Zhenman Fang
Cited by
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Caffeine: Towards uniformed representation and acceleration for deep convolutional neural networks
C Zhang, G Sun, Z Fang, P Zhou, P Pan, J Cong
IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2019
A quantitative analysis on microarchitectures of modern CPU-FPGA platforms
Y Choi, J Cong, Z Fang, Y Hao, G Reinman, P Wei
Proceedings of the 53rd Annual Design Automation Conference, 109, 2016
Understanding Performance Differences of FPGAs and GPUs
J Cong, Z Fang, M Lo, H Wang, J Xu, S Zhang
2018 IEEE 26th Annual International Symposium on Field-Programmable Custom …, 2018
Supporting address translation for accelerator-centric architectures
Y Hao, Z Fang, G Reinman, J Cong
2017 IEEE International Symposium on High Performance Computer Architecture …, 2017
Programming and Runtime Support to Blaze FPGA Accelerator Deployment at Datacenter Scale
M Huang, D Wu, CH Yu, Z Fang, M Interlandi, T Condie, J Cong
Proceedings of the Seventh ACM Symposium on Cloud Computing, 456-469, 2016
When Apache Spark Meets FPGAs: A Case Study for Next-Generation DNA Sequencing Acceleration
YT Chen, J Cong, Z Fang, J Lei, P Wei
8th USENIX Workshop on Hot Topics in Cloud Computing (HotCloud 16), 2016
SuperYOLO: Super resolution assisted object detection in multimodal remote sensing imagery
J Zhang, J Lei, W Xie, Z Fang, Y Li, Q Du
IEEE Transactions on Geoscience and Remote Sensing 61, 1-15, 2023
High-Throughput Lossless Compression on Tightly Coupled CPU-FPGA Platforms
W Qiao, J Du, Z Fang, M Lo, MCF Chang, J Cong
2018 IEEE 26th Annual International Symposium on Field-Programmable Custom …, 2018
PARADE: A Cycle-Accurate Full-System Simulation Platform for Accelerator-Rich Architectural Design and Exploration
J Cong, Z Fang, M Gill, G Reinman
Proceedings of the IEEE/ACM International Conference on Computer-Aided …, 2015
In-Depth Analysis on Microarchitectures of Modern Heterogeneous CPU-FPGA Platforms
YK Choi, J Cong, Z Fang, Y Hao, G Reinman, P Wei
ACM Transactions on Reconfigurable Technology and Systems (TRETS) 12 (1), 4, 2019
FILM-QNN: Efficient FPGA Acceleration of Deep Neural Networks with Intra-Layer, Mixed-Precision Quantization
M Sun, Z Li, A Lu, Y Li, SE Chang, X Ma, X Lin, Z Fang
Proceedings of the 2022 ACM/SIGDA International Symposium on Field …, 2022
Auto-ViT-Acc: An FPGA-aware automatic acceleration framework for vision transformer with mixed-scheme quantization
Z Li, M Sun, A Lu, H Ma, G Yuan, Y Xie, H Tang, Y Li, M Leeser, Z Wang, ...
2022 32nd International Conference on Field-Programmable Logic and …, 2022
Programming and Synthesis for Software-defined FPGA Acceleration: Status and Future Prospects
YH Lai, E Ustun, S Xiang, Z Fang, H Rong, Z Zhang
ACM Transactions on Reconfigurable Technology and Systems (TRETS) 14 (4), 1-39, 2021
Best-Effort FPGA Programming: A Few Steps Can Go a Long Way
J Cong, Z Fang, Y Hao, P Wei, CH Yu, C Zhang, P Zhou
arXiv preprint arXiv:1807.01340, 2018
Multi-stage coordinated prefetching for present-day processors
S Mehta, Z Fang, A Zhai, PC Yew
Proceedings of the 28th ACM international conference on Supercomputing, 73-82, 2014
SyncNN: Evaluating and accelerating spiking neural networks on FPGAs
S Panchapakesan, Z Fang, J Li
ACM Transactions on Reconfigurable Technology and Systems 15 (4), 1-27, 2022
CPU-FPGA Coscheduling for Big Data Applications
J Cong, Z Fang, M Huang, L Wang, D Wu
IEEE Design & Test 35 (1), 16-22, 2018
Measuring microarchitectural details of multi-and many-core memory systems through microbenchmarking
Z Fang, S Mehta, PC Yew, A Zhai, J Greensky, G Beeraka, B Zang
ACM Transactions on Architecture and Code Optimization (TACO) 11 (4), 1-26, 2015
Doppio: I/O-aware performance analysis, modeling and optimization for in-memory computing framework
P Zhou, Z Ruan, Z Fang, M Shand, D Roazen, J Cong
2018 IEEE International Symposium on Performance Analysis of Systems and …, 2018
Demystifying the Memory System of Modern Datacenter FPGAs for Software Programmers through Microbenchmarking
A Lu, Z Fang, W Liu, L Shannon
To appear in The 29th ACM/SIGDA International Symposium on Field …, 2021
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