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Biwei Xie
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Conference and Workshop Papers
- 2024
- [c16]Xingquan Li, Zengrong Huang, Simin Tao, Zhipeng Huang, Chunan Zhuang, Hao Wang, Yifan Li, Yihang Qiu, Guojie Luo, Huawei Li, Haihua Shen, Mingyu Chen, Dongbo Bu, Wenxing Zhu, Ye Cai, Xiaoming Xiong, Ying Jiang, Yi Heng, Peng Zhang, Bei Yu, Biwei Xie, Yungang Bao:
iEDA: An Open-source infrastructure of EDA. ASPDAC 2024: 77-82 - [c15]Xingquan Li, Simin Tao, Shijian Chen, Zhisheng Zeng, Zhipeng Huang, Hongxi Wu, Weiguo Li, Zengrong Huang, Liwei Ni, Xueyan Zhao, He Liu, Shuaiying Long, Ruizhi Liu, Xiaoze Lin, Bo Yang, Fuxing Huang, Zonglin Yang, Yihang Qiu, Zheqing Shao, Jikang Liu, Yuyao Liang, Biwei Xie, Yungang Bao, Bei Yu:
iPD: An Open-source intelligent Physical Design Toolchain. ASPDAC 2024: 83-88 - [c14]Ye Cai, Zonglin Yang, Liwei Ni, Junfeng Liu, Biwei Xie, Xingquan Li:
Parallel AIG Refactoring via Conflict Breaking. ISCAS 2024: 1-5 - [c13]He Liu, Simin Tao, Zhipeng Huang, Biwei Xie, Xingquan Li, Ge Li:
Instance-level Timing Learning and Prediction at Placement using Res-UNet Network. ISCAS 2024: 1-5 - 2023
- [c12]Shengkun Wu, Biwei Xie, Xingquan Li
:
An Adaptive Partition Strategy of Galerkin Boundary Element Method for Capacitance Extraction. ASP-DAC 2023: 541-546 - [c11]Xueyan Zhao, Shijian Chen, Yihang Qiu, Jiangkao Li, Zhipeng Huang, Biwei Xie, Xingquan Li
, Yungang Bao:
iPL-3D: A Novel Bilevel Programming Model for Die-to-Die Placement. ICCAD 2023: 1-9 - [c10]Liwei Ni, Zonglin Yang, Jiaxi Zhang, Junfeng Liu, Huawei Li, Biwei Xie, Xinquan Li
:
Adaptive Reconvergence-driven AIG Rewriting via Strategy Learning. ICCD 2023: 336-343 - 2022
- [c9]Zhiyuan Yan, Biwei Xie, Xingquan Li
, Yungang Bao:
Exploiting Architecture Advances for Sparse Solvers in Circuit Simulation. DATE 2022: 837-842 - 2018
- [c8]Wanling Gao, Jianfeng Zhan, Lei Wang, Chunjie Luo, Daoyi Zheng, Fei Tang, Biwei Xie, Chen Zheng, Xu Wen, Xiwen He, Hainan Ye, Rui Ren:
Data motifs: a lens towards fully understanding big data and AI workloads. PACT 2018: 2:1-2:14 - [c7]Wanling Gao, Chunjie Luo, Lei Wang, Xingwang Xiong, Jianan Chen, Tianshu Hao, Zihan Jiang, Fanda Fan, Mengjia Du, Yunyou Huang, Fan Zhang, Xu Wen, Chen Zheng, Xiwen He, Jiahui Dai, Hainan Ye, Zheng Cao, Zhen Jia, Kent Zhan, Haoning Tang, Daoyi Zheng, Biwei Xie, Wei Li, Xiaoyu Wang
, Jianfeng Zhan:
AIBench: Towards Scalable and Comprehensive Datacenter AI Benchmarking. Bench 2018: 3-9 - [c6]Biwei Xie, Zhen Jia, Yungang Bao:
Benchmarking SpMV Methods on Many-Core Platforms. Bench 2018: 233-247 - [c5]Biwei Xie, Jianfeng Zhan, Xu Liu, Wanling Gao, Zhen Jia, Xiwen He, Lixin Zhang:
CVR: efficient vectorization of SpMV on x86 processors. CGO 2018: 149-162 - [c4]Changxi Liu
, Biwei Xie, Xin Liu, Wei Xue, Hailong Yang, Xu Liu:
Towards Efficient SpMV on Sunway Manycore Architectures. ICS 2018: 363-373 - [c3]Xinhui Tian, Biwei Xie, Jianfeng Zhan:
Cymbalo: An Efficient Graph Processing Framework for Machine Learning. ISPA/IUCC/BDCloud/SocialCom/SustainCom 2018: 572-579 - 2016
- [c2]Biwei Xie, Xu Liu, Sally A. McKee, Jianfeng Zhan, Zhen Jia, Lei Wang, Lixin Zhang:
Understanding Data Analytics Workloads on Intel(R) Xeon Phi(R). HPCC/SmartCity/DSS 2016: 206-215 - 2015
- [c1]Biwei Xie, Xu Liu, Jianfeng Zhan, Zhen Jia, Yuqing Zhu
, Lei Wang, Lixin Zhang:
Characterizing Data Analytics Workloads on Intel Xeon Phi. IISWC 2015: 114-115
Editorship
- 2024
- [e1]Sascha Hunold
, Biwei Xie
, Kai Shu
:
Benchmarking, Measuring, and Optimizing - 15th BenchCouncil International Symposium, Bench 2023, Sanya, China, December 3-5, 2023, Revised Selected Papers. Lecture Notes in Computer Science 14521, Springer 2024, ISBN 978-981-97-0315-9 [contents]
Informal and Other Publications
- 2024
- [i9]Ye Cai, Zonglin Yang, Liwei Ni, Biwei Xie, Xingquan Li:
Enhancing ASIC Technology Mapping via Parallel Supergate Computing. CoRR abs/2404.13614 (2024) - [i8]Ye Cai, Zonglin Yang, Liwei Ni, Junfeng Liu, Biwei Xie, Xingquan Li:
Parallel AIG Refactoring via Conflict Breaking. CoRR abs/2404.13617 (2024) - 2023
- [i7]Xingquan Li
, Simin Tao, Zengrong Huang, Shijian Chen, Zhisheng Zeng, Liwei Ni, Zhipeng Huang, Chunan Zhuang, Hongxi Wu, Weiguo Li, Xueyan Zhao, He Liu, Shuaiying Long, Wei He, Bojun Liu, Sifeng Gan, Zihao Yu, Tong Liu, Yuchi Miao, Zhiyuan Yan, Hao Wang, Jie Zhao, Yifan Li, Ruizhi Liu, Xiaoze Lin, Bo Yang, Zhen Xue, Fuxing Huang, Zonglin Yang, Zhenggang Wu, Jiangkao Li, Yuezuo Liu, Ming Peng, Yihang Qiu, Wenrui Wu, Zheqing Shao, Kai Mo, Jikang Liu, Yuyao Liang, Mingzhe Zhang, Zhuang Ma, Xiang Cong, Daxiang Huang, Guojie Luo, Huawei Li, Haihua Shen, Mingyu Chen, Dongbo Bu, Wenxing Zhu, Ye Cai, Xiaoming Xiong, Ying Jiang, Yi Heng, Peng Zhang, Biwei Xie, Yungang Bao:
iEDA: An Open-Source Intelligent Physical Implementation Toolkit and Library. CoRR abs/2308.01857 (2023) - [i6]Liwei Ni, Zonglin Yang, Jiaxi Zhang, Junfeng Liu, Huawei Li, Biwei Xie, Xinquan Li:
Adaptive Reconvergence-driven AIG Rewriting via Strategy Learning. CoRR abs/2312.14536 (2023) - [i5]Liwei Ni, Zonglin Yang, Jiaxi Zhang, Changhong Feng, Jianhua Liu, Guojie Luo, Huawei Li, Biwei Xie, Xingquan Li:
MEC: An Open-source Fine-grained Mapping Equivalence Checking Tool for FPGA. CoRR abs/2312.14541 (2023) - 2022
- [i4]Wanling Gao, Lei Wang, Mingyu Chen, Jin Xiong, Chunjie Luo, Wenli Zhang, Yunyou Huang, Weiping Li, Guoxin Kang, Chen Zheng, Biwei Xie, Shaopeng Dai, Qian He, Hainan Ye, Yungang Bao, Jianfeng Zhan:
High fusion computers: The IoTs, edges, data centers, and humans-in-the-loop as a computer. CoRR abs/2212.00721 (2022) - 2018
- [i3]Wanling Gao, Lei Wang, Jianfeng Zhan, Chunjie Luo, Daoyi Zheng, Zhen Jia, Biwei Xie, Chen Zheng, Qiang Yang, Haibin Wang:
Big Data Dwarfs: Towards Fully Understanding Big Data Analytics Workloads. CoRR abs/1802.00699 (2018) - [i2]Wanling Gao, Jianfeng Zhan, Lei Wang, Chunjie Luo, Daoyi Zheng, Fei Tang, Biwei Xie, Chen Zheng, Xu Wen, Xiwen He, Hainan Ye, Rui Ren:
Data Motifs: A Lens Towards Fully Understanding Big Data and AI Workloads. CoRR abs/1808.08512 (2018) - 2017
- [i1]Wanling Gao, Lei Wang, Jianfeng Zhan, Chunjie Luo, Daoyi Zheng, Zhen Jia, Biwei Xie, Chen Zheng, Qiang Yang, Haibin Wang:
A Dwarf-based Scalable Big Data Benchmarking Methodology. CoRR abs/1711.03229 (2017)
Coauthor Index
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