Lingda Li

According to our database, Lingda Li authored at least 25 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2024

Fourier neural operators for spatiotemporal dynamics in two-dimensional turbulence.

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

CoRR, 2024

Learning Generalizable Program and Architecture Representations for Performance Modeling.

Lingda Li, Thomas Flynn, Adolfy Hoisie

Proceedings of the International Conference for High Performance Computing, 2024

2023

Learning Independent Program and Architecture Representations for Generalizable Performance Modeling.

Lingda Li, Thomas Flynn, Adolfy Hoisie

CoRR, 2023

Characterizing Runtime Performance Variation in Error Detection by Duplicating Instructions.

Yafan Huang, Zhengyang He, Lingda Li, Guanpeng Li

Proceedings of the 34th IEEE International Symposium on Software Reliability Engineering, 2023

2022

SimNet: Accurate and High-Performance Computer Architecture Simulation using Deep Learning.

Lingda Li, Santosh Pandey, Thomas Flynn, Hang Liu, Noel Wheeler, Adolfy Hoisie

Proc. ACM Meas. Anal. Comput. Syst., 2022

Scalable Deep Learning-Based Microarchitecture Simulation on GPUs.

Santosh Pandey, Lingda Li, Thomas Flynn, Adolfy Hoisie, Hang Liu

Proceedings of the SC22: International Conference for High Performance Computing, 2022

Bring orders into uncertainty: enabling efficient uncertain graph processing via novel path sampling on multi-accelerator systems.

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

Proceedings of the ICS '22: 2022 International Conference on Supercomputing, Virtual Event, June 28, 2022

2021

Trust: Triangle Counting Reloaded on GPUs.

Santosh Pandey, Zhibin Wang, Sheng Zhong, Chen Tian, Bolong Zheng, Xiaoye S. Li, Lingda Li, Adolfy Hoisie, Caiwen Ding, Dong Li, Hang Liu

IEEE Trans. Parallel Distributed Syst., 2021

SimNet: Computer Architecture Simulation using Machine Learning.

Lingda Li, Santosh Pandey, Thomas Flynn, Hang Liu, Noel Wheeler, Adolfy Hoisie

CoRR, 2021

Dr. Top-k: delegate-centric Top-k on GPUs.

Anil Gaihre, Da Zheng, Scott Weitze, Lingda Li, Shuaiwen Leon Song, Caiwen Ding, Xiaoye S. Li, Hang Liu

Proceedings of the International Conference for High Performance Computing, 2021

An efficient uncertain graph processing framework for heterogeneous architectures.

Heng Zhang, Lingda Li, Donglin Zhuang, Rui Liu, Shuang Song, Dingwen Tao, Yanjun Wu, Shuaiwen Leon Song

Proceedings of the PPoPP '21: 26th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2021

2020

C-SAW: a framework for graph sampling and random walk on GPUs.

Santosh Pandey, Lingda Li, Adolfy Hoisie, Xiaoye S. Li, Hang Liu

Proceedings of the International Conference for High Performance Computing, 2020

2019

Compiler assisted hybrid implicit and explicit GPU memory management under unified address space.

Lingda Li, Barbara M. Chapman

Proceedings of the International Conference for High Performance Computing, 2019

2018

Manage OpenMP GPU Data Environment Under Unified Address Space.

Lingda Li, Hal Finkel, Martin Kong, Barbara M. Chapman

Proceedings of the Evolving OpenMP for Evolving Architectures, 2018

2017

A Simple Yet Effective Balanced Edge Partition Model for Parallel Computing.

Lingda Li, Robel Geda, Ari B. Hayes, Yan-Hao Chen, Pranav Chaudhari, Eddy Z. Zhang, Mario Szegedy

Proc. ACM Meas. Anal. Comput. Syst., 2017

GPU Taint Tracking.

Ari B. Hayes, Lingda Li, Mohammad Hedayati, Jia-Huan He, Eddy Z. Zhang, Kai Shen

Proceedings of the 2017 USENIX Annual Technical Conference, 2017

Benchmarking and Evaluating Unified Memory for OpenMP GPU Offloading.

Alok Mishra, Lingda Li, Martin Kong, Hal Finkel, Barbara M. Chapman

Proceedings of the Fourth Workshop on the LLVM Compiler Infrastructure in HPC, 2017

2016

A Graph-based Model for GPU Caching Problems.

Lingda Li, Ari B. Hayes, Stephen A. Hackler, Eddy Z. Zhang, Mario Szegedy, Shuaiwen Leon Song

CoRR, 2016

Orion: A Framework for GPU Occupancy Tuning.

Ari B. Hayes, Lingda Li, Daniel G. Chavarría-Miranda, Shuaiwen Leon Song, Eddy Z. Zhang

Proceedings of the 17th International Middleware Conference, Trento, Italy, December 12, 2016

Tag-Split Cache for Efficient GPGPU Cache Utilization.

Lingda Li, Ari B. Hayes, Shuaiwen Leon Song, Eddy Z. Zhang

Proceedings of the 2016 International Conference on Supercomputing, 2016

2014

Retention Benefit Based Intelligent Cache Replacement.

Lingda Li, Junlin Lu, Xu Cheng

J. Comput. Sci. Technol., 2014

Block value based insertion policy for high performance last-level caches.

Lingda Li, Junlin Lu, Xu Cheng

Proceedings of the 2014 International Conference on Supercomputing, 2014

2013

An adaptive filtering mechanism for energy efficient data prefetching.

Xianglei Dang, Xiaoyin Wang, Dong Tong, Zichao Xie, Lingda Li, Keyi Wang

Proceedings of the 18th Asia and South Pacific Design Automation Conference, 2013

2012

Improving inclusive cache performance with two-level eviction priority.

Lingda Li, Dong Tong, Zichao Xie, Junlin Lu, Xu Cheng

Proceedings of the 30th International IEEE Conference on Computer Design, 2012

Optimal bypass monitor for high performance last-level caches.

Lingda Li, Dong Tong, Zichao Xie, Junlin Lu, Xu Cheng

Proceedings of the International Conference on Parallel Architectures and Compilation Techniques, 2012