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ORCIDWeifeng Liu 0002
Person information
- affiliation: China University of Petroleum, Beijing, China
- affiliation (former): Norwegian University of Science and Technology
- affiliation (former): University of Copenhagen, Niels Bohr Institute (NBI)
- affiliation (former): STFC Rutherford Appleton Laboratory, Didcot, UK
- 刘伟峰
Other persons with the same name
- Weifeng Liu — disambiguation page
- Weifeng Liu 0001
![[0000-0002-5388-9080]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-5388-9080")
— China University of Petroleum, Qingdao, College of Information and Control Engineering - Weifeng Liu 0003 — Xidian University, Institute of Microelectronics, Xi'an, China
- Weifeng Liu 0004 — Shaanxi University of Science and Technology, China (and 2 more)
- Weifeng Liu 0005 — Institute of Applied Physics and Computational Mathematics, Beijing, China
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2020 – today
- 2024
[c32]Yinuo Bai, Xiaoyu Yang, Yicheng Lu, Dan Niu, Cheng Zhuo, Zhou Jin, Weifeng Liu:
Efficient Spectral-Aware Power Supply Noise Analysis for Low-Power Design Verification. DATE 2024: 1-6- [c31]Enxin Yi, Yiru Duan, Yinuo Bai, Kang Zhao, Zhou Jin, Weifeng Liu:
Cuper: Customized Dataflow and Perceptual Decoding for Sparse Matrix-Vector Multiplication on HBM-Equipped FPGAs. DATE 2024: 1-6 - 2023
- [j14]Weifeng Liu, Guangming Tan, Xiaowen Xu:
Editorial for the special issue on architecture, algorithms and applications of high performance sparse matrix computations. CCF Trans. High Perform. Comput. 5(2): 99-101 (2023) - [j13]Zhengyang Lu, Weifeng Liu:
TileSpTRSV: a tiled algorithm for parallel sparse triangular solve on GPUs. CCF Trans. High Perform. Comput. 5(2): 129-143 (2023) - [c30]Hongli Mi, Xiangrui Yu, Xiaosong Yu, Shuangyuan Wu, Weifeng Liu:
Balancing Computation and Communication in Distributed Sparse Matrix-Vector Multiplication. CCGrid 2023: 535-544 - [c29]Wenxuan Li, Helin Cheng, Zhengyang Lu, Yuechen Lu, Weifeng Liu:
HASpMV: Heterogeneity-Aware Sparse Matrix-Vector Multiplication on Modern Asymmetric Multicore Processors. CLUSTER 2023: 209-220 - [c28]Mingjia Fan, Xiaotian Tian, Yintao He, Junxian Li, Yiru Duan, Xiaozhe Hu, Ying Wang, Zhou Jin, Weifeng Liu:
AmgR: Algebraic Multigrid Accelerated on ReRAM. DAC 2023: 1-6 - [c27]Tengcheng Wang, Wenhao Li, Haojie Pei, Yuying Sun, Zhou Jin, Weifeng Liu:
Accelerating Sparse LU Factorization with Density-Aware Adaptive Matrix Multiplication for Circuit Simulation. DAC 2023: 1-6 - [c26]Helin Cheng, Wenxuan Li, Yuechen Lu, Weifeng Liu:
HASpGEMM: Heterogeneity-Aware Sparse General Matrix-Matrix Multiplication on Modern Asymmetric Multicore Processors. ICPP 2023: 807-817 - [c25]Xu Fu, Bingbin Zhang, Tengcheng Wang, Wenhao Li, Yuechen Lu, Enxin Yi, Jianqi Zhao, Xiaohan Geng, Fangying Li, Jingwen Zhang, Zhou Jin, Weifeng Liu:
PanguLU: A Scalable Regular Two-Dimensional Block-Cyclic Sparse Direct Solver on Distributed Heterogeneous Systems. SC 2023: 51:1-51:14 - [c24]Yuechen Lu, Weifeng Liu:
DASP: Specific Dense Matrix Multiply-Accumulate Units Accelerated General Sparse Matrix-Vector Multiplication. SC 2023: 73:1-73:14 - 2022
- [j12]Zhen Xie, Guangming Tan, Weifeng Liu, Ninghui Sun:
A Pattern-Based SpGEMM Library for Multi-Core and Many-Core Architectures. IEEE Trans. Parallel Distributed Syst. 33(1): 159-175 (2022) - [c23]Haonan Ji, Huimin Song, Shibo Lu, Zhou Jin, Guangming Tan, Weifeng Liu:
TileSpMSpV: A Tiled Algorithm for Sparse Matrix-Sparse Vector Multiplication on GPUs. ICPP 2022: 9:1-9:11 - [c22]Yuyao Niu, Zhengyang Lu, Haonan Ji, Shuhui Song, Zhou Jin, Weifeng Liu:
TileSpGEMM: a tiled algorithm for parallel sparse general matrix-matrix multiplication on GPUs. PPoPP 2022: 90-106 - 2021
- [j11]Yuechen Lu, Yuchen Luo, Haocheng Lian, Zhou Jin, Weifeng Liu:
Implementing LU and Cholesky factorizations on artificial intelligence accelerators. CCF Trans. High Perform. Comput. 3(3): 286-297 (2021) - [j10]Haonan Ji, Shibo Lu, Kaixi Hou, Hao Wang, Zhou Jin, Weifeng Liu, Brian Vinter:
Segmented Merge: A New Primitive for Parallel Sparse Matrix Computations. Int. J. Parallel Program. 49(5): 732-744 (2021) - [j9]Jing Chen, Jianbin Fang, Weifeng Liu, Canqun Yang:
BALS: Blocked Alternating Least Squares for Parallel Sparse Matrix Factorization on GPUs. IEEE Trans. Parallel Distributed Syst. 32(9): 2291-2302 (2021) - [j8]Feng Zhang, Jiya Su, Weifeng Liu, Bingsheng He, Ruofan Wu, Xiaoyong Du, Rujia Wang:
YuenyeungSpTRSV: A Thread-Level and Warp-Level Fusion Synchronization-Free Sparse Triangular Solve. IEEE Trans. Parallel Distributed Syst. 32(9): 2321-2337 (2021) - [c21]Jianqi Zhao, Yao Wen, Yuchen Luo, Zhou Jin, Weifeng Liu, Zhenya Zhou:
SFLU: Synchronization-Free Sparse LU Factorization for Fast Circuit Simulation on GPUs. DAC 2021: 37-42 - [c20]Zhou Jin, Tian Feng, Yiru Duan, Xiao Wu, Minghou Cheng, Zhenya Zhou, Weifeng Liu:
PALBBD: A Parallel ArcLength Method Using Bordered Block Diagonal Form for DC Analysis. ACM Great Lakes Symposium on VLSI 2021: 327-332 - [c19]Yuyao Niu, Zhengyang Lu, Meichen Dong, Zhou Jin, Weifeng Liu, Guangming Tan:
TileSpMV: A Tiled Algorithm for Sparse Matrix-Vector Multiplication on GPUs. IPDPS 2021: 68-78 - 2020
- [j7]Jing Chen, Jianbin Fang, Weifeng Liu, Tao Tang, Canqun Yang:
clMF: A fine-grained and portable alternating least squares algorithm for parallel matrix factorization. Future Gener. Comput. Syst. 108: 1192-1205 (2020) - [c18]Jiya Su, Feng Zhang, Weifeng Liu, Bingsheng He, Ruofan Wu, Xiaoyong Du, Rujia Wang:
CapelliniSpTRSV: A Thread-Level Synchronization-Free Sparse Triangular Solve on GPUs. ICPP 2020: 2:1-2:11 - [c17]Zhengyang Lu, Yuyao Niu, Weifeng Liu:
Efficient Block Algorithms for Parallel Sparse Triangular Solve. ICPP 2020: 63:1-63:11 - [c16]Haonan Ji, Shibo Lu, Kaixi Hou, Hao Wang, Weifeng Liu, Brian Vinter:
Segmented Merge: A New Primitive for Parallel Sparse Matrix Computations. NPC 2020: 170-181 - [c15]Xiaosong Yu, Huihui Ma, Zhengyu Qu, Jianbin Fang, Weifeng Liu:
NUMA-Aware Optimization of Sparse Matrix-Vector Multiplication on ARMv8-Based Many-Core Architectures. NPC 2020: 231-242
2010 – 2019
- 2019
- [j6]Feng Zhang, Weifeng Liu, Ningxuan Feng, Jidong Zhai, Xiaoyong Du:
Performance evaluation and analysis of sparse matrix and graph kernels on heterogeneous processors. CCF Trans. High Perform. Comput. 1(2): 131-143 (2019) - [j5]Junhong Liu, Xin He, Weifeng Liu, Guangming Tan:
Register-Aware Optimizations for Parallel Sparse Matrix-Matrix Multiplication. Int. J. Parallel Program. 47(3): 403-417 (2019) - [c14]Zhen Xie, Guangming Tan, Weifeng Liu, Ninghui Sun:
IA-SpGEMM: an input-aware auto-tuning framework for parallel sparse matrix-matrix multiplication. ICS 2019: 94-105 - 2018
- [j4]Huamin Ren, Nattiya Kanhabua, Andreas Møgelmose, Weifeng Liu, Kaustubh Kulkarni, Sergio Escalera, Xavier Baró, Thomas B. Moeslund:
Back-dropout transfer learning for action recognition. IET Comput. Vis. 12(4): 484-491 (2018) - [c13]Ang Li, Weifeng Liu, Linnan Wang, Kevin J. Barker, Shuaiwen Leon Song:
Warp-Consolidation: A Novel Execution Model for GPUs. ICS 2018: 53-64 - [c12]Xinliang Wang, Weifeng Liu, Wei Xue, Li Wu:
swSpTRSV: a fast sparse triangular solve with sparse level tile layout on sunway architectures. PPoPP 2018: 338-353 - [c11]Junhong Liu, Xin He, Weifeng Liu, Guangming Tan:
Register-based implementation of the sparse general matrix-matrix multiplication on GPUs. PPoPP 2018: 407-408 - 2017
- [j3]Weifeng Liu, Ang Li, Jonathan D. Hogg, Iain S. Duff, Brian Vinter:
Fast synchronization-free algorithms for parallel sparse triangular solves with multiple right-hand sides. Concurr. Comput. Pract. Exp. 29(21) (2017) - [c10]Ang Li, Shuaiwen Leon Song, Weifeng Liu, Xu Liu, Akash Kumar, Henk Corporaal:
Locality-Aware CTA Clustering for Modern GPUs. ASPLOS 2017: 297-311 - [c9]Kaixi Hou, Weifeng Liu, Hao Wang, Wu-chun Feng:
Fast segmented sort on GPUs. ICS 2017: 12:1-12:10 - [c8]Jing Chen, Jianbin Fang, Weifeng Liu, Tao Tang, Xuhao Chen, Canqun Yang:
Efficient and Portable ALS Matrix Factorization for Recommender Systems. IPDPS Workshops 2017: 409-418 - [c7]Ang Li, Weifeng Liu, Mads Ruben Burgdorff Kristensen, Brian Vinter, Hao Wang, Kaixi Hou, Andres Marquez, Shuaiwen Leon Song:
Exploring and analyzing the real impact of modern on-package memory on HPC scientific kernels. SC 2017: 26 - 2016
- [c6]Weifeng Liu, Ang Li, Jonathan D. Hogg, Iain S. Duff, Brian Vinter:
A Synchronization-Free Algorithm for Parallel Sparse Triangular Solves. Euro-Par 2016: 617-630 - [c5]Hao Wang, Weifeng Liu, Kaixi Hou, Wu-chun Feng:
Parallel Transposition of Sparse Data Structures. ICS 2016: 33:1-33:13 - 2015
- [j2]Weifeng Liu, Brian Vinter:
A framework for general sparse matrix-matrix multiplication on GPUs and heterogeneous processors. J. Parallel Distributed Comput. 85: 47-61 (2015) - [j1]Weifeng Liu, Brian Vinter:
Speculative segmented sum for sparse matrix-vector multiplication on heterogeneous processors. Parallel Comput. 49: 179-193 (2015) - [c4]Huamin Ren, Weifeng Liu, Søren Ingvor Olsen, Sergio Escalera, Thomas B. Moeslund:
Unsupervised Behavior-Specific Dictionary Learning for Abnormal Event Detection. BMVC 2015: 28.1-28.13 - [c3]Weifeng Liu, Brian Vinter:
CSR5: An Efficient Storage Format for Cross-Platform Sparse Matrix-Vector Multiplication. ICS 2015: 339-350 - [i3]Weifeng Liu, Brian Vinter:
CSR5: An Efficient Storage Format for Cross-Platform Sparse Matrix-Vector Multiplication. CoRR abs/1503.05032 (2015) - [i2]Weifeng Liu, Brian Vinter:
A Framework for General Sparse Matrix-Matrix Multiplication on GPUs and Heterogeneous Processors. CoRR abs/1504.05022 (2015) - [i1]Weifeng Liu, Brian Vinter:
Speculative Segmented Sum for Sparse Matrix-Vector Multiplication on Heterogeneous Processors. CoRR abs/1504.06474 (2015) - 2014
- [c2]Weifeng Liu, Brian Vinter:
ad-heap: an Efficient Heap Data Structure for Asymmetric Multicore Processors. GPGPU@ASPLOS 2014: 54 - [c1]Weifeng Liu, Brian Vinter:
An Efficient GPU General Sparse Matrix-Matrix Multiplication for Irregular Data. IPDPS 2014: 370-381
Coauthor Index
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