A	`conf`	Dynamic Spike Bundling for Energy-Efficient Spiking Neural Networks. ISLPED Sarada Krithivasan, Sanchari Sen, Swagath Venkataramani, Anand Raghunathan
2019	J	`jnl`	SparCE: Sparsity Aware General-Purpose Core Extensions to Accelerate Deep Neural Networks. IEEE Trans. Computers Sanchari Sen, Shubham Jain, Swagath Venkataramani, Anand Raghunathan
2018	J	`jnl`	Approximate Computing for Long Short Term Memory (LSTM) Neural Networks. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Sanchari Sen, Anand Raghunathan
2017	A	`conf`	A Programmable Event-driven Architecture for Evaluating Spiking Neural Networks. ISLPED Arnab Roy, Swagath Venkataramani, Neel Gala, Sanchari Sen, Kamakoti Veezhinathan, Anand Raghunathan
2017	A	`conf`	Approximate computing for spiking neural networks. DATE Sanchari Sen, Swagath Venkataramani, Anand Raghunathan
2017	J	`jnl`	SparCE: Sparsity aware General Purpose Core Extensions to Accelerate Deep Neural Networks. CoRR Sanchari Sen, Shubham Jain, Swagath Venkataramani, Anand Raghunathan