Weifeng Liu

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 40

Top Topics

Dictionary Learning

Multicore Processors

Top Venues

CCF Trans. High Perform. Comput.

Publications

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)
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)
Zhou Jin, Wenhao Li, Yinuo Bai, Tengcheng Wang, Yicheng Lu, Weifeng Liu
Machine Learning and GPU Accelerated Sparse Linear Solvers for Transistor-Level Circuit Simulation: A Perspective Survey (Invited Paper). ASPDAC (2024)
Yuechen Lu, Weifeng Liu
DASP: Specific Dense Matrix Multiply-Accumulate Units Accelerated General Sparse Matrix-Vector Multiplication. SC (2023)
Wenxuan Li, Helin Cheng, Zhengyang Lu, Yuechen Lu, Weifeng Liu
HASpMV: Heterogeneity-Aware Sparse Matrix-Vector Multiplication on Modern Asymmetric Multicore Processors. CLUSTER (2023)
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)
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) (2023)
Hongli Mi, Xiangrui Yu, Xiaosong Yu, Shuangyuan Wu, Weifeng Liu
Balancing Computation and Communication in Distributed Sparse Matrix-Vector Multiplication. CCGrid (2023)
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)
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)
Helin Cheng, Wenxuan Li, Yuechen Lu, Weifeng Liu
HASpGEMM: Heterogeneity-Aware Sparse General Matrix-Matrix Multiplication on Modern Asymmetric Multicore Processors. ICPP (2023)
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) (2022)
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)
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)
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) (2021)
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) (2021)
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)
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)
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) (2021)
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)
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) (2021)
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 (2020)
Zhengyang Lu, Yuyao Niu, Weifeng Liu
Efficient Block Algorithms for Parallel Sparse Triangular Solve. ICPP (2020)
Haonan Ji, Shibo Lu, Kaixi Hou, Hao Wang, Weifeng Liu, Brian Vinter
Segmented Merge: A New Primitive for Parallel Sparse Matrix Computations. NPC (2020)
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)
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)
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) (2019)
Zhen Xie, Guangming Tan, Weifeng Liu, Ninghui Sun
IA-SpGEMM: an input-aware auto-tuning framework for parallel sparse matrix-matrix multiplication. ICS (2019)
Junhong Liu, Xin He, Weifeng Liu, Guangming Tan
Register-Aware Optimizations for Parallel Sparse Matrix-Matrix Multiplication. Int. J. Parallel Program. 47 (3) (2019)
Xinliang Wang, Weifeng Liu, Wei Xue, Li Wu
swSpTRSV: a fast sparse triangular solve with sparse level tile layout on sunway architectures. PPOPP (2018)
Ang Li, Weifeng Liu, Linnan Wang, Kevin J. Barker, Shuaiwen Leon Song
Warp-Consolidation: A Novel Execution Model for GPUs. ICS (2018)
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) (2018)
Junhong Liu, Xin He, Weifeng Liu, Guangming Tan
Register-based implementation of the sparse general matrix-matrix multiplication on GPUs. PPOPP (2018)
Jing Chen, Jianbin Fang, Weifeng Liu, Tao Tang, Xuhao Chen, Canqun Yang
Efficient and Portable ALS Matrix Factorization for Recommender Systems. IPDPS Workshops (2017)
Ang Li, Shuaiwen Leon Song, Weifeng Liu, Xu Liu, Akash Kumar, Henk Corporaal
Locality-Aware CTA Clustering for Modern GPUs. ASPLOS (2017)
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)
Kaixi Hou, Weifeng Liu, Hao Wang, Wu-chun Feng
Fast segmented sort on GPUs. ICS (2017)
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)
Weifeng Liu, Ang Li, Jonathan D. Hogg, Iain S. Duff, Brian Vinter
A Synchronization-Free Algorithm for Parallel Sparse Triangular Solves. Euro-Par (2016)
Hao Wang, Weifeng Liu, Kaixi Hou, Wu-chun Feng
Parallel Transposition of Sparse Data Structures. ICS (2016)
Weifeng Liu, Brian Vinter
Speculative segmented sum for sparse matrix-vector multiplication on heterogeneous processors. Parallel Comput. 49 (2015)
Huamin Ren, Weifeng Liu, Søren Ingvor Olsen, Sergio Escalera, Thomas B. Moeslund
Unsupervised Behavior-Specific Dictionary Learning for Abnormal Event Detection. BMVC (2015)
Weifeng Liu, Brian Vinter
Speculative Segmented Sum for Sparse Matrix-Vector Multiplication on Heterogeneous Processors. CoRR (2015)
Weifeng Liu, Brian Vinter
CSR5: An Efficient Storage Format for Cross-Platform Sparse Matrix-Vector Multiplication. CoRR (2015)
Weifeng Liu, Brian Vinter
CSR5: An Efficient Storage Format for Cross-Platform Sparse Matrix-Vector Multiplication. ICS (2015)
Weifeng Liu, Brian Vinter
A Framework for General Sparse Matrix-Matrix Multiplication on GPUs and Heterogeneous Processors. CoRR (2015)
Weifeng Liu, Brian Vinter
A framework for general sparse matrix-matrix multiplication on GPUs and heterogeneous processors. J. Parallel Distributed Comput. 85 (2015)
Weifeng Liu, Brian Vinter
ad-heap: an Efficient Heap Data Structure for Asymmetric Multicore Processors. GPGPU@ASPLOS (2014)
Weifeng Liu, Brian Vinter
An Efficient GPU General Sparse Matrix-Matrix Multiplication for Irregular Data. IPDPS (2014)