Weifeng Liu

65 papers A* 7A 18B 12C 4Journal 20Unranked 4
YearRankTypeTitle / Venue / Authors
2026 B conf
Characterizing Matrix Multiplication Units across General Parallel Patterns in Scientific Computing.
PPoPP
Yuechen Lu, Hongwei Zeng, Marc Casas, Weifeng Liu
2026 B conf
DiggerBees: Depth First Search Leveraging Hierarchical Block-Level Stealing on GPUs.
PPoPP
Yuyao Niu, Yuechen Lu, Weifeng Liu, Marc Casas
2026 B conf
Trojan Horse: Aggregate-and-Batch for Scaling Up Sparse Direct Solvers on GPU Clusters.
PPoPP
Yida Li, Siwei Zhang, Yiduo Niu, Yang Du, Qingxiao Sun, Zhou Jin, Weifeng Liu
2025 J jnl
Flexible Operator Fusion for Fast Sparse Transformer with Diverse Masking on GPU.
CoRR
Wenhao Dai, Haodong Deng, Mengfei Rong, Xinyu Yang, Hongyu Liu, Fangxin Liu, Hailong Yang, Weifeng Liu, Qingxiao Sun
2025 A conf
KAMI: Communication-Avoiding General Matrix Multiplication within a Single GPU.
SC
Hemeng Wang, Yang Du, Sidu Li, Xiaowen Tian, Qingxiao Sun, Weifeng Liu
2025 A* conf
MemSens: Significantly Reducing Memory Overhead in Adjoint Sensitivity Analysis Using Novel Error-Bounded Lossy Compression.
DAC
Chenxi Li, Yihang Feng, Fuxing Deng, Dingwen Tao, Weifeng Liu, Zhou Jin
2025 C conf
ReRAM-Based Process-In-Memory Accelerator for Iterative Solvers: A Systematic Survey.
ISCAS
Boyu Geng, Mingjia Fan, Zhou Jin, Weifeng Liu
2025 J jnl
νGNN: Non-Uniformly partitioned full-graph GNN training on mixed GPUs.
CCF Trans. High Perform. Comput.
Hemeng Wang, Wenqing Lin, Qingxiao Sun, Weifeng Liu
2024 A conf
AmgT: Algebraic Multigrid Solver on Tensor Cores.
SC
Yuechen Lu, Lijie Zeng, Tengcheng Wang, Xu Fu, Wenxuan Li, Helin Cheng, Dechuang Yang, Zhou Jin, Marc Casas, Weifeng Liu
2024 A conf
CSP: Comprehensively-Sparsified Preconditioner for Efficient Nonlinear Circuit Simulation.
ICCAD
Yuxuan Zhao, Xiaoyu Yang, Yinuo Bai, Lijie Zeng, Dan Niu, Weifeng Liu, Zhou Jin
2024 A conf
Cuper: Customized Dataflow and Perceptual Decoding for Sparse Matrix-Vector Multiplication on HBM-Equipped FPGAs.
DATE
Enxin Yi, Yiru Duan, Yinuo Bai, Kang Zhao, Zhou Jin, Weifeng Liu
2024 A conf
Efficient Spectral-Aware Power Supply Noise Analysis for Low-Power Design Verification.
DATE
Yinuo Bai, Xiaoyu Yang, Yicheng Lu, Dan Niu, Cheng Zhuo, Zhou Jin, Weifeng Liu
2024 A conf
Leda: Leveraging Tiling Dataflow to Accelerate SpMM on HBM-Equipped FPGAs for GNNs.
ICCAD
Enxin Yi, Jiarui Bai, Yijie Nie, Dan Niu, Zhou Jin, Weifeng Liu
2024 A* conf
MASC: A Memory-Efficient Adjoint Sensitivity Analysis through Compression Using Novel Spatiotemporal Prediction.
DAC
Chenxi Li, Boyuan Zhang, Yongqiang Duan, Yang Li, Zuochang Ye, Weifeng Liu, Dingwen Tao, Zhou Jin
2024 B conf
Machine Learning and GPU Accelerated Sparse Linear Solvers for Transistor-Level Circuit Simulation: A Perspective Survey (Invited Paper).
ASPDAC
Zhou Jin, Wenhao Li, Yinuo Bai, Tengcheng Wang, Yicheng Lu, Weifeng Liu
2024 A conf
Mille-feuille: A Tile-Grained Mixed Precision Single-Kernel Conjugate Gradient Solver on GPUs.
SC
Dechuang Yang, Yuxuan Zhao, Yiduo Niu, Weile Jia, En Shao, Weifeng Liu, Guangming Tan, Zhou Jin
2024 A* conf
ReCG: ReRAM-Accelerated Sparse Conjugate Gradient.
DAC
Mingjia Fan, Xiaoming Chen, Dechuang Yang, Zhou Jin, Weifeng Liu
2024 J jnl
thSORT: an efficient parallel sorting algorithm on multi-core DSPs.
CCF Trans. High Perform. Comput.
Mouzhi Yang, Peng Zhang, Jianbin Fang, Weifeng Liu, Chun Huang
2023 A* conf
Accelerating Sparse LU Factorization with Density-Aware Adaptive Matrix Multiplication for Circuit Simulation.
DAC
Tengcheng Wang, Wenhao Li, Haojie Pei, Yuying Sun, Zhou Jin, Weifeng Liu
2023 A* conf
AmgR: Algebraic Multigrid Accelerated on ReRAM.
DAC
Mingjia Fan, Xiaotian Tian, Yintao He, Junxian Li, Yiru Duan, Xiaozhe Hu, Ying Wang, Zhou Jin, Weifeng Liu
2023 B conf
Balancing Computation and Communication in Distributed Sparse Matrix-Vector Multiplication.
CCGrid
Hongli Mi, Xiangrui Yu, Xiaosong Yu, Shuangyuan Wu, Weifeng Liu
2023 A conf
DASP: Specific Dense Matrix Multiply-Accumulate Units Accelerated General Sparse Matrix-Vector Multiplication.
SC
Yuechen Lu, Weifeng Liu
2023 J jnl
Editorial for the special issue on architecture, algorithms and applications of high performance sparse matrix computations.
CCF Trans. High Perform. Comput.
Weifeng Liu, Guangming Tan, Xiaowen Xu
2023 B conf
HASpGEMM: Heterogeneity-Aware Sparse General Matrix-Matrix Multiplication on Modern Asymmetric Multicore Processors.
ICPP
Helin Cheng, Wenxuan Li, Yuechen Lu, Weifeng Liu
2023 C conf
HASpMV: Heterogeneity-Aware Sparse Matrix-Vector Multiplication on Modern Asymmetric Multicore Processors.
CLUSTER
Wenxuan Li, Helin Cheng, Zhengyang Lu, Yuechen Lu, Weifeng Liu
2023 A conf
PanguLU: A Scalable Regular Two-Dimensional Block-Cyclic Sparse Direct Solver on Distributed Heterogeneous Systems.
SC
Xu Fu, Bingbin Zhang, Tengcheng Wang, Wenhao Li, Yuechen Lu, Enxin Yi, Jianqi Zhao, Xiaohan Geng, Fangying Li, Jingwen Zhang, Zhou Jin, Weifeng Liu
2023 J jnl
TileSpTRSV: a tiled algorithm for parallel sparse triangular solve on GPUs.
CCF Trans. High Perform. Comput.
Zhengyang Lu, Weifeng Liu
2022 J jnl
A Pattern-Based SpGEMM Library for Multi-Core and Many-Core Architectures.
IEEE Trans. Parallel Distributed Syst.
Zhen Xie, Guangming Tan, Weifeng Liu, Ninghui Sun
2022 B conf
TileSpGEMM: a tiled algorithm for parallel sparse general matrix-matrix multiplication on GPUs.
PPoPP
Yuyao Niu, Zhengyang Lu, Haonan Ji, Shuhui Song, Zhou Jin, Weifeng Liu
2022 B conf
TileSpMSpV: A Tiled Algorithm for Sparse Matrix-Sparse Vector Multiplication on GPUs.
ICPP
Haonan Ji, Huimin Song, Shibo Lu, Zhou Jin, Guangming Tan, Weifeng Liu
2021 J jnl
BALS: Blocked Alternating Least Squares for Parallel Sparse Matrix Factorization on GPUs.
IEEE Trans. Parallel Distributed Syst.
Jing Chen, Jianbin Fang, Weifeng Liu, Canqun Yang
2021 J jnl
Implementing LU and Cholesky factorizations on artificial intelligence accelerators.
CCF Trans. High Perform. Comput.
Yuechen Lu, Yuchen Luo, Haocheng Lian, Zhou Jin, Weifeng Liu
2021 — conf
PALBBD: A Parallel ArcLength Method Using Bordered Block Diagonal Form for DC Analysis.
ACM Great Lakes Symposium on VLSI
Zhou Jin, Tian Feng, Yiru Duan, Xiao Wu, Minghou Cheng, Zhenya Zhou, Weifeng Liu
2021 A* conf
SFLU: Synchronization-Free Sparse LU Factorization for Fast Circuit Simulation on GPUs.
DAC
Jianqi Zhao, Yao Wen, Yuchen Luo, Zhou Jin, Weifeng Liu, Zhenya Zhou
2021 J jnl
Segmented Merge: A New Primitive for Parallel Sparse Matrix Computations.
Int. J. Parallel Program.
Haonan Ji, Shibo Lu, Kaixi Hou, Hao Wang, Zhou Jin, Weifeng Liu, Brian Vinter
2021 A conf
TileSpMV: A Tiled Algorithm for Sparse Matrix-Vector Multiplication on GPUs.
IPDPS
Yuyao Niu, Zhengyang Lu, Meichen Dong, Zhou Jin, Weifeng Liu, Guangming Tan
2021 J jnl
YuenyeungSpTRSV: A Thread-Level and Warp-Level Fusion Synchronization-Free Sparse Triangular Solve.
IEEE Trans. Parallel Distributed Syst.
Feng Zhang, Jiya Su, Weifeng Liu, Bingsheng He, Ruofan Wu, Xiaoyong Du, Rujia Wang
2020 B conf
CapelliniSpTRSV: A Thread-Level Synchronization-Free Sparse Triangular Solve on GPUs.
ICPP
Jiya Su, Feng Zhang, Weifeng Liu, Bingsheng He, Ruofan Wu, Xiaoyong Du, Rujia Wang
2020 B conf
Efficient Block Algorithms for Parallel Sparse Triangular Solve.
ICPP
Zhengyang Lu, Yuyao Niu, Weifeng Liu
2020 C conf
NUMA-Aware Optimization of Sparse Matrix-Vector Multiplication on ARMv8-Based Many-Core Architectures.
NPC
Xiaosong Yu, Huihui Ma, Zhengyu Qu, Jianbin Fang, Weifeng Liu
2020 C conf
Segmented Merge: A New Primitive for Parallel Sparse Matrix Computations.
NPC
Haonan Ji, Shibo Lu, Kaixi Hou, Hao Wang, Weifeng Liu, Brian Vinter
2020 J jnl
clMF: A fine-grained and portable alternating least squares algorithm for parallel matrix factorization.
Future Gener. Comput. Syst.
Jing Chen, Jianbin Fang, Weifeng Liu, Tao Tang, Canqun Yang
2019 A conf
IA-SpGEMM: an input-aware auto-tuning framework for parallel sparse matrix-matrix multiplication.
ICS
Zhen Xie, Guangming Tan, Weifeng Liu, Ninghui Sun
2019 J jnl
Performance evaluation and analysis of sparse matrix and graph kernels on heterogeneous processors.
CCF Trans. High Perform. Comput.
Feng Zhang, Weifeng Liu, Ningxuan Feng, Jidong Zhai, Xiaoyong Du
2019 J jnl
Register-Aware Optimizations for Parallel Sparse Matrix-Matrix Multiplication.
Int. J. Parallel Program.
Junhong Liu, Xin He, Weifeng Liu, Guangming Tan
2018 J jnl
Back-dropout transfer learning for action recognition.
IET Comput. Vis.
Huamin Ren, Nattiya Kanhabua, Andreas Møgelmose, Weifeng Liu, Kaustubh Kulkarni, Sergio Escalera, Xavier Baró, Thomas B. Moeslund
2018 B conf
Register-based implementation of the sparse general matrix-matrix multiplication on GPUs.
PPoPP
Junhong Liu, Xin He, Weifeng Liu, Guangming Tan
2018 A conf
Warp-Consolidation: A Novel Execution Model for GPUs.
ICS
Ang Li, Weifeng Liu, Linnan Wang, Kevin J. Barker, Shuaiwen Leon Song
2018 B conf
swSpTRSV: a fast sparse triangular solve with sparse level tile layout on sunway architectures.
PPoPP
Xinliang Wang, Weifeng Liu, Wei Xue, Li Wu
2017 — conf
Efficient and Portable ALS Matrix Factorization for Recommender Systems.
IPDPS Workshops
Jing Chen, Jianbin Fang, Weifeng Liu, Tao Tang, Xuhao Chen, Canqun Yang
2017 A conf
Exploring and analyzing the real impact of modern on-package memory on HPC scientific kernels.
SC
Ang Li, Weifeng Liu, Mads Ruben Burgdorff Kristensen, Brian Vinter, Hao Wang, Kaixi Hou, Andres Marquez, Shuaiwen Leon Song
2017 A conf
Fast segmented sort on GPUs.
ICS
Kaixi Hou, Weifeng Liu, Hao Wang, Wu-chun Feng
2017 J jnl
Fast synchronization-free algorithms for parallel sparse triangular solves with multiple right-hand sides.
Concurr. Comput. Pract. Exp.
Weifeng Liu, Ang Li, Jonathan D. Hogg, Iain S. Duff, Brian Vinter
2017 A* conf
Locality-Aware CTA Clustering for Modern GPUs.
ASPLOS
Ang Li, Shuaiwen Leon Song, Weifeng Liu, Xu Liu, Akash Kumar, Henk Corporaal
2016 — conf
A Synchronization-Free Algorithm for Parallel Sparse Triangular Solves.
Euro-Par
Weifeng Liu, Ang Li, Jonathan D. Hogg, Iain S. Duff, Brian Vinter
2016 A conf
Parallel Transposition of Sparse Data Structures.
ICS
Hao Wang, Weifeng Liu, Kaixi Hou, Wu-chun Feng
2015 J jnl
A Framework for General Sparse Matrix-Matrix Multiplication on GPUs and Heterogeneous Processors.
CoRR
Weifeng Liu, Brian Vinter
2015 J jnl
A framework for general sparse matrix-matrix multiplication on GPUs and heterogeneous processors.
J. Parallel Distributed Comput.
Weifeng Liu, Brian Vinter
2015 A conf
CSR5: An Efficient Storage Format for Cross-Platform Sparse Matrix-Vector Multiplication.
ICS
Weifeng Liu, Brian Vinter
2015 J jnl
CSR5: An Efficient Storage Format for Cross-Platform Sparse Matrix-Vector Multiplication.
CoRR
Weifeng Liu, Brian Vinter
2015 J jnl
Speculative Segmented Sum for Sparse Matrix-Vector Multiplication on Heterogeneous Processors.
CoRR
Weifeng Liu, Brian Vinter
2015 J jnl
Speculative segmented sum for sparse matrix-vector multiplication on heterogeneous processors.
Parallel Comput.
Weifeng Liu, Brian Vinter
2015 A conf
Unsupervised Behavior-Specific Dictionary Learning for Abnormal Event Detection.
BMVC
Huamin Ren, Weifeng Liu, Søren Ingvor Olsen, Sergio Escalera, Thomas B. Moeslund
2014 A conf
An Efficient GPU General Sparse Matrix-Matrix Multiplication for Irregular Data.
IPDPS
Weifeng Liu, Brian Vinter
2014 — conf
ad-heap: an Efficient Heap Data Structure for Asymmetric Multicore Processors.
GPGPU@ASPLOS
Weifeng Liu, Brian Vinter