Zhenman Fang

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 83

Top Topics

Top Venues

ACM Trans. Reconfigurable Technol. Syst.

Publications

Manoj B. Rajashekar, Xingyu Tian, Zhenman Fang
HiSpMV: Hybrid Row Distribution and Vector Buffering for Imbalanced SpMV Acceleration on FPGAs. FPGA (2024)
Geng Yang, Jie Lei, Zhenman Fang, Jiaqing Zhang, Junrong Zhang, Weiying Xie, Yunsong Li
E4SA: An Ultra-Efficient Systolic Array Architecture for 4-Bit Convolutional Neural Networks. FPGA (2024)
Zhengang Li, Alec Lu, Yanyue Xie, Zhenglun Kong, Mengshu Sun, Hao Tang, Zhong Jia Xue, Peiyan Dong, Caiwen Ding, Yanzhi Wang, Xue Lin, Zhenman Fang
Quasar-ViT: Hardware-Oriented Quantization-Aware Architecture Search for Vision Transformers. CoRR (2024)
Jürgen Becker, Zhenman Fang, Viktor K. Prasanna, Marco D. Santambrogio, Ramachandran Vaidyanathan
31st Reconfigurable Architectures Workshop (RAW 2024). IPDPS (Workshops) (2024)
Haisheng Fu, Feng Liang, Jie Liang, Zhenman Fang, Guohe Zhang, Jingning Han
Learned Image Compression with Dual-Branch Encoder and Conditional Information Coding. DCC (2024)
Haisheng Fu, Feng Liang, Jie Liang, Zhenman Fang, Guohe Zhang, Jingning Han
Efficient Learned Image Compression with Selective Kernel Residual Module and Channel-Wise Causal Context Model. ICASSP (2024)
Geng Yang, Jie Lei, Zhenman Fang, Yunsong Li, Jiaqing Zhang, Weiying Xie
HyBNN: Quantifying and Optimizing Hardware Efficiency of Binary Neural Networks. ACM Trans. Reconfigurable Technol. Syst. 17 (2) (2024)
Zhengang Li, Alec Lu, Yanyue Xie, Zhenglun Kong, Mengshu Sun, Hao Tang, Zhong Jia Xue, Peiyan Dong, Caiwen Ding, Yanzhi Wang, Xue Lin, Zhenman Fang
Quasar-ViT: Hardware-Oriented Quantization-Aware Architecture Search for Vision Transformers. ICS (2024)
Geng Yang, Jie Lei, Zhenman Fang, Yunsong Li, Jiaqing Zhang, Weiying Xie
HyBNN: Quantifying and Optimizing Hardware Efficiency of Binary Neural Networks. FCCM (2023)
Xingyu Tian, Zhifan Ye, Alec Lu, Licheng Guo, Yuze Chi, Zhenman Fang
SASA: A Scalable and Automatic Stencil Acceleration Framework for Optimized Hybrid Spatial and Temporal Parallelism on HBM-based FPGAs. ACM Trans. Reconfigurable Technol. Syst. 16 (2) (2023)
Jiaqing Zhang, Jie Lei, Weiying Xie, Zhenman Fang, Yunsong Li, Qian Du
SuperYOLO: Super Resolution Assisted Object Detection in Multimodal Remote Sensing Imagery. IEEE Trans. Geosci. Remote. Sens. 61 (2023)
Moazin Khatti, Xingyu Tian, Yuze Chi, Licheng Guo, Jason Cong, Zhenman Fang
PASTA: Programming and Automation Support for Scalable Task-Parallel HLS Programs on Modern Multi-Die FPGAs. FCCM (2023)
Alec Lu, Zhenman Fang
SQL2FPGA: Automatic Acceleration of SQL Query Processing on Modern CPU-FPGA Platforms. FCCM (2023)
Kenneth Liu, Alec Lu, Kartik Samtani, Zhenman Fang, Licheng Guo
CHIP-KNNv2: A Configurable and High-Performance K-Nearest Neighbors Accelerator on HBM-based FPGAs. ACM Trans. Reconfigurable Technol. Syst. 16 (4) (2023)
Eduardo Rhod, Behnam Ghavami, Zhenman Fang, Lesley Shannon
A Cycle-Accurate Soft Error Vulnerability Analysis Framework for FPGA-based Designs. CoRR (2023)
Chen Zhang, Guangyu Sun, Zhenman Fang, Peipei Zhou, Jason Cong
Caffeine: Towards Uniformed Representation and Acceleration for Deep Convolutional Neural Networks. ACM TUR-C (2023)
Geng Yang, Jie Lei, Zhenman Fang, Yunsong Li, Jiaqing Zhang, Weiying Xie
Journal Track Paper ICFPT 2023 : HyBNN: Quantifying and Optimizing Hardware Efficiency of Binary Neural Networks. ICFPT (2023)
Sung-En Chang, Geng Yuan, Alec Lu, Mengshu Sun, Yanyu Li, Xiaolong Ma, Zhengang Li, Yanyue Xie, Minghai Qin, Xue Lin, Zhenman Fang, Yanzhi Wang
ESRU: Extremely Low-Bit and Hardware-Efficient Stochastic Rounding Unit Design for Low-Bit DNN Training. DATE (2023)
Licheng Guo, Yuze Chi, Jason Lau, Linghao Song, Xingyu Tian, Moazin Khatti, Weikang Qiao, Jie Wang, Ecenur Ustun, Zhenman Fang, Zhiru Zhang, Jason Cong
TAPA: A Scalable Task-parallel Dataflow Programming Framework for Modern FPGAs with Co-optimization of HLS and Physical Design. ACM Trans. Reconfigurable Technol. Syst. 16 (4) (2023)
Peiyan Dong, Mengshu Sun, Alec Lu, Yanyue Xie, Kenneth Liu, Zhenglun Kong, Xin Meng, Zhengang Li, Xue Lin, Zhenman Fang, Yanzhi Wang
HeatViT: Hardware-Efficient Adaptive Token Pruning for Vision Transformers. HPCA (2023)
Weikang Qiao, Licheng Guo, Zhenman Fang, Mau-Chung Frank Chang, Jason Cong
TopSort: A High-Performance Two-Phase Sorting Accelerator Optimized on HBM-Based FPGAs. IEEE Trans. Emerg. Top. Comput. 11 (2) (2023)
Xingyu Tian, Zhifan Ye, Alec Lu, Licheng Guo, Yuze Chi, Zhenman Fang
SASA: A Scalable and Automatic Stencil Acceleration Framework for Optimized Hybrid Spatial and Temporal Parallelism on HBM-based FPGAs. CoRR (2022)
Mengshu Sun, Zhengang Li, Alec Lu, Haoyu Ma, Geng Yuan, Yanyue Xie, Hao Tang, Yanyu Li, Miriam Leeser, Zhangyang Wang, Xue Lin, Zhenman Fang
FPGA-aware automatic acceleration framework for vision transformer with mixed-scheme quantization: late breaking results. DAC (2022)
Weikang Qiao, Licheng Guo, Zhenman Fang, Mau-Chung Frank Chang, Jason Cong
TopSort: A High-Performance Two-Phase Sorting Accelerator Optimized on HBM-based FPGAs. FCCM (2022)
Licheng Guo, Yuze Chi, Jason Lau, Linghao Song, Xingyu Tian, Moazin Khatti, Weikang Qiao, Jie Wang, Ecenur Ustun, Zhenman Fang, Zhiru Zhang, Jason Cong
TAPA: A Scalable Task-Parallel Dataflow Programming Framework for Modern FPGAs with Co-Optimization of HLS and Physical Design. CoRR (2022)
Alec Lu, Zhenman Fang, Lesley Shannon
Demystifying the Soft and Hardened Memory Systems of Modern FPGAs for Software Programmers through Microbenchmarking. ACM Trans. Reconfigurable Technol. Syst. 15 (4) (2022)
Behnam Ghavami, Mani Sadati, Mohammad Shahidzadeh, Zhenman Fang, Lesley Shannon
Blind Data Adversarial Bit-flip Attack against Deep Neural Networks. DSD (2022)
Sathish Panchapakesan, Zhenman Fang, Jian Li
SyncNN: Evaluating and Accelerating Spiking Neural Networks on FPGAs. ACM Trans. Reconfigurable Technol. Syst. 15 (4) (2022)
Zhengang Li, Mengshu Sun, Alec Lu, Haoyu Ma, Geng Yuan, Yanyue Xie, Hao Tang, Yanyu Li, Miriam Leeser, Zhangyang Wang, Xue Lin, Zhenman Fang
Auto-ViT-Acc: An FPGA-Aware Automatic Acceleration Framework for Vision Transformer with Mixed-Scheme Quantization. FPL (2022)
Weikang Qiao, Licheng Guo, Zhenman Fang, Mau-Chung Frank Chang, Jason Cong
TopSort: A High-Performance Two-Phase Sorting Accelerator Optimized on HBM-based FPGAs. CoRR (2022)
Mengshu Sun, Zhengang Li, Alec Lu, Yanyu Li, Sung-En Chang, Xiaolong Ma, Xue Lin, Zhenman Fang
FILM-QNN: Efficient FPGA Acceleration of Deep Neural Networks with Intra-Layer, Mixed-Precision Quantization. FPGA (2022)
Sung-En Chang, Geng Yuan, Alec Lu, Mengshu Sun, Yanyu Li, Xiaolong Ma, Zhengang Li, Yanyue Xie, Minghai Qin, Xue Lin, Zhenman Fang, Yanzhi Wang
Hardware-efficient stochastic rounding unit design for DNN training: late breaking results. DAC (2022)
Behnam Ghavami, Mani Sadati, Zhenman Fang, Lesley Shannon
FitAct: Error Resilient Deep Neural Networks via Fine-Grained Post-Trainable Activation Functions. DATE (2022)
Peiyan Dong, Mengshu Sun, Alec Lu, Yanyue Xie, Kenneth Liu, Zhenglun Kong, Xin Meng, Zhengang Li, Xue Lin, Zhenman Fang, Yanzhi Wang
HeatViT: Hardware-Efficient Adaptive Token Pruning for Vision Transformers. CoRR (2022)
Geng Yang, Jie Lei, Weiying Xie, Zhenman Fang, Yunsong Li, Jiaxuan Wang, Xin Zhang
Algorithm/Hardware Codesign for Real-Time On-Satellite CNN-Based Ship Detection in SAR Imagery. IEEE Trans. Geosci. Remote. Sens. 60 (2022)
Behnam Ghavami, Mahdi Sajedi, Mohsen Raji, Zhenman Fang, Lesley Shannon
A Majority-based Approximate Adder for FPGAs. DSD (2022)
Zhengang Li, Mengshu Sun, Alec Lu, Haoyu Ma, Geng Yuan, Yanyue Xie, Hao Tang, Yanyu Li, Miriam Leeser, Zhangyang Wang, Xue Lin, Zhenman Fang
Auto-ViT-Acc: An FPGA-Aware Automatic Acceleration Framework for Vision Transformer with Mixed-Scheme Quantization. CoRR (2022)
Behnam Ghavami, Seyd Movi, Zhenman Fang, Lesley Shannon
Stealthy Attack on Algorithmic-Protected DNNs via Smart Bit Flipping. ISQED (2022)
Geng Yuan, Sung-En Chang, Qing Jin, Alec Lu, Yanyu Li, Yushu Wu, Zhenglun Kong, Yanyue Xie, Peiyan Dong, Minghai Qin, Xiaolong Ma, Xulong Tang, Zhenman Fang, Yanzhi Wang
You Already Have It: A Generator-Free Low-Precision DNN Training Framework Using Stochastic Rounding. ECCV (12) (2022)
Jiaqing Zhang, Jie Lei, Weiying Xie, Zhenman Fang, Yunsong Li, Qian Du
SuperYOLO: Super Resolution Assisted Object Detection in Multimodal Remote Sensing Imagery. CoRR (2022)
Christian Pilato, Zhenman Fang, Yuko Hara-Azumi, Jim Hwang
Introduction to the Special Section on High-level Synthesis for FPGA: Next-generation Technologies and Applications. ACM Trans. Design Autom. Electr. Syst. 27 (4) (2022)
Eric Matthews, Alec Lu, Zhenman Fang, Lesley Shannon
Quick-Div: Rethinking Integer Divider Design for FPGA-based Soft-processors. ACM Trans. Reconfigurable Technol. Syst. 15 (3) (2022)
Behnam Ghavami, Seyd Movi, Zhenman Fang, Lesley Shannon
Stealthy Attack on Algorithmic-Protected DNNs via Smart Bit Flipping. CoRR (2021)
Behnam Ghavami, Mani Sadati, Zhenman Fang, Lesley Shannon
FitAct: Error Resilient Deep Neural Networks via Fine-Grained Post-Trainable Activation Functions. CoRR (2021)
Kiarash Saremi, Hossein Pedram, Behnam Ghavami, Mohsen Raji, Zhenman Fang, Lesley Shannon
SeaPlace: Process Variation Aware Placement for Reliable Combinational Circuits against SETs and METs. CoRR (2021)
Behnam Ghavami, Milad Ibrahimipour, Zhenman Fang, Lesley Shannon
MAPLE: A Machine Learning based Aging-Aware FPGA Architecture Exploration Framework. FPL (2021)
Behnam Ghavami, Seyed Milad Ebrahimi, Zhenman Fang, Lesley Shannon
LEAP: A Deep Learning based Aging-Aware Architecture Exploration Framework for FPGAs. FPGA (2021)
Behnam Ghavami, Mani Sadati, Mohammad Shahidzadeh, Zhenman Fang, Lesley Shannon
BDFA: A Blind Data Adversarial Bit-flip Attack on Deep Neural Networks. CoRR (2021)
Alec Lu, Zhenman Fang, Weihua Liu, Lesley Shannon
Demystifying the Memory System of Modern Datacenter FPGAs for Software Programmers through Microbenchmarking. FPGA (2021)
Yi-Hsiang Lai, Ecenur Ustun, Shaojie Xiang, Zhenman Fang, Hongbo Rong, Zhiru Zhang
Programming and Synthesis for Software-defined FPGA Acceleration: Status and Future Prospects. ACM Trans. Reconfigurable Technol. Syst. 14 (4) (2021)
Sathish Panchapakesan, Zhenman Fang, Jian Li
SyncNN: Evaluating and Accelerating Spiking Neural Networks on FPGAs. FPL (2021)
Alec Lu, Zhenman Fang, Nazanin Farahpour, Lesley Shannon
CHIP-KNN: A Configurable and High-Performance K-Nearest Neighbors Accelerator on Cloud FPGAs. FPT (2020)
Seyed Milad Ebrahimipour, Behnam Ghavami, Hamid Mousavi, Mohsen Raji, Zhenman Fang, Lesley Shannon
Aadam: A Fast, Accurate, and Versatile Aging-Aware Cell Library Delay Model using Feed-Forward Neural Network. ICCAD (2020)
Nazanin Farahpour, Zhenman Fang, Glenn Reinman
FPGA-based Near Data Processing Platform Selection Using Fast Performance Modeling (WiP Paper). LCTES (2020)
Sathish Panchapakesan, Zhenman Fang, Nitin Chandrachoodan
EASpiNN: Effective Automated Spiking Neural Network Evaluation on FPGA. FCCM (2020)
Nazanin Farahpour, Yuchen Hao, Zhenman Fang, Glenn Reinman
Reconfigurable Accelerator Compute Hierarchy: A Case Study using Content-Based Image Retrieval. IISWC (2020)
Michael Lo, Zhenman Fang, Jie Wang, Peipei Zhou, Mau-Chung Frank Chang, Jason Cong
Algorithm-Hardware Co-design for BQSR Acceleration in Genome Analysis ToolKit. FCCM (2020)
Chen Zhang, Guangyu Sun, Zhenman Fang, Peipei Zhou, Peichen Pan, Jason Cong
Caffeine: Toward Uniformed Representation and Acceleration for Deep Convolutional Neural Networks. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 38 (11) (2019)
Eric Matthews, Alec Lu, Zhenman Fang, Lesley Shannon
Rethinking Integer Divider Design for FPGA-Based Soft-Processors. FCCM (2019)
Young-kyu Choi, Jason Cong, Zhenman Fang, Yuchen Hao, Glenn Reinman, Peng Wei
In-Depth Analysis on Microarchitectures of Modern Heterogeneous CPU-FPGA Platforms. ACM Trans. Reconfigurable Technol. Syst. 12 (1) (2019)
Weikang Qiao, Zhenman Fang, Mau-Chung Frank Chang, Jason Cong
An FPGA-Based BWT Accelerator for Bzip2 Data Compression. FCCM (2019)
Zhenman Fang, Farnoosh Javadi, Jason Cong, Glenn Reinman
Understanding Performance Gains of Accelerator-Rich Architectures. ASAP (2019)
Jason Cong, Zhenman Fang, Muhuan Huang, Peng Wei, Di Wu, Cody Hao Yu
Customizable Computing - From Single Chip to Datacenters. Proc. IEEE 107 (1) (2019)
Weikang Qiao, Jieqiong Du, Zhenman Fang, Libo Wang, Michael Lo, Mau-Chung Frank Chang, Jason Cong
High-Throughput Lossless Compression on Tightly Coupled CPU-FPGA Platforms: (Abstract Only). FPGA (2018)
Peipei Zhou, Zhenyuan Ruan, Zhenman Fang, Megan Shand, David Roazen, Jason Cong
Doppio: I/O-Aware Performance Analysis, Modeling and Optimization for In-memory Computing Framework. ISPASS (2018)
Weikang Qiao, Jieqiong Du, Zhenman Fang, Michael Lo, Mau-Chung Frank Chang, Jason Cong
High-Throughput Lossless Compression on Tightly Coupled CPU-FPGA Platforms. FCCM (2018)
Jason Cong, Zhenman Fang, Muhuan Huang, Libo Wang, Di Wu
CPU-FPGA Coscheduling for Big Data Applications. IEEE Des. Test 35 (1) (2018)
Jason Cong, Zhenman Fang, Yao Hu, Di Wu
K-Flow: A Programming and Scheduling Framework to Optimize Dataflow Execution on CPU-FPGA Platforms: (Abstract Only). FPGA (2018)
Jason Cong, Zhenman Fang, Michael Lo, Hanrui Wang, Jingxian Xu, Shaochong Zhang
Understanding Performance Differences of FPGAs and GPUs: (Abtract Only). FPGA (2018)
Jason Cong, Zhenman Fang, Yuchen Hao, Peng Wei, Cody Hao Yu, Chen Zhang, Peipei Zhou
Best-Effort FPGA Programming: A Few Steps Can Go a Long Way. CoRR (2018)
Jason Cong, Zhenman Fang, Michael Lo, Hanrui Wang, Jingxian Xu, Shaochong Zhang
Understanding Performance Differences of FPGAs and GPUs. FCCM (2018)
Yuchen Hao, Zhenman Fang, Glenn Reinman, Jason Cong
Supporting Address Translation for Accelerator-Centric Architectures. HPCA (2017)
Jason Cong, Zhenman Fang, Muhuan Huang, Libo Wang, Di Wu
CPU-FPGA Co-Optimization for Big Data Applications: A Case Study of In-Memory Samtool Sorting (Abstract Only). FPGA (2017)
Jason Cong, Zhenman Fang, Michael Gill, Farnoosh Javadi, Glenn Reinman
AIM: accelerating computational genomics through scalable and noninvasive accelerator-interposed memory. MEMSYS (2017)
Jason Cong, Zhenman Fang, Hassan Kianinejad, Peng Wei
Revisiting FPGA Acceleration of Molecular Dynamics Simulation with Dynamic Data Flow Behavior in High-Level Synthesis. CoRR (2016)
Yu-Ting Chen, Jason Cong, Zhenman Fang, Jie Lei, Peng Wei
When Spark Meets FPGAs: A Case Study for Next-Generation DNA Sequencing Acceleration. FCCM (2016)
Yu-Ting Chen, Jason Cong, Zhenman Fang, Jie Lei, Peng Wei
When Spark Meets FPGAs: A Case Study for Next-Generation DNA Sequencing Acceleration. HotCloud (2016)
Yu-Ting Chen, Jason Cong, Zhenman Fang, Peipei Zhou
ARAPrototyper: Enabling Rapid Prototyping and Evaluation for Accelerator-Rich Architecture (Abstact Only). FPGA (2016)
Yu-Ting Chen, Jason Cong, Zhenman Fang, Bingjun Xiao, Peipei Zhou
ARAPrototyper: Enabling Rapid Prototyping and Evaluation for Accelerator-Rich Architectures. CoRR (2016)
Chen Zhang, Zhenman Fang, Peipei Zhou, Peichen Pan, Jason Cong
Caffeine: towards uniformed representation and acceleration for deep convolutional neural networks. ICCAD (2016)
Peipei Zhou, Hyunseok Park, Zhenman Fang, Jason Cong, André DeHon
Energy Efficiency of Full Pipelining: A Case Study for Matrix Multiplication. FCCM (2016)
Muhuan Huang, Di Wu, Cody Hao Yu, Zhenman Fang, Matteo Interlandi, Tyson Condie, Jason Cong
Programming and Runtime Support to Blaze FPGA Accelerator Deployment at Datacenter Scale. SoCC (2016)
Young-kyu Choi, Jason Cong, Zhenman Fang, Yuchen Hao, Glenn Reinman, Peng Wei
A quantitative analysis on microarchitectures of modern CPU-FPGA platforms. DAC (2016)
Jason Cong, Zhenman Fang, Michael Gill, Glenn Reinman
PARADE: A Cycle-Accurate Full-System Simulation Platform for Accelerator-Rich Architectural Design and Exploration. ICCAD (2015)
Zhenman Fang, Sanyam Mehta, Pen-Chung Yew, Antonia Zhai, James B. S. G. Greensky, Gautham Beeraka, Binyu Zang
Measuring Microarchitectural Details of Multi- and Many-Core Memory Systems through Microbenchmarking. ACM Trans. Archit. Code Optim. 11 (4) (2014)
Sanyam Mehta, Zhenman Fang, Antonia Zhai, Pen-Chung Yew
Multi-stage coordinated prefetching for present-day processors. ICS (2014)
Zhenman Fang, Qinghao Min, Keyong Zhou, Yi Lu, Yibin Hu, Weihua Zhang, Haibo Chen, Jian Li, Binyu Zang
Transformer: a functional-driven cycle-accurate multicore simulator. DAC (2012)
Zhenman Fang, Jiaxin Li, Weihua Zhang, Yi Li, Haibo Chen, Binyu Zang
Improving dynamic prediction accuracy through multi-level phase analysis. LCTES (2012)
Zhenman Fang, Donglei Yang, Weihua Zhang, Haibo Chen, Binyu Zang
A comprehensive analysis and parallelization of an image retrieval algorithm. ISPASS (2011)