Optimal bypass monitor for high performance last-level caches. - Lingda Li; Dong Tong 001; Zichao Xie; Junlin Lu; Xu Cheng 001 (PACT, 2012)

Improving inclusive cache performance with two-level eviction priority. - Lingda Li; Dong Tong 001; Zichao Xie; Junlin Lu; Xu Cheng 001 (ICCD, 2012)

An adaptive filtering mechanism for energy efficient data prefetching. - Xianglei Dang; Xiaoyin Wang; Dong Tong 001; Zichao Xie; Lingda Li; Keyi Wang (ASP-DAC, 2013)

Block value based insertion policy for high performance last-level caches. - Lingda Li; Junlin Lu; Xu Cheng 001 (ICS, 2014)

Retention Benefit Based Intelligent Cache Replacement. - Lingda Li; Junlin Lu; Xu Cheng 001 (J. Comput. Sci. Technol., 2014)

Tag-Split Cache for Efficient GPGPU Cache Utilization. - Lingda Li; Ari B. Hayes; Shuaiwen Leon Song; Eddy Z. Zhang (ICS, 2016)

Orion: A Framework for GPU Occupancy Tuning. - Ari B. Hayes; Lingda Li; Daniel G. Chavarría-Miranda; Shuaiwen Leon Song; Eddy Z. Zhang (Middleware, 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)

Benchmarking and Evaluating Unified Memory for OpenMP GPU Offloading. - Alok Mishra 002; Lingda Li; Martin Kong; Hal Finkel; Barbara M. Chapman (LLVM-HPC@SC, 2017)

GPU Taint Tracking. - Ari B. Hayes; Lingda Li; Mohammad Hedayati; Jia-Huan He; Eddy Z. Zhang; Kai Shen (USENIX ATC, 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)

Manage OpenMP GPU Data Environment Under Unified Address Space. - Lingda Li; Hal Finkel; Martin Kong; Barbara M. Chapman (IWOMP, 2018)

Compiler assisted hybrid implicit and explicit GPU memory management under unified address space. - Lingda Li; Barbara M. Chapman (SC, 2019)

C-SAW: a framework for graph sampling and random walk on GPUs. - Santosh Pandey; Lingda Li; Adolfy Hoisie; Xiaoye S. Li; Hang Liu 001 (SC, 2020)

An efficient uncertain graph processing framework for heterogeneous architectures. - Heng Zhang 005; Lingda Li; Donglin Zhuang; Rui Liu 002; Shuang Song; Dingwen Tao; Yanjun Wu; Shuaiwen Leon Song (PPoPP, 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 001 (SC, 2021)

SimNet: Computer Architecture Simulation using Machine Learning. - Lingda Li; Santosh Pandey; Thomas Flynn 001; Hang Liu 001; Noel Wheeler; Adolfy Hoisie (CoRR, 2021)

Trust: Triangle Counting Reloaded on GPUs. - Santosh Pandey; Zhibin Wang 002; Sheng Zhong 002; Chen Tian 001; Bolong Zheng; Xiaoye S. Li; Lingda Li; Adolfy Hoisie; Caiwen Ding; Dong Li 001; Hang Liu 001 (IEEE Trans. Parallel Distributed Syst., 2021)

Bring orders into uncertainty: enabling efficient uncertain graph processing via novel path sampling on multi-accelerator systems. - Heng Zhang 005; Lingda Li; Hang Liu 001; Donglin Zhuang; Rui Liu 002; Chengying Huan; Shuang Song; Dingwen Tao; Yongchao Liu; Charles He; Yanjun Wu; Shuaiwen Leon Song (ICS, 2022)

Scalable Deep Learning-Based Microarchitecture Simulation on GPUs. - Santosh Pandey; Lingda Li; Thomas Flynn 001; Adolfy Hoisie; Hang Liu 001 (SC, 2022)

SimNet: Accurate and High-Performance Computer Architecture Simulation using Deep Learning. - Lingda Li; Santosh Pandey; Thomas Flynn 001; Hang Liu 001; Noel Wheeler; Adolfy Hoisie (Proc. ACM Meas. Anal. Comput. Syst., 2022)

Characterizing Runtime Performance Variation in Error Detection by Duplicating Instructions. - Yafan Huang; Zhengyang He; Lingda Li; Guanpeng Li (ISSRE, 2023)

Learning Independent Program and Architecture Representations for Generalizable Performance Modeling. - Lingda Li; Thomas Flynn 001; Adolfy Hoisie (CoRR, 2023)

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 (SC Workshops, 2024)

Learning Generalizable Program and Architecture Representations for Performance Modeling. - Lingda Li; Thomas Flynn 001; Adolfy Hoisie (SC, 2024)

Towards accelerating particle-resolved direct numerical simulation with neural operators. - Mohammad Atif; Vanessa López-Marrero; Tao Zhang; Abdullah Sharfuddin; Kwangmin Yu; Jiaqi Yang; Fan Yang; Foluso Ladeinde; Yangang Liu; Meifeng Lin; Lingda Li (Stat. Anal. Data Min., 2024)