Zeke Wang

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 39

Top Topics

Object Detection

Top Venues

Proc. VLDB Endow.

Publications

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 (2024)
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) (2024)
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 (2024)
Jie Zhang, Xuzheng Chen, Yin Zhang, Zeke Wang
DmRPC: Disaggregated Memory-aware Datacenter RPC for Data-intensive Applications. ICDE (2024)
Wentao Hou, Jie Zhang, Zeke Wang, Ming Liu
Understanding Routable PCIe Performance for Composable Infrastructures. NSDI (2024)
Xuzheng Chen, Jie Zhang, Ting Fu, Yifan Shen, Shu Ma, Kun Qian, Lingjun Zhu, Chao Shi, Ming Liu, Zeke Wang
Demystifying Datapath Accelerator Enhanced Off-path SmartNIC. CoRR (2024)
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 (2024)
Yang Xiao, Zeke Wang
AIbench: a tool for benchmarking Huawei ascend AI processors. CCF Trans. High Perform. Comput. 6 (2) (2024)
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 Annual Technical Conference (2023)
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 (2023)
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 (2023)
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)
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 (2023)
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)
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)
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 (2023)
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) (2023)
Jintao Sun, Zeke Wang, Tao Lu, Wenzhi Chen
PyHGL: A Python-based Hardware Generation Language Framework. CoRR (2023)
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)
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) (2023)
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)
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)
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)
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) (2022)
Zeke Wang, Hongjing Huang, Jie Zhang, Fei Wu, Gustavo Alonso
FpgaNIC: An FPGA-based Versatile 100Gb SmartNIC for GPUs. USENIX Annual Technical Conference (2022)
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 (2022)
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)
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 (2021)
Gustavo Alonso, Timothy Roscoe, David Cock, Mohsen Ewaida, Kaan Kara, Dario Korolija, David Sidler, Zeke Wang
Tackling Hardware/Software co-design from a database perspective. CIDR (2020)
Ruoshi Li, Hongjing Huang, Zeke Wang, Zhiyuan Shao, Xiaofei Liao, Hai Jin
Optimizing Memory Performance of Xilinx FPGAs under Vitis. CoRR (2020)
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)
Zeke Wang, Hongjing Huang, Jie Zhang, Gustavo Alonso
Shuhai: Benchmarking High Bandwidth Memory On FPGAS. FCCM (2020)
Zhenhao He, Zeke Wang, Gustavo Alonso
BiS-KM: Enabling Any-Precision K-Means on FPGAs. FPGA (2020)
David Sidler, Zeke Wang, Monica Chiosa, Amit Kulkarni, Gustavo Alonso
StRoM: smart remote memory. EuroSys (2020)
Zeke Wang, Hongjing Huang, Jie Zhang, Gustavo Alonso
Benchmarking High Bandwidth Memory on FPGAs. CoRR (2020)
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) (2019)
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) (2019)
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)
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 (2019)