Zhenman Fang

116 papers A* 7A 21B 14C 2Misc 14Journal 44Unranked 14
YearRankTypeTitle / Venue / Authors
2026 A* conf
An Efficient and Scalable Hardware Architecture for Number Theoretic Transform on FPGA with Design Automation.
HPCA
Yilan Zhu, Geng Yang, Xingyu Tian, Dilshan Kumarathunga, Liang Kong, Xianglong Deng, Shengyu Fan, Guang Fan, Guiming Shi, Lei Chen, Bo Zhang, Yisong Chang, Shoumeng Yan, Zhenman Fang, Mingzhe Zhang
2026 J jnl
FORCv2: A High-Throughput Streaming FPGA Accelerator for Optimized Row Columnar File Format Processing in Big Data Engines.
ACM Trans. Reconfigurable Technol. Syst.
Abdul Wadood, Alec Lu, Haikai Zhao, Zhenman Fang
2026 J jnl
HiSpMM: High Performance High Bandwidth Sparse-Dense Matrix Multiplication on HBM-equipped FPGAs.
ACM Trans. Reconfigurable Technol. Syst.
Ahmad Sedigh Baroughi, Manoj B. Rajashekar, Akhil Raj Baranwal, Zhenman Fang
2026 A conf
SORCERI: Streaming Overlay Acceleration for Highly Contracted Electron Repulsion Integral Computations in Quantum Chemistry.
FPGA
Philip Stachura, Xin Wu, Christian Plessl, Zhenman Fang
2026 B conf
Understanding the Performance of Native Execution in Big Data Engines: The Good, the Bad, and How to Fix It.
EDBT
Haikai Zhao, Zhenman Fang
2026 A conf
vFPGA: Towards Sub-µs Reconfiguration via 3D FPGA and Packaging Co-Design.
FPGA
Nikhil K. Cherukuri, Sharad Nag, Pragnya Sudershan Nalla, Ashish K. Kola, Chetan S. Gadireddi, Kevin Dai, Jae-sun Seo, Zhenman Fang, Jeff Zhang, Yu Cao
2025 J jnl
3DM-WeConvene: Learned Image Compression with 3D Multi-Level Wavelet-Domain Convolution and Entropy Model.
CoRR
Haisheng Fu, Jie Liang, Feng Liang, Zhenman Fang, Guohe Zhang, Jingning Han
2025 Misc conf
AutoNTT: Automatic Architecture Design and Exploration for Number Theoretic Transform Acceleration on FPGAs.
FCCM
Dilshan Kumarathunga, Qilin Hu, Zhenman Fang
2025 J jnl
FEDS: Feature and Entropy-Based Distillation Strategy for Efficient Learned Image Compression.
CoRR
Haisheng Fu, Jie Liang, Zhenman Fang, Jingning Han
2025 J jnl
Introduction to the Special Issue on RAW 2024.
ACM Trans. Reconfigurable Technol. Syst.
Zhenman Fang
2025 J jnl
MAD-HiSpMV: Matrix Adaptive Design with Hybrid Row Distribution for Imbalanced SpMV Acceleration on FPGAs.
ACM Trans. Reconfigurable Technol. Syst.
Manoj B. Rajashekar, Akhil Raj Baranwal, Xingyu Tian, Zhenman Fang
2025 A conf
Perturbation-efficient Zeroth-order Optimization for Hardware-friendly On-device Training.
ICCAD
Qitao Tan, Sung-En Chang, Rui Xia, Huidong Ji, Chence Yang, Ci Zhang, Jun Liu, Zheng Zhan, Zhenman Fang, Zhuo Zou, Yanzhi Wang, Jin Lu, Geng Yuan
2025 J jnl
PoCo: Extending Task-Parallel HLS Programming with Shared Multi-
ACM Trans. Reconfigurable Technol. Syst.
Akhil Raj Baranwal, Zhenman Fang
2025 A conf
SELIC: Semantic-Enhanced Learned Image Compression via High-Level Textual Guidance.
ICME
Haisheng Fu, Jie Liang, Zhenman Fang, Jingning Han
2025 J jnl
ShiftQuant: Toward Accurate and Efficient Sub-8-bit Integer Training.
IEEE Trans. Circuits Syst. Video Technol.
Wenjin Guo, Donglai Liu, Weiying Xie, Yunsong Li, Xuefei Ning, Zihan Meng, Shulin Zeng, Jie Lei, Zhenman Fang, Yu Wang
2024 — conf
31st Reconfigurable Architectures Workshop (RAW 2024).
IPDPS (Workshops)
Jürgen Becker, Zhenman Fang, Viktor K. Prasanna, Marco D. Santambrogio, Ramachandran Vaidyanathan
2024 B conf
BitBlender: Scalable Bloom Filter Acceleration on FPGAs with Dynamic Scheduling.
FPL
Kenneth Liu, Alec Lu, Zhenman Fang
2024 A conf
E4SA: An Ultra-Efficient Systolic Array Architecture for 4-Bit Convolutional Neural Networks.
FPGA
Geng Yang, Jie Lei, Zhenman Fang, Jiaqing Zhang, Junrong Zhang, Weiying Xie, Yunsong Li
2024 Misc conf
Efficient Learned Image Compression with Selective Kernel Residual Module and Channel-Wise Causal Context Model.
ICASSP
Haisheng Fu, Feng Liang, Jie Liang, Zhenman Fang, Guohe Zhang, Jingning Han
2024 — conf
FLUD: A Scalable and Configurable Systolic Array Design for LU Decomposition on FPGAs.
ICFPT
Xingyu Tian, Geng Yang, Zhenman Fang
2024 B conf
FORC: A High-Throughput Streaming FPGA Accelerator for Optimized Row Columnar File Decoders in Big Data Engines.
FPL
Abdul Wadood, Alec Lu, Ken Zhang, Zhenman Fang
2024 J jnl
Fast and High-Performance Learned Image Compression With Improved Checkerboard Context Model, Deformable Residual Module, and Knowledge Distillation.
IEEE Trans. Image Process.
Haisheng Fu, Feng Liang, Jie Liang, Yongqiang Wang, Zhenman Fang, Guohe Zhang, Jingning Han
2024 A conf
HiSpMV: Hybrid Row Distribution and Vector Buffering for Imbalanced SpMV Acceleration on FPGAs.
FPGA
Manoj B. Rajashekar, Xingyu Tian, Zhenman Fang
2024 — conf
HiTC: High-Performance Triangle Counting on HBM-Equipped FPGAs Using HLS.
PACRIM
Junzhe Liang, Manoj B. Rajashekar, Xingyu Tian, Zhenman Fang
2024 J jnl
HyBNN: Quantifying and Optimizing Hardware Efficiency of Binary Neural Networks.
ACM Trans. Reconfigurable Technol. Syst.
Geng Yang, Jie Lei, Zhenman Fang, Yunsong Li, Jiaqing Zhang, Weiying Xie
2024 B conf
Learned Image Compression with Dual-Branch Encoder and Conditional Information Coding.
DCC
Haisheng Fu, Feng Liang, Jie Liang, Zhenman Fang, Guohe Zhang, Jingning Han
2024 J jnl
PASTA: Programming and Automation Support for Scalable Task-Parallel HLS Programs on Modern Multi-Die FPGAs.
ACM Trans. Reconfigurable Technol. Syst.
Moazin Khatti, Xingyu Tian, Ahmad Sedigh Baroughi, Akhil Raj Baranwal, Yuze Chi, Licheng Guo, Jason Cong, Zhenman Fang
2024 A conf
Quasar-ViT: Hardware-Oriented Quantization-Aware Architecture Search for Vision Transformers.
ICS
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
2024 J jnl
Quasar-ViT: Hardware-Oriented Quantization-Aware Architecture Search for Vision Transformers.
CoRR
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
2024 B conf
SA4: A Comprehensive Analysis and Optimization of Systolic Array Architecture for 4-bit Convolutions.
FPL
Geng Yang, Jie Lei, Zhenman Fang, Jiaqing Zhang, Junrong Zhang, Weiying Xie, Yunsong Li
2024 B conf
SDA: Low-Bit Stable Diffusion Acceleration on Edge FPGAs.
FPL
Geng Yang, Yanyue Xie, Zhong Jia Xue, Sung-En Chang, Yanyu Li, Peiyan Dong, Jie Lei, Weiying Xie, Yanzhi Wang, Xue Lin, Zhenman Fang
2024 B conf
SERI: High-Throughput Streaming Acceleration of Electron Repulsion Integral Computation in Quantum Chemistry using HBM-based FPGAs.
FPL
Philip Stachura, Guanyu Li, Xin Wu, Christian Plessl, Zhenman Fang
2024 J jnl
SQL2FPGA: Automated Acceleration of SQL Query Processing on Modern CPU-FPGA Platforms.
ACM Trans. Reconfigurable Technol. Syst.
Alec Lu, Jahanvi Narendra Agrawal, Zhenman Fang
2024 J jnl
Towards Accurate and Efficient Sub-8-Bit Integer Training.
CoRR
Wenjin Guo, Donglai Liu, Weiying Xie, Yunsong Li, Xuefei Ning, Zihan Meng, Shulin Zeng, Jie Lei, Zhenman Fang, Yu Wang
2024 — conf
WeConvene: Learned Image Compression with Wavelet-Domain Convolution and Entropy Model.
ECCV (50)
Haisheng Fu, Jie Liang, Zhenman Fang, Jingning Han, Feng Liang, Guohe Zhang
2023 J jnl
A Cycle-Accurate Soft Error Vulnerability Analysis Framework for FPGA-based Designs.
CoRR
Eduardo Rhod, Behnam Ghavami, Zhenman Fang, Lesley Shannon
2023 J jnl
CHIP-KNNv2: A Configurable and High-Performance K-Nearest Neighbors Accelerator on HBM-based FPGAs.
ACM Trans. Reconfigurable Technol. Syst.
Kenneth Liu, Alec Lu, Kartik Samtani, Zhenman Fang, Licheng Guo
2023 — conf
Caffeine: Towards Uniformed Representation and Acceleration for Deep Convolutional Neural Networks.
ACM TUR-C
Chen Zhang, Guangyu Sun, Zhenman Fang, Peipei Zhou, Jason Cong
2023 A conf
ESRU: Extremely Low-Bit and Hardware-Efficient Stochastic Rounding Unit Design for Low-Bit DNN Training.
DATE
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
2023 A* conf
HeatViT: Hardware-Efficient Adaptive Token Pruning for Vision Transformers.
HPCA
Peiyan Dong, Mengshu Sun, Alec Lu, Yanyue Xie, Kenneth Liu, Zhenglun Kong, Xin Meng, Zhengang Li, Xue Lin, Zhenman Fang, Yanzhi Wang
2023 Misc conf
HyBNN: Quantifying and Optimizing Hardware Efficiency of Binary Neural Networks.
FCCM
Geng Yang, Jie Lei, Zhenman Fang, Yunsong Li, Jiaqing Zhang, Weiying Xie
2023 — conf
Journal Track Paper ICFPT 2023 : HyBNN: Quantifying and Optimizing Hardware Efficiency of Binary Neural Networks.
ICFPT
Geng Yang, Jie Lei, Zhenman Fang, Yunsong Li, Jiaqing Zhang, Weiying Xie
2023 Misc conf
PASTA: Programming and Automation Support for Scalable Task-Parallel HLS Programs on Modern Multi-Die FPGAs.
FCCM
Moazin Khatti, Xingyu Tian, Yuze Chi, Licheng Guo, Jason Cong, Zhenman Fang
2023 J jnl
SASA: A Scalable and Automatic Stencil Acceleration Framework for Optimized Hybrid Spatial and Temporal Parallelism on HBM-based FPGAs.
ACM Trans. Reconfigurable Technol. Syst.
Xingyu Tian, Zhifan Ye, Alec Lu, Licheng Guo, Yuze Chi, Zhenman Fang
2023 Misc conf
SQL2FPGA: Automatic Acceleration of SQL Query Processing on Modern CPU-FPGA Platforms.
FCCM
Alec Lu, Zhenman Fang
2023 J jnl
SuperYOLO: Super Resolution Assisted Object Detection in Multimodal Remote Sensing Imagery.
IEEE Trans. Geosci. Remote. Sens.
Jiaqing Zhang, Jie Lei, Weiying Xie, Zhenman Fang, Yunsong Li, Qian Du
2023 J jnl
TAPA: A Scalable Task-parallel Dataflow Programming Framework for Modern FPGAs with Co-optimization of HLS and Physical Design.
ACM Trans. Reconfigurable Technol. Syst.
Licheng Guo, Yuze Chi, Jason Lau, Linghao Song, Xingyu Tian, Moazin Khatti, Weikang Qiao, Jie Wang, Ecenur Ustun, Zhenman Fang, Zhiru Zhang, Jason Cong
2023 J jnl
TopSort: A High-Performance Two-Phase Sorting Accelerator Optimized on HBM-Based FPGAs.
IEEE Trans. Emerg. Top. Comput.
Weikang Qiao, Licheng Guo, Zhenman Fang, Mau-Chung Frank Chang, Jason Cong
2022 C conf
A Majority-based Approximate Adder for FPGAs.
DSD
Behnam Ghavami, Mahdi Sajedi, Mohsen Raji, Zhenman Fang, Lesley Shannon
2022 J jnl
Algorithm/Hardware Codesign for Real-Time On-Satellite CNN-Based Ship Detection in SAR Imagery.
IEEE Trans. Geosci. Remote. Sens.
Geng Yang, Jie Lei, Weiying Xie, Zhenman Fang, Yunsong Li, Jiaxuan Wang, Xin Zhang
2022 B conf
Auto-ViT-Acc: An FPGA-Aware Automatic Acceleration Framework for Vision Transformer with Mixed-Scheme Quantization.
FPL
Zhengang Li, Mengshu Sun, Alec Lu, Haoyu Ma, Geng Yuan, Yanyue Xie, Hao Tang, Yanyu Li, Miriam Leeser, Zhangyang Wang, Xue Lin, Zhenman Fang
2022 J jnl
Auto-ViT-Acc: An FPGA-Aware Automatic Acceleration Framework for Vision Transformer with Mixed-Scheme Quantization.
CoRR
Zhengang Li, Mengshu Sun, Alec Lu, Haoyu Ma, Geng Yuan, Yanyue Xie, Hao Tang, Yanyu Li, Miriam Leeser, Zhangyang Wang, Xue Lin, Zhenman Fang
2022 C conf
Blind Data Adversarial Bit-flip Attack against Deep Neural Networks.
DSD
Behnam Ghavami, Mani Sadati, Mohammad Shahidzadeh, Zhenman Fang, Lesley Shannon
2022 J jnl
Demystifying the Soft and Hardened Memory Systems of Modern FPGAs for Software Programmers through Microbenchmarking.
ACM Trans. Reconfigurable Technol. Syst.
Alec Lu, Zhenman Fang, Lesley Shannon
2022 A conf
FILM-QNN: Efficient FPGA Acceleration of Deep Neural Networks with Intra-Layer, Mixed-Precision Quantization.
FPGA
Mengshu Sun, Zhengang Li, Alec Lu, Yanyu Li, Sung-En Chang, Xiaolong Ma, Xue Lin, Zhenman Fang
2022 A* conf
FPGA-aware automatic acceleration framework for vision transformer with mixed-scheme quantization: late breaking results.
DAC
Mengshu Sun, Zhengang Li, Alec Lu, Haoyu Ma, Geng Yuan, Yanyue Xie, Hao Tang, Yanyu Li, Miriam Leeser, Zhangyang Wang, Xue Lin, Zhenman Fang
2022 A conf
FitAct: Error Resilient Deep Neural Networks via Fine-Grained Post-Trainable Activation Functions.
DATE
Behnam Ghavami, Mani Sadati, Zhenman Fang, Lesley Shannon
2022 A* conf
Hardware-efficient stochastic rounding unit design for DNN training: late breaking results.
DAC
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
2022 J jnl
HeatViT: Hardware-Efficient Adaptive Token Pruning for Vision Transformers.
CoRR
Peiyan Dong, Mengshu Sun, Alec Lu, Yanyue Xie, Kenneth Liu, Zhenglun Kong, Xin Meng, Zhengang Li, Xue Lin, Zhenman Fang, Yanzhi Wang
2022 J jnl
Introduction to the Special Section on High-level Synthesis for FPGA: Next-generation Technologies and Applications.
ACM Trans. Design Autom. Electr. Syst.
Christian Pilato, Zhenman Fang, Yuko Hara-Azumi, Jim Hwang
2022 J jnl
Quick-Div: Rethinking Integer Divider Design for FPGA-based Soft-processors.
ACM Trans. Reconfigurable Technol. Syst.
Eric Matthews, Alec Lu, Zhenman Fang, Lesley Shannon
2022 J jnl
SASA: A Scalable and Automatic Stencil Acceleration Framework for Optimized Hybrid Spatial and Temporal Parallelism on HBM-based FPGAs.
CoRR
Xingyu Tian, Zhifan Ye, Alec Lu, Licheng Guo, Yuze Chi, Zhenman Fang
2022 — conf
Stealthy Attack on Algorithmic-Protected DNNs via Smart Bit Flipping.
ISQED
Behnam Ghavami, Seyd Movi, Zhenman Fang, Lesley Shannon
2022 J jnl
SuperYOLO: Super Resolution Assisted Object Detection in Multimodal Remote Sensing Imagery.
CoRR
Jiaqing Zhang, Jie Lei, Weiying Xie, Zhenman Fang, Yunsong Li, Qian Du
2022 J jnl
SyncNN: Evaluating and Accelerating Spiking Neural Networks on FPGAs.
ACM Trans. Reconfigurable Technol. Syst.
Sathish Panchapakesan, Zhenman Fang, Jian Li
2022 J jnl
TAPA: A Scalable Task-Parallel Dataflow Programming Framework for Modern FPGAs with Co-Optimization of HLS and Physical Design.
CoRR
Licheng Guo, Yuze Chi, Jason Lau, Linghao Song, Xingyu Tian, Moazin Khatti, Weikang Qiao, Jie Wang, Ecenur Ustun, Zhenman Fang, Zhiru Zhang, Jason Cong
2022 Misc conf
TopSort: A High-Performance Two-Phase Sorting Accelerator Optimized on HBM-based FPGAs.
FCCM
Weikang Qiao, Licheng Guo, Zhenman Fang, Mau-Chung Frank Chang, Jason Cong
2022 J jnl
TopSort: A High-Performance Two-Phase Sorting Accelerator Optimized on HBM-based FPGAs.
CoRR
Weikang Qiao, Licheng Guo, Zhenman Fang, Mau-Chung Frank Chang, Jason Cong
2022 — conf
You Already Have It: A Generator-Free Low-Precision DNN Training Framework Using Stochastic Rounding.
ECCV (12)
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
2021 J jnl
BDFA: A Blind Data Adversarial Bit-flip Attack on Deep Neural Networks.
CoRR
Behnam Ghavami, Mani Sadati, Mohammad Shahidzadeh, Zhenman Fang, Lesley Shannon
2021 A conf
Demystifying the Memory System of Modern Datacenter FPGAs for Software Programmers through Microbenchmarking.
FPGA
Alec Lu, Zhenman Fang, Weihua Liu, Lesley Shannon
2021 J jnl
FitAct: Error Resilient Deep Neural Networks via Fine-Grained Post-Trainable Activation Functions.
CoRR
Behnam Ghavami, Mani Sadati, Zhenman Fang, Lesley Shannon
2021 A conf
LEAP: A Deep Learning based Aging-Aware Architecture Exploration Framework for FPGAs.
FPGA
Behnam Ghavami, Seyed Milad Ebrahimi, Zhenman Fang, Lesley Shannon
2021 B conf
MAPLE: A Machine Learning based Aging-Aware FPGA Architecture Exploration Framework.
FPL
Behnam Ghavami, Milad Ibrahimipour, Zhenman Fang, Lesley Shannon
2021 J jnl
Programming and Synthesis for Software-defined FPGA Acceleration: Status and Future Prospects.
ACM Trans. Reconfigurable Technol. Syst.
Yi-Hsiang Lai, Ecenur Ustun, Shaojie Xiang, Zhenman Fang, Hongbo Rong, Zhiru Zhang
2021 J jnl
SeaPlace: Process Variation Aware Placement for Reliable Combinational Circuits against SETs and METs.
CoRR
Kiarash Saremi, Hossein Pedram, Behnam Ghavami, Mohsen Raji, Zhenman Fang, Lesley Shannon
2021 J jnl
Stealthy Attack on Algorithmic-Protected DNNs via Smart Bit Flipping.
CoRR
Behnam Ghavami, Seyd Movi, Zhenman Fang, Lesley Shannon
2021 B conf
SyncNN: Evaluating and Accelerating Spiking Neural Networks on FPGAs.
FPL
Sathish Panchapakesan, Zhenman Fang, Jian Li
2020 A conf
Aadam: A Fast, Accurate, and Versatile Aging-Aware Cell Library Delay Model using Feed-Forward Neural Network.
ICCAD
Seyed Milad Ebrahimipour, Behnam Ghavami, Hamid Mousavi, Mohsen Raji, Zhenman Fang, Lesley Shannon
2020 Misc conf
Algorithm-Hardware Co-design for BQSR Acceleration in Genome Analysis ToolKit.
FCCM
Michael Lo, Zhenman Fang, Jie Wang, Peipei Zhou, Mau-Chung Frank Chang, Jason Cong
2020 — conf
CHIP-KNN: A Configurable and High-Performance K-Nearest Neighbors Accelerator on Cloud FPGAs.
FPT
Alec Lu, Zhenman Fang, Nazanin Farahpour, Lesley Shannon
2020 Misc conf
EASpiNN: Effective Automated Spiking Neural Network Evaluation on FPGA.
FCCM
Sathish Panchapakesan, Zhenman Fang, Nitin Chandrachoodan
2020 B conf
FPGA-based Near Data Processing Platform Selection Using Fast Performance Modeling (WiP Paper).
LCTES
Nazanin Farahpour, Zhenman Fang, Glenn Reinman
2020 — conf
Reconfigurable Accelerator Compute Hierarchy: A Case Study using Content-Based Image Retrieval.
IISWC
Nazanin Farahpour, Yuchen Hao, Zhenman Fang, Glenn Reinman
2019 Misc conf
An FPGA-Based BWT Accelerator for Bzip2 Data Compression.
FCCM
Weikang Qiao, Zhenman Fang, Mau-Chung Frank Chang, Jason Cong
2019 J jnl
Caffeine: Toward Uniformed Representation and Acceleration for Deep Convolutional Neural Networks.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Chen Zhang, Guangyu Sun, Zhenman Fang, Peipei Zhou, Peichen Pan, Jason Cong
2019 J jnl
Customizable Computing - From Single Chip to Datacenters.
Proc. IEEE
Jason Cong, Zhenman Fang, Muhuan Huang, Peng Wei, Di Wu, Cody Hao Yu
2019 J jnl
In-Depth Analysis on Microarchitectures of Modern Heterogeneous CPU-FPGA Platforms.
ACM Trans. Reconfigurable Technol. Syst.
Young-kyu Choi, Jason Cong, Zhenman Fang, Yuchen Hao, Glenn Reinman, Peng Wei
2019 Misc conf
Rethinking Integer Divider Design for FPGA-Based Soft-Processors.
FCCM
Eric Matthews, Alec Lu, Zhenman Fang, Lesley Shannon
2019 — conf
Understanding Performance Gains of Accelerator-Rich Architectures.
ASAP
Zhenman Fang, Farnoosh Javadi, Jason Cong, Glenn Reinman
2018 J jnl
Best-Effort FPGA Programming: A Few Steps Can Go a Long Way.
CoRR
Jason Cong, Zhenman Fang, Yuchen Hao, Peng Wei, Cody Hao Yu, Chen Zhang, Peipei Zhou
2018 J jnl
CPU-FPGA Coscheduling for Big Data Applications.
IEEE Des. Test
Jason Cong, Zhenman Fang, Muhuan Huang, Libo Wang, Di Wu
2018 B conf
Doppio: I/O-Aware Performance Analysis, Modeling and Optimization for In-memory Computing Framework.
ISPASS
Peipei Zhou, Zhenyuan Ruan, Zhenman Fang, Megan Shand, David Roazen, Jason Cong
2018 Misc conf
High-Throughput Lossless Compression on Tightly Coupled CPU-FPGA Platforms.
FCCM
Weikang Qiao, Jieqiong Du, Zhenman Fang, Michael Lo, Mau-Chung Frank Chang, Jason Cong
2018 A conf
High-Throughput Lossless Compression on Tightly Coupled CPU-FPGA Platforms: (Abstract Only).
FPGA
Weikang Qiao, Jieqiong Du, Zhenman Fang, Libo Wang, Michael Lo, Mau-Chung Frank Chang, Jason Cong
2018 A conf
K-Flow: A Programming and Scheduling Framework to Optimize Dataflow Execution on CPU-FPGA Platforms: (Abstract Only).
FPGA
Jason Cong, Zhenman Fang, Yao Hu, Di Wu
2018 Misc conf
Understanding Performance Differences of FPGAs and GPUs.
FCCM
Jason Cong, Zhenman Fang, Michael Lo, Hanrui Wang, Jingxian Xu, Shaochong Zhang
2018 A conf
Understanding Performance Differences of FPGAs and GPUs: (Abtract Only).
FPGA
Jason Cong, Zhenman Fang, Michael Lo, Hanrui Wang, Jingxian Xu, Shaochong Zhang
2017 — conf
AIM: accelerating computational genomics through scalable and noninvasive accelerator-interposed memory.
MEMSYS
Jason Cong, Zhenman Fang, Michael Gill, Farnoosh Javadi, Glenn Reinman
2017 A conf
CPU-FPGA Co-Optimization for Big Data Applications: A Case Study of In-Memory Samtool Sorting (Abstract Only).
FPGA
Jason Cong, Zhenman Fang, Muhuan Huang, Libo Wang, Di Wu
2017 A* conf
Supporting Address Translation for Accelerator-Centric Architectures.
HPCA
Yuchen Hao, Zhenman Fang, Glenn Reinman, Jason Cong
2016 A* conf
A quantitative analysis on microarchitectures of modern CPU-FPGA platforms.
DAC
Young-kyu Choi, Jason Cong, Zhenman Fang, Yuchen Hao, Glenn Reinman, Peng Wei
2016 A conf
ARAPrototyper: Enabling Rapid Prototyping and Evaluation for Accelerator-Rich Architecture (Abstact Only).
FPGA
Yu-Ting Chen, Jason Cong, Zhenman Fang, Peipei Zhou
2016 J jnl
ARAPrototyper: Enabling Rapid Prototyping and Evaluation for Accelerator-Rich Architectures.
CoRR
Yu-Ting Chen, Jason Cong, Zhenman Fang, Bingjun Xiao, Peipei Zhou
2016 A conf
Caffeine: towards uniformed representation and acceleration for deep convolutional neural networks.
ICCAD
Chen Zhang, Zhenman Fang, Peipei Zhou, Peichen Pan, Jason Cong
2016 Misc conf
Energy Efficiency of Full Pipelining: A Case Study for Matrix Multiplication.
FCCM
Peipei Zhou, Hyunseok Park, Zhenman Fang, Jason Cong, André DeHon
2016 — conf
Programming and Runtime Support to Blaze FPGA Accelerator Deployment at Datacenter Scale.
SoCC
Muhuan Huang, Di Wu, Cody Hao Yu, Zhenman Fang, Matteo Interlandi, Tyson Condie, Jason Cong
2016 J jnl
Revisiting FPGA Acceleration of Molecular Dynamics Simulation with Dynamic Data Flow Behavior in High-Level Synthesis.
CoRR
Jason Cong, Zhenman Fang, Hassan Kianinejad, Peng Wei
2016 Misc conf
When Spark Meets FPGAs: A Case Study for Next-Generation DNA Sequencing Acceleration.
FCCM
Yu-Ting Chen, Jason Cong, Zhenman Fang, Jie Lei, Peng Wei
2016 — conf
When Spark Meets FPGAs: A Case Study for Next-Generation DNA Sequencing Acceleration.
HotCloud
Yu-Ting Chen, Jason Cong, Zhenman Fang, Jie Lei, Peng Wei
2015 A conf
PARADE: A Cycle-Accurate Full-System Simulation Platform for Accelerator-Rich Architectural Design and Exploration.
ICCAD
Jason Cong, Zhenman Fang, Michael Gill, Glenn Reinman
2014 J jnl
Measuring Microarchitectural Details of Multi- and Many-Core Memory Systems through Microbenchmarking.
ACM Trans. Archit. Code Optim.
Zhenman Fang, Sanyam Mehta, Pen-Chung Yew, Antonia Zhai, James B. S. G. Greensky, Gautham Beeraka, Binyu Zang
2014 A conf
Multi-stage coordinated prefetching for present-day processors.
ICS
Sanyam Mehta, Zhenman Fang, Antonia Zhai, Pen-Chung Yew
2012 B conf
Improving dynamic prediction accuracy through multi-level phase analysis.
LCTES
Zhenman Fang, Jiaxin Li, Weihua Zhang, Yi Li, Haibo Chen, Binyu Zang
2012 A* conf
Transformer: a functional-driven cycle-accurate multicore simulator.
DAC
Zhenman Fang, Qinghao Min, Keyong Zhou, Yi Lu, Yibin Hu, Weihua Zhang, Haibo Chen, Jian Li, Binyu Zang
2011 B conf
A comprehensive analysis and parallelization of an image retrieval algorithm.
ISPASS
Zhenman Fang, Donglei Yang, Weihua Zhang, Haibo Chen, Binyu Zang