Payman Behnam

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All published works

Action	Title	Year	Authors
+ PDF Chat	Real-time Digital RF Emulation -- II: A Near Memory Custom Accelerator	2024	Mandovi Mukherjee Xiangyu Mao Nael Mizanur Rahman Coleman DeLude J. Driscoll Sudarshan Sharma Payman Behnam Uday Kamal Jongseok Woo Daehyun Kim
+	Zero-Space Cost Fault Tolerance for Transformer-based Language Models on ReRAM	2024	Bingbing Li Geng Yuan Zigeng Wang Shaoyi Huang Hongwu Peng Payman Behnam Wujie Wen Huan Liu Caiwen Ding
+	Subgraph Stationary Hardware-Software Inference Co-Design	2023	Payman Behnam Jianming Tong Alind Khare Yangyu Chen Yue Pan Pranav Gadikar Abhimanyu Rajeshkumar Bambhaniya Tushar Krishna Alexey Tumanov
+	ABKD: Graph Neural Network Compression with Attention-Based Knowledge Distillation	2023	Anshul Ahluwalia Rohit Das Payman Behnam Alind Khare Li Pan Alexey Tumanov
+	An Algorithm-Hardware Co-design Framework to Overcome Imperfections of Mixed-signal DNN Accelerators	2022	Payman Behnam Uday Kamal Saibal Mukhopadhyay
+ PDF Chat	FORMS: Fine-grained Polarized ReRAM-based In-situ Computation for Mixed-signal DNN Accelerator	2021	Geng Yuan Payman Behnam Zhengang Li Ali Shafiee Sheng Lin Xiaolong Ma Hang Liu Xuehai Qian Mahdi Nazm Bojnordi Yanzhi Wang
+	FORMS: Fine-grained Polarized ReRAM-based In-situ Computation for Mixed-signal DNN Accelerator	2021	Geng Yuan Payman Behnam Zhengang Li Ali Shafiee Sheng Lin Xiaolong Ma Hang Liu Xuehai Qian Mahdi Nazm Bojnordi Yanzhi Wang
+	Validation of Hardware Security and Trust: A Survey	2018	Payman Behnam
+	Automated Formal Equivalence Verification of Pipelined Nested Loops in Datapath Designs.	2017	Payman Behnam Bijan Alizadeh Sajjad Taheri
+	Automated Formal Equivalence Verification of Pipelined Nested Loops in Datapath Designs	2017	Payman Behnam Bijan Alizadeh Sajjad Taheri

Common Coauthors

Coauthor	Papers Together
Caiwen Ding	3
Geng Yuan	3
Ali Shafiee	2
Uday Kamal	2
Bijan Alizadeh	2
Mahdi Nazm Bojnordi	2
Tushar Krishna	2
Alexey Tumanov	2
Xiaolong Ma	2
Zhengang Li	2
Sajjad Taheri	2
Saibal Mukhopadhyay	2
Sheng Lin	2
Alind Khare	2
Xuehai Qian	2
Yanzhi Wang	2
Jianming Tong	2
Madhavan Swaminathan	1
Anshul Ahluwalia	1
Hang Liu	1
Huan Liu	1
Daehyun Kim	1
Bingbing Li	1
Li Pan	1
Hang Liu	1
Xiangyu Mao	1
Yue Pan	1
Yangyu Chen	1
J. Driscoll	1
Prachi Sinha	1
Coleman DeLude	1
Abhimanyu Rajeshkumar Bambhaniya	1
Zigeng Wang	1
Sharjeel Khan	1
Rohit Das	1
Mandovi Mukherjee	1
Sudarshan Sharma	1
Justin Romberg	1
Hongwu Peng	1
Pranav Gadikar	1
Santosh Pande	1
Wujie Wen	1
Shaoyi Huang	1
Jamin Seo	1
Jongseok Woo	1
Nael Mizanur Rahman	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	SS-Auto: A Single-Shot, Automatic Structured Weight Pruning Framework of DNNs with Ultra-High Efficiency	2020	Zhengang Li Yifan Gong Xiaolong Ma Sijia Liu Mengshu Sun Zheng Zhan Zhenglun Kong Geng Yuan Yanzhi Wang	2
+ PDF Chat	Tiny but Accurate: A Pruned, Quantized and Optimized Memristor Crossbar Framework for Ultra Efficient DNN Implementation	2020	Xiaolong Ma Geng Yuan Sheng Lin Caiwen Ding Fuxun Yu Tao Liu Wujie Wen Xiang Chen Yanzhi Wang	2
+ PDF Chat	A Systematic DNN Weight Pruning Framework Using Alternating Direction Method of Multipliers	2018	Tianyun Zhang Shaokai Ye Kaiqi Zhang Jian Tang Wujie Wen Makan Fardad Yanzhi Wang	2
+ PDF Chat	ResNet Can Be Pruned 60×: Introducing Network Purification and Unused Path Removal (P-RM) after Weight Pruning	2019	Xiaolong Ma Geng Yuan Sheng Lin Zhengang Li Hao Sun Yanzhi Wang	2
+	RAPIDNN: In-Memory Deep Neural Network Acceleration Framework	2018	Mohsen Imani Mohammad Samragh Yeseong Kim Saransh Gupta Farinaz Koushanfar Tajana Rosing	2
+	YOLObile: Real-Time Object Detection on Mobile Devices via Compression-Compilation Co-Design	2020	Yuxuan Cai Hongjia Li Geng Yuan Wei Niu Yanyu Li Xulong Tang Bin Ren Yanzhi Wang	2
+ PDF Chat	AMC: AutoML for Model Compression and Acceleration on Mobile Devices	2018	Yihui He Ji Lin Zhijian Liu Hanrui Wang Li-Jia Li Song Han	2
+ PDF Chat	C <scp>ir</scp> CNN	2017	Caiwen Ding Siyu Liao Yanzhi Wang Zhe Li Ning Liu Youwei Zhuo Chao Wang Xuehai Qian Yu Bai Geng Yuan	2
+	In situ learning using intrinsic memristor variability via Markov chain Monte Carlo sampling	2021	Thomas Dalgaty N. Castellani Clément Turck Kamel-Eddine Harabi Damien Querlioz Elisa Vianello	2
+	Non-Structured DNN Weight Pruning—Is It Beneficial in Any Platform?	2021	Xiaolong Ma Sheng Lin Shaokai Ye Zhezhi He Linfeng Zhang Geng Yuan Sia Huat Tan Zhengang Li Deliang Fan Xuehai Qian	2
+ PDF Chat	Filter Pruning via Geometric Median for Deep Convolutional Neural Networks Acceleration	2019	Yang He Ping Liu Ziwei Wang Zhilan Hu Yi Yang	2
+	Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift	2015	Sergey Ioffe Christian Szegedy	2
+ PDF Chat	Quantized Convolutional Neural Networks for Mobile Devices	2016	Jiaxiang Wu Cong Leng Yuhang Wang Qinghao Hu Jian Cheng	2
+ PDF Chat	Convergence Analysis of Alternating Direction Method of Multipliers for a Family of Nonconvex Problems	2016	Mingyi Hong Zhi-Quan Luo Meisam Razaviyayn	2
+ PDF Chat	Learning Efficient Convolutional Networks through Network Slimming	2017	Zhuang Liu Jianguo Li Zhiqiang Shen Gao Huang Shoumeng Yan Changshui Zhang	2
+	Learning Structured Sparsity in Deep Neural Networks	2016	Wei Wen Chunpeng Wu Yandan Wang Yiran Chen Hai Li	2
+ PDF Chat	Newton: Gravitating Towards the Physical Limits of Crossbar Acceleration	2018	Anirban Nag Rajeev Balasubramonian Vivek Srikumar Ross Walker Ali Shafiee John Paul Strachan Naveen Muralimanohar	2
+ PDF Chat	You Only Look Once: Unified, Real-Time Object Detection	2016	Joseph Redmon Santosh Divvala Ross Girshick Ali Farhadi	2
+ PDF Chat	Towards Ultra-High Performance and Energy Efficiency of Deep Learning Systems: An Algorithm-Hardware Co-Optimization Framework	2018	Yanzhi Wang Caiwen Ding Zhe Li Geng Yuan Siyu Liao Xiaolong Ma Bo Yuan Xuehai Qian Jian Tang Qinru Qiu	2
+	In-Datacenter Performance Analysis of a Tensor Processing Unit	2017	Norman P. Jouppi Cliff Young Nishant Patil David A. Patterson Gaurav Agrawal Raminder Bajwa S. C. Bates Suresh Bhatia Nan Boden Al Borchers	2
+ PDF Chat	An area and energy efficient design of domain-wall memory-based deep convolutional neural networks using stochastic computing	2018	Xiaolong Ma Yipeng Zhang Geng Yuan Ao Ren Zhe Li Jie Han Jingtong Hu Yanzhi Wang	2
+	Multiscale Co-Design Analysis of Energy, Latency, Area, and Accuracy of a ReRAM Analog Neural Training Accelerator	2018	Matthew Marinella Sapan Agarwal Alexander H. Hsia Isaac Richter Robin Jacobs-Gedrim John Niroula Steven J. Plimpton Engin İpek Conrad D. James	2
+ PDF Chat	Learning to Track at 100 FPS with Deep Regression Networks	2016	David Held Sebastian Thrun Silvio Savarese	2
+ PDF Chat	An Ultra-Efficient Memristor-Based DNN Framework with Structured Weight Pruning and Quantization Using ADMM	2019	Geng Yuan Xiaolong Ma Caiwen Ding Sheng Lin Tianyun Zhang Zeinab S. Jalali Yilong Zhao Li Jiang Sucheta Soundarajan Yanzhi Wang	2
+	A SOT-MRAM-based Processing-In-Memory Engine for Highly Compressed DNN Implementation	2019	Geng Yuan Xiaolong Ma Sheng Lin Zhengang Li Caiwen Ding	2
+	Basic Performance Measurements of the Intel Optane DC Persistent Memory Module	2019	Joseph Izraelevitz Jian Yang Lu Zhang Juno Kim Xiao Liu Amirsaman Memaripour Yun Joon Soh Zixuan Wang Yi Xu Subramanya R. Dulloor	1
+	On polynomial functions (mod m)	1974	David Singmaster	1
+	A GENERALIZATION OF THE SMARANDACHE FUNCTION TO SEVERAL VARIABLES	2006	Norbert Hungerbühler Bonny Specker	1
+	AMC: AutoML for Model Compression and Acceleration on Mobile Devices	2018	Yihui He Ji Lin Zhijian Liu Hanrui Wang Li-Jia Li Song Han	1
+ PDF Chat	In-Datacenter Performance Analysis of a Tensor Processing Unit	2017	Norman P. Jouppi Cliff Young Nishant Patil David A. Patterson Gaurav Agrawal Raminder Bajwa S. C. Bates Suresh Bhatia Nan Boden Al Borchers	1
+	Zeroth-Order Online Alternating Direction Method of Multipliers: Convergence Analysis and Applications	2017	Sijia Liu Jie Chen Pin‐Yu Chen Alfred O. Hero	1
+	Adam: A Method for Stochastic Optimization	2014	Diederik P. Kingma Jimmy Ba	1
+	TIMELY: Pushing Data Movements and Interfaces in PIM Accelerators Towards Local and in Time Domain	2020	Weitao Li Pengfei Xu Yang Zhao Haitong Li Yuan Xie Yingyan Lin	1
+ PDF Chat	Timely: Pushing Data Movements And Interfaces In Pim Accelerators Towards Local And In Time Domain	2020	Weitao Li Pengfei Xu Yang Zhao Haitong Li Yuan Xie Yingyan Lin	1
+	Mixed-Signal Charge-Domain Acceleration of Deep Neural Networks through Interleaved Bit-Partitioned Arithmetic	2020	Soroush Ghodrati Hardik Sharma Sean Kinzer Amir Yazdanbakhsh Jongse Park Nam Sung Kim Doug Burger Hadi Esmaeilzadeh	1
+ PDF Chat	Improving DNN Fault Tolerance using Weight Pruning and Differential Crossbar Mapping for ReRAM-based Edge AI	2021	Geng Yuan Zhiheng Liao Xiaolong Ma Yuxuan Cai Zhenglun Kong Xuan Shen Jingyan Fu Zhengang Li Chengming Zhang Hongwu Peng	1
+	Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift	2015	Sergey Ioffe Christian Szegedy	1