Lingda Li

32 papers A 10B 2C 1Journal 12Unranked 7
YearRankTypeTitle / Venue / Authors
2024 — conf
Fourier neural operators for spatiotemporal dynamics in two-dimensional turbulence.
SC Workshops
Mohammad Atif, Pulkit Dubey, Pratik P. Aghor, Vanessa López-Marrero, Tao Zhang, Abdullah Sharfuddin, Kwangmin Yu, Fan Yang, Foluso Ladeinde, Yangang Liu, Meifeng Lin, Lingda Li
2024 J jnl
Fourier neural operators for spatiotemporal dynamics in two-dimensional turbulence.
CoRR
Mohammad Atif, Pulkit Dubey, Pratik P. Aghor, Vanessa López-Marrero, Tao Zhang, Abdullah Sharfuddin, Kwangmin Yu, Fan Yang, Foluso Ladeinde, Yangang Liu, Meifeng Lin, Lingda Li
2024 A conf
Learning Generalizable Program and Architecture Representations for Performance Modeling.
SC
Lingda Li, Thomas Flynn, Adolfy Hoisie
2024 J jnl
Towards accelerating particle-resolved direct numerical simulation with neural operators.
Stat. Anal. Data Min.
Mohammad Atif, Vanessa López-Marrero, Tao Zhang, Abdullah Sharfuddin, Kwangmin Yu, Jiaqi Yang, Fan Yang, Foluso Ladeinde, Yangang Liu, Meifeng Lin, Lingda Li
2023 A conf
Characterizing Runtime Performance Variation in Error Detection by Duplicating Instructions.
ISSRE
Yafan Huang, Zhengyang He, Lingda Li, Guanpeng Li
2023 J jnl
Learning Independent Program and Architecture Representations for Generalizable Performance Modeling.
CoRR
Lingda Li, Thomas Flynn, Adolfy Hoisie
2022 A conf
Bring orders into uncertainty: enabling efficient uncertain graph processing via novel path sampling on multi-accelerator systems.
ICS
Heng Zhang, Lingda Li, Hang Liu, Donglin Zhuang, Rui Liu, Chengying Huan, Shuang Song, Dingwen Tao, Yongchao Liu, Charles He, Yanjun Wu, Shuaiwen Leon Song
2022 A conf
Scalable Deep Learning-Based Microarchitecture Simulation on GPUs.
SC
Santosh Pandey, Lingda Li, Thomas Flynn, Adolfy Hoisie, Hang Liu
2022 — conf
SimNet: Accurate and High-Performance Computer Architecture Simulation using Deep Learning.
SIGMETRICS (Abstracts)
Lingda Li, Santosh Pandey, Thomas Flynn, Hang Liu, Noel Wheeler, Adolfy Hoisie
2022 J jnl
SimNet: Accurate and High-Performance Computer Architecture Simulation using Deep Learning.
Proc. ACM Meas. Anal. Comput. Syst.
Lingda Li, Santosh Pandey, Thomas Flynn, Hang Liu, Noel Wheeler, Adolfy Hoisie
2021 B conf
An efficient uncertain graph processing framework for heterogeneous architectures.
PPoPP
Heng Zhang, Lingda Li, Donglin Zhuang, Rui Liu, Shuang Song, Dingwen Tao, Yanjun Wu, Shuaiwen Leon Song
2021 J jnl
Dr. Top-k: Delegate-Centric Top-k on GPUs.
CoRR
Anil Gaihre, Da Zheng, Scott Weitze, Lingda Li, Shuaiwen Leon Song, Caiwen Ding, Xiaoye S. Li, Hang Liu
2021 A conf
Dr. Top-k: delegate-centric Top-k on GPUs.
SC
Anil Gaihre, Da Zheng, Scott Weitze, Lingda Li, Shuaiwen Leon Song, Caiwen Ding, Xiaoye S. Li, Hang Liu
2021 J jnl
SimNet: Computer Architecture Simulation using Machine Learning.
CoRR
Lingda Li, Santosh Pandey, Thomas Flynn, Hang Liu, Noel Wheeler, Adolfy Hoisie
2021 J jnl
TRUST: Triangle Counting Reloaded on GPUs.
CoRR
Santosh Pandey, Zhibin Wang, Sheng Zhong, Chen Tian, Bolong Zheng, Xiaoye S. Li, Lingda Li, Adolfy Hoisie, Caiwen Ding, Dong Li, Hang Liu
2021 J jnl
Trust: Triangle Counting Reloaded on GPUs.
IEEE Trans. Parallel Distributed Syst.
Santosh Pandey, Zhibin Wang, Sheng Zhong, Chen Tian, Bolong Zheng, Xiaoye S. Li, Lingda Li, Adolfy Hoisie, Caiwen Ding, Dong Li, Hang Liu
2020 J jnl
C-SAW: A Framework for Graph Sampling and Random Walk on GPUs.
CoRR
Santosh Pandey, Lingda Li, Adolfy Hoisie, Xiaoye S. Li, Hang Liu
2020 A conf
C-SAW: a framework for graph sampling and random walk on GPUs.
SC
Santosh Pandey, Lingda Li, Adolfy Hoisie, Xiaoye S. Li, Hang Liu
2019 A conf
Compiler assisted hybrid implicit and explicit GPU memory management under unified address space.
SC
Lingda Li, Barbara M. Chapman
2018 — conf
Manage OpenMP GPU Data Environment Under Unified Address Space.
IWOMP
Lingda Li, Hal Finkel, Martin Kong, Barbara M. Chapman
2017 — conf
A Simple Yet Effective Balanced Edge Partition Model for Parallel Computing.
SIGMETRICS (Abstracts)
Lingda Li, Robel Geda, Ari B. Hayes, Yan-Hao Chen, Pranav Chaudhari, Eddy Z. Zhang, Mario Szegedy
2017 J jnl
A Simple Yet Effective Balanced Edge Partition Model for Parallel Computing.
Proc. ACM Meas. Anal. Comput. Syst.
Lingda Li, Robel Geda, Ari B. Hayes, Yan-Hao Chen, Pranav Chaudhari, Eddy Z. Zhang, Mario Szegedy
2017 — conf
Benchmarking and Evaluating Unified Memory for OpenMP GPU Offloading.
LLVM-HPC@SC
Alok Mishra, Lingda Li, Martin Kong, Hal Finkel, Barbara M. Chapman
2017 — conf
GPU Taint Tracking.
USENIX ATC
Ari B. Hayes, Lingda Li, Mohammad Hedayati, Jia-Huan He, Eddy Z. Zhang, Kai Shen
2016 J jnl
A Graph-based Model for GPU Caching Problems.
CoRR
Lingda Li, Ari B. Hayes, Stephen A. Hackler, Eddy Z. Zhang, Mario Szegedy, Shuaiwen Leon Song
2016 A conf
Orion: A Framework for GPU Occupancy Tuning.
Middleware
Ari B. Hayes, Lingda Li, Daniel G. Chavarría-Miranda, Shuaiwen Leon Song, Eddy Z. Zhang
2016 A conf
Tag-Split Cache for Efficient GPGPU Cache Utilization.
ICS
Lingda Li, Ari B. Hayes, Shuaiwen Leon Song, Eddy Z. Zhang
2014 A conf
Block value based insertion policy for high performance last-level caches.
ICS
Lingda Li, Junlin Lu, Xu Cheng
2014 J jnl
Retention Benefit Based Intelligent Cache Replacement.
J. Comput. Sci. Technol.
Lingda Li, Junlin Lu, Xu Cheng
2013 — conf
An adaptive filtering mechanism for energy efficient data prefetching.
ASP-DAC
Xianglei Dang, Xiaoyin Wang, Dong Tong, Zichao Xie, Lingda Li, Keyi Wang
2012 C conf
Improving inclusive cache performance with two-level eviction priority.
ICCD
Lingda Li, Dong Tong, Zichao Xie, Junlin Lu, Xu Cheng
2012 B conf
Optimal bypass monitor for high performance last-level caches.
PACT
Lingda Li, Dong Tong, Zichao Xie, Junlin Lu, Xu Cheng