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2020 – today
- 2024
[j21]Yang Xiao, Zeke Wang
:
AIbench: a tool for benchmarking Huawei ascend AI processors. CCF Trans. High Perform. Comput. 6(2): 115-129 (2024)- [j20]Jie Zhang, Hongjing Huang, Jie Sun, Juan Gómez-Luna, Onur Mutlu, Zeke Wang:
SparseACC: A Generalized Linear Model Accelerator for Sparse Datasets. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 43(3): 840-853 (2024) - [j19]Xueying Zhu, Jie Sun, Zhenhao He, Jiantong Jiang, Zeke Wang:
Staleness-Reduction Mini-Batch K-Means. IEEE Trans. Neural Networks Learn. Syst. 35(10): 14424-14436 (2024) - [c26]Jie Zhang, Xuzheng Chen, Yin Zhang, Zeke Wang:
DmRPC: Disaggregated Memory-aware Datacenter RPC for Data-intensive Applications. ICDE 2024: 3796-3809 - [c25]Wentao Hou, Jie Zhang, Zeke Wang, Ming Liu:
Understanding Routable PCIe Performance for Composable Infrastructures. NSDI 2024: 297-312 - [i15]Xuzheng Chen, Jie Zhang, Ting Fu, Yifan Shen, Shu Ma, Kun Qian, Lingjun Zhu, Chao Shi, Yin Zhang, Ming Liu, Zeke Wang:
Demystifying Datapath Accelerator Enhanced Off-path SmartNIC. CoRR abs/2402.03041 (2024) - [i14]Changyue Liao, Mo Sun, Zihan Yang, Kaiqi Chen, Binhang Yuan, Fei Wu, Zeke Wang:
Adding NVMe SSDs to Enable and Accelerate 100B Model Fine-tuning on a Single GPU. CoRR abs/2403.06504 (2024) - [i13]Jinwei Yao, Kaiqi Chen, Kexun Zhang, Jiaxuan You, Binhang Yuan, Zeke Wang, Tao Lin:
DeFT: Flash Tree-attention with IO-Awareness for Efficient Tree-search-based LLM Inference. CoRR abs/2404.00242 (2024) - [i12]Meng Zhang, Jie Sun, Qinghao Hu, Peng Sun, Zeke Wang, Yonggang Wen, Tianwei Zhang:
TorchGT: A Holistic System for Large-scale Graph Transformer Training. CoRR abs/2407.14106 (2024) - [i11]Mo Sun, Zihan Yang, Changyue Liao, Yingtao Li, Fei Wu, Zeke Wang:
LuWu: An End-to-End In-Network Out-of-Core Optimizer for 100B-Scale Model-in-Network Data-Parallel Training on Distributed GPUs. CoRR abs/2409.00918 (2024) - 2023
- [j18]Tao Lu, Chengkun Wei, Ruijing Yu, Chaochao Chen, Wenjing Fang, Lei Wang, Zeke Wang, Wenzhi Chen:
cuZK: Accelerating Zero-Knowledge Proof with A Faster Parallel Multi-Scalar Multiplication Algorithm on GPUs. IACR Trans. Cryptogr. Hardw. Embed. Syst. 2023(3): 194-220 (2023) - [j17]Hongjing Huang, Yingtao Li, Jie Sun, Xueying Zhu, Jie Zhang, Liang Luo, Jialin Li, Zeke Wang:
P4SGD: Programmable Switch Enhanced Model-Parallel Training on Generalized Linear Models on Distributed FPGAs. IEEE Trans. Parallel Distributed Syst. 34(8): 2311-2324 (2023) - [c24]Guan Shen, Jieru Zhao, Zeke Wang, Zhe Lin, Wenchao Ding, Chentao Wu, Quan Chen, Minyi Guo:
MARS: Exploiting Multi-Level Parallelism for DNN Workloads on Adaptive Multi-Accelerator Systems. DAC 2023: 1-6 - [c23]Qi Liu, Mo Sun, Jie Sun, Liqiang Lu, Jieru Zhao, Zeke Wang:
SSiMD: Supporting Six Signed Multiplications in a DSP Block for Low-Precision CNN on FPGAs. ICFPT 2023: 161-169 - [c22]Yiquan Chen, Jiexiong Xu, Chengkun Wei, Yijing Wang, Xin Yuan, Yangming Zhang, Xulin Yu, Yi Chen, Zeke Wang, Shuibing He, Wenzhi Chen:
BM-Store: A Transparent and High-performance Local Storage Architecture for Bare-metal Clouds Enabling Large-scale Deployment. HPCA 2023: 1031-1044 - [c21]Jie Zhang, Hongjing Huang, Lingjun Zhu, Shu Ma, Dazhong Rong, Yijun Hou, Mo Sun, Chaojie Gu, Peng Cheng, Chao Shi, Zeke Wang:
SmartDS: Middle-Tier-centric SmartNIC Enabling Application-aware Message Split for Disaggregated Block Storage. ISCA 2023: 42:1-42:13 - [c20]Chengkun Wei, Xing Li, Ye Yang, Xiaochong Jiang, Tianyu Xu, Bowen Yang, Taotao Wu, Chao Xu, Yilong Lv, Haifeng Gao, Zhentao Zhang, Zikang Chen, Zeke Wang, Zihui Zhang, Shunmin Zhu, Wenzhi Chen:
Achelous: Enabling Programmability, Elasticity, and Reliability in Hyperscale Cloud Networks. SIGCOMM 2023: 769-782 - [c19]Jie Sun, Li Su, Zuocheng Shi, Wenting Shen, Zeke Wang, Lei Wang, Jie Zhang, Yong Li, Wenyuan Yu, Jingren Zhou, Fei Wu:
Legion: Automatically Pushing the Envelope of Multi-GPU System for Billion-Scale GNN Training. USENIX ATC 2023: 165-179 - [i10]Hongjing Huang, Yingtao Li, Jie Sun, Xueying Zhu, Jie Zhang, Liang Luo, Jialin Li, Zeke Wang:
P4SGD: Programmable Switch Enhanced Model-Parallel Training on Generalized Linear Models on Distributed FPGAs. CoRR abs/2305.05885 (2023) - [i9]Jie Sun, Li Su, Zuocheng Shi, Wenting Shen, Zeke Wang, Lei Wang, Jie Zhang, Yong Li, Wenyuan Yu, Jingren Zhou, Fei Wu:
Legion: Automatically Pushing the Envelope of Multi-GPU System for Billion-Scale GNN Training. CoRR abs/2305.16588 (2023) - [i8]Guan Shen, Jieru Zhao, Zeke Wang, Zhe Lin, Wenchao Ding, Chentao Wu, Quan Chen, Minyi Guo:
MARS: Exploiting Multi-Level Parallelism for DNN Workloads on Adaptive Multi-Accelerator Systems. CoRR abs/2307.12234 (2023) - [i7]Jintao Sun, Zeke Wang, Tao Lu, Wenzhi Chen:
PyHGL: A Python-based Hardware Generation Language Framework. CoRR abs/2309.04859 (2023) - [i6]Jie Sun, Mo Sun, Zheng Zhang, Jun Xie, Zuocheng Shi, Zihan Yang, Jie Zhang, Fei Wu, Zeke Wang:
Helios: An Efficient Out-of-core GNN Training System on Terabyte-scale Graphs with In-memory Performance. CoRR abs/2310.00837 (2023) - 2022
- [j16]Hongjing Huang, Zeke Wang, Jie Zhang, Zhenhao He, Chao Wu, Jun Xiao, Gustavo Alonso:
Shuhai: A Tool for Benchmarking High Bandwidth Memory on FPGAs. IEEE Trans. Computers 71(5): 1133-1144 (2022) - [j15]Jiantong Jiang, Zeyi Wen, Ze-ke Wang, Bingsheng He, Jian Chen:
Parallel and Distributed Structured SVM Training. IEEE Trans. Parallel Distributed Syst. 33(5): 1084-1096 (2022) - [c18]Yemin Yu, Kun Kuang, Jiangchao Yang, Zeke Wang, Kunyang Jia, Weiming Lu, Hongxia Yang, Fei Wu:
Multi-objective Meta-return Reinforcement Learning for Sequential Recommendation. CICAI (2) 2022: 95-111 - [c17]Junge Xu, Bohan Xuan, Anlin Liu, Mo Sun, Fan Zhang, Zeke Wang, Kui Ren:
Terminator on SkyNet: a practical DVFS attack on DNN hardware IP for UAV object detection. DAC 2022: 685-690 - [c16]Zeke Wang, Hongjing Huang, Jie Zhang, Fei Wu, Gustavo Alonso:
FpgaNIC: An FPGA-based Versatile 100Gb SmartNIC for GPUs. USENIX ATC 2022: 967-986 - [i5]Tao Lu, Chengkun Wei, Ruijing Yu, Yi Chen, Li Wang, Chaochao Chen, Zeke Wang, Wenzhi Chen:
cuZK: Accelerating Zero-Knowledge Proof with A Faster Parallel Multi-Scalar Multiplication Algorithm on GPUs. IACR Cryptol. ePrint Arch. 2022: 1321 (2022) - 2021
- [j14]Ze-ke Wang, Xue Liu, Kai Zhang, Haihang Zhou, Bingsheng He:
Understanding and Optimizing Conjunctive Predicates Under Memory-Efficient Storage Layouts. IEEE Trans. Knowl. Data Eng. 33(6): 2803-2817 (2021) - [c15]Chunyou Su, Hao Liang, Wei Zhang, Kun Zhao, Baole Ai, Wenting Shen, Zeke Wang:
Graph Sampling with Fast Random Walker on HBM-enabled FPGA Accelerators. FPL 2021: 211-218 - [i4]Chenhao Liu, Zhiyuan Shao, Zeke Wang, Kexin Li, Minkang Wu, Jiajie Chen, Xiaofei Liao, Hai Jin:
ScalaBFS: A Scalable BFS Accelerator on HBM-Enhanced FPGAs. CoRR abs/2105.11754 (2021) - 2020
- [c14]Gustavo Alonso, Timothy Roscoe, David A. Cock, Mohsen Ewaida, Kaan Kara, Dario Korolija, David Sidler, Zeke Wang:
Tackling Hardware/Software co-design from a database perspective. CIDR 2020 - [c13]David Sidler, Zeke Wang, Monica Chiosa, Amit Kulkarni, Gustavo Alonso:
StRoM: smart remote memory. EuroSys 2020: 29:1-29:16 - [c12]Zeke Wang, Hongjing Huang, Jie Zhang, Gustavo Alonso:
Shuhai: Benchmarking High Bandwidth Memory On FPGAS. FCCM 2020: 111-119 - [c11]Zhenhao He, Zeke Wang, Gustavo Alonso:
BiS-KM: Enabling Any-Precision K-Means on FPGAs. FPGA 2020: 233-243 - [c10]Jiantong Jiang, Zeke Wang, Xue Liu, Juan Gómez-Luna, Nan Guan, Qingxu Deng, Wei Zhang, Onur Mutlu:
Boyi: A Systematic Framework for Automatically Deciding the Right Execution Model of OpenCL Applications on FPGAs. FPGA 2020: 299-309 - [i3]Zeke Wang, Hongjing Huang, Jie Zhang, Gustavo Alonso:
Benchmarking High Bandwidth Memory on FPGAs. CoRR abs/2005.04324 (2020) - [i2]Ruoshi Li, Hongjing Huang, Zeke Wang, Zhiyuan Shao, Xiaofei Liao, Hai Jin:
Optimizing Memory Performance of Xilinx FPGAs under Vitis. CoRR abs/2010.08916 (2020)
2010 – 2019
- 2019
- [j13]Zeke Wang, Kaan Kara, Hantian Zhang, Gustavo Alonso, Ce Zhang, Onur Mutlu:
Accelerating Generalized Linear Models with MLWeaving: A One-Size-Fits-All System for Any-precision Learning. Proc. VLDB Endow. 12(7): 807-821 (2019) - [j12]Kaan Kara, Zeke Wang, Ce Zhang, Gustavo Alonso:
doppioDB 2.0: Hardware Techniques for Improved Integration of Machine Learning into Databases. Proc. VLDB Endow. 12(12): 1818-1821 (2019) - [c9]Gustavo Alonso, Carsten Binnig, Ippokratis Pandis, Kenneth Salem, Jan Skrzypczak, Ryan Stutsman, Lasse Thostrup, Tianzheng Wang, Zeke Wang, Tobias Ziegler:
DPI: The Data Processing Interface for Modern Networks. CIDR 2019 - [i1]Zeke Wang, Kaan Kara, Hantian Zhang, Gustavo Alonso, Onur Mutlu, Ce Zhang:
Accelerating Generalized Linear Models with MLWeaving: A One-Size-Fits-All System for Any-precision Learning (Technical Report). CoRR abs/1903.03404 (2019) - 2018
- [c8]Ze-ke Wang, Kai Zhang, Haihang Zhou, Xue Liu, Bingsheng He:
Hebe: An Order-Oblivious and High-Performance Execution Scheme for Conjunctive Predicates. ICDE 2018: 1260-1263 - [c7]Kai Zhang, Bingsheng He, Jiayu Hu, Ze-ke Wang, Bei Hua, Jiayi Meng, Lishan Yang:
G-NET: Effective GPU Sharing in NFV Systems. NSDI 2018: 187-200 - 2017
- [j11]Xue Liu, Ze-ke Wang, Qingxu Deng:
FPGA implementation of a reconfigurable channelization for simultaneous multichannel DRM30/FM receiver. IEEE Trans. Consumer Electron. 63(1): 1-9 (2017) - [j10]Ze-ke Wang, Johns Paul, Bingsheng He, Wei Zhang:
Multikernel Data Partitioning With Channel on OpenCL-Based FPGAs. IEEE Trans. Very Large Scale Integr. Syst. 25(6): 1906-1918 (2017) - [j9]Xue Liu, Xin-Xin Yan, Ze-ke Wang, Qingxu Deng:
Design and FPGA Implementation of a Reconfigurable Digital Down Converter for Wideband Applications. IEEE Trans. Very Large Scale Integr. Syst. 25(12): 3548-3552 (2017) - 2016
- [j8]Ze-ke Wang, Shuhao Zhang, Bingsheng He, Wei Zhang:
Melia: A MapReduce Framework on OpenCL-Based FPGAs. IEEE Trans. Parallel Distributed Syst. 27(12): 3547-3560 (2016) - [j7]Xue Liu, Ze-ke Wang, Qing-xu Deng:
Design and FPGA Implementation of a Reconfigurable 1024-Channel Channelization Architecture for SDR Application. IEEE Trans. Very Large Scale Integr. Syst. 24(7): 2449-2461 (2016) - [c6]Ze-ke Wang, Hui Yan Cheah, Johns Paul, Bingsheng He, Wei Zhang:
Accelerating Database Query Processing on OpenCL-based FPGAs (Abstract Only). FPGA 2016: 274 - [c5]Ze-ke Wang, Johns Paul, Hui Yan Cheah, Bingsheng He, Wei Zhang:
Relational query processing on OpenCL-based FPGAs. FPL 2016: 1-10 - [c4]Ze-ke Wang, Bingsheng He, Wei Zhang, Shunning Jiang:
A performance analysis framework for optimizing OpenCL applications on FPGAs. HPCA 2016: 114-125 - 2015
- [j6]Ze-ke Wang, Xue Liu, Bingsheng He, Feng Yu:
A Combined SDC-SDF Architecture for Normal I/O Pipelined Radix-2 FFT. IEEE Trans. Very Large Scale Integr. Syst. 23(5): 973-977 (2015) - [c3]Ze-ke Wang, Bingsheng He, Wei Zhang:
Improving Data Partitioning Performance on OpenCL-Based FPGAs. FCCM 2015: 34 - [c2]Ze-ke Wang, Bingsheng He, Wei Zhang:
A study of data partitioning on OpenCL-based FPGAs. FPL 2015: 1-8 - 2014
- [j5]Xue Liu, Qing-xu Deng, Bo-ning Hou, Ze-ke Wang:
High-speed, fixed-latency serial links with Xilinx FPGAs. J. Zhejiang Univ. Sci. C 15(2): 153-160 (2014) - 2013
- [j4]Feng Yu, Rui-feng Ge, Ze-ke Wang:
Efficient Utilization of Vector Registers to Improve FFT Performance on SIMD Microprocessors. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 96-A(7): 1637-1641 (2013) - [c1]Ze-ke Wang, Feng Yu, Xue Liu:
Block Processor: A resource-distributed architecture. HPEC 2013: 1-6 - 2011
- [j3]Xue Liu, Feng Yu, Ze-ke Wang:
A pipelined architecture for normal I/O order FFT. J. Zhejiang Univ. Sci. C 12(1): 76-82 (2011) - [j2]Zhen-guo Ma, Feng Yu, Rui-feng Ge, Ze-ke Wang:
An efficient radix-2 fast Fourier transform processor with ganged butterfly engines on field programmable gate arrays. J. Zhejiang Univ. Sci. C 12(4): 323-329 (2011)
1980 – 1989
- 1984
- [j1]Harold W. Kuhn, Ze-ke Wang, Senlin Xu:
On the cost of computing roots of polynomials. Math. Program. 28(2): 156-163 (1984)
Coauthor Index
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