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Lingda Li
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2020 – today
- 2024
- [i7]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:
Fourier neural operators for spatiotemporal dynamics in two-dimensional turbulence. CoRR abs/2409.14660 (2024) - 2023
- [c18]Yafan Huang
, Zhengyang He, Lingda Li, Guanpeng Li:
Characterizing Runtime Performance Variation in Error Detection by Duplicating Instructions. ISSRE 2023: 730-741 - [i6]Lingda Li, Thomas Flynn, Adolfy Hoisie:
Learning Independent Program and Architecture Representations for Generalizable Performance Modeling. CoRR abs/2310.16792 (2023) - 2022
- [j4]Lingda Li
SimNet: Accurate and High-Performance Computer Architecture Simulation using Deep Learning. Proc. ACM Meas. Anal. Comput. Syst. 6(2): 25:1-25:24 (2022) - [c17]Heng Zhang, Lingda Li, Hang Liu, Donglin Zhuang, Rui Liu, Chengying Huan, Shuang Song, Dingwen Tao
Bring orders into uncertainty: enabling efficient uncertain graph processing via novel path sampling on multi-accelerator systems. ICS 2022: 11:1-11:14 - [c16]Santosh Pandey
Scalable Deep Learning-Based Microarchitecture Simulation on GPUs. SC 2022: 79:1-79:15 - [c15]Lingda Li, Santosh Pandey, Thomas Flynn, Hang Liu, Noel Wheeler, Adolfy Hoisie:
SimNet: Accurate and High-Performance Computer Architecture Simulation using Deep Learning. SIGMETRICS (Abstracts) 2022: 67-68 - 2021
- [j3]Santosh Pandey
Trust: Triangle Counting Reloaded on GPUs. IEEE Trans. Parallel Distributed Syst. 32(11): 2646-2660 (2021) - [c14]Heng Zhang, Lingda Li, Donglin Zhuang, Rui Liu, Shuang Song, Dingwen Tao
An efficient uncertain graph processing framework for heterogeneous architectures. PPoPP 2021: 477-479 - [c13]Anil Gaihre, Da Zheng, Scott Weitze, Lingda Li, Shuaiwen Leon Song, Caiwen Ding, Xiaoye S. Li, Hang Liu:
Dr. Top-k: delegate-centric Top-k on GPUs. SC 2021: 39 - [i5]Santosh Pandey, Zhibin Wang, Sheng Zhong, Chen Tian, Bolong Zheng, Xiaoye S. Li, Lingda Li, Adolfy Hoisie, Caiwen Ding, Dong Li, Hang Liu:
TRUST: Triangle Counting Reloaded on GPUs. CoRR abs/2103.08053 (2021) - [i4]Lingda Li, Santosh Pandey, Thomas Flynn, Hang Liu, Noel Wheeler, Adolfy Hoisie:
SimNet: Computer Architecture Simulation using Machine Learning. CoRR abs/2105.05821 (2021) - [i3]Anil Gaihre, Da Zheng, Scott Weitze, Lingda Li, Shuaiwen Leon Song, Caiwen Ding, Xiaoye S. Li, Hang Liu:
Dr. Top-k: Delegate-Centric Top-k on GPUs. CoRR abs/2109.08219 (2021) - 2020
- [c12]Santosh Pandey
C-SAW: a framework for graph sampling and random walk on GPUs. SC 2020: 56 - [i2]Santosh Pandey, Lingda Li, Adolfy Hoisie, Xiaoye S. Li, Hang Liu:
C-SAW: A Framework for Graph Sampling and Random Walk on GPUs. CoRR abs/2009.09103 (2020)
2010 – 2019
- 2019
- [c11]Lingda Li
Compiler assisted hybrid implicit and explicit GPU memory management under unified address space. SC 2019: 51:1-51:16 - 2018
- [c10]Lingda Li
Manage OpenMP GPU Data Environment Under Unified Address Space. IWOMP 2018: 69-81 - 2017
- [j2]Lingda Li
A Simple Yet Effective Balanced Edge Partition Model for Parallel Computing. Proc. ACM Meas. Anal. Comput. Syst. 1(1): 14:1-14:21 (2017) - [c9]Alok Mishra, Lingda Li
Benchmarking and Evaluating Unified Memory for OpenMP GPU Offloading. LLVM-HPC@SC 2017: 6:1-6:10 - [c8]Lingda Li, Robel Geda, Ari B. Hayes, Yan-Hao Chen, Pranav Chaudhari, Eddy Z. Zhang, Mario Szegedy:
A Simple Yet Effective Balanced Edge Partition Model for Parallel Computing. SIGMETRICS (Abstracts) 2017: 6 - [c7]Ari B. Hayes, Lingda Li, Mohammad Hedayati, Jia-Huan He, Eddy Z. Zhang, Kai Shen:
GPU Taint Tracking. USENIX ATC 2017: 209-220 - 2016
- [c6]Lingda Li
Tag-Split Cache for Efficient GPGPU Cache Utilization. ICS 2016: 43:1-43:12 - [c5]Ari B. Hayes, Lingda Li, Daniel G. Chavarría-Miranda, Shuaiwen Leon Song, Eddy Z. Zhang:
Orion: A Framework for GPU Occupancy Tuning. Middleware 2016: 18 - [i1]Lingda Li, Ari B. Hayes, Stephen A. Hackler, Eddy Z. Zhang, Mario Szegedy, Shuaiwen Leon Song:
A Graph-based Model for GPU Caching Problems. CoRR abs/1605.02043 (2016) - 2014
- [j1]Lingda Li, Junlin Lu, Xu Cheng:
Retention Benefit Based Intelligent Cache Replacement. J. Comput. Sci. Technol. 29(6): 947-961 (2014) - [c4]Lingda Li
Block value based insertion policy for high performance last-level caches. ICS 2014: 63-72 - 2013
- [c3]Xianglei Dang, Xiaoyin Wang, Dong Tong, Zichao Xie, Lingda Li, Keyi Wang:
An adaptive filtering mechanism for energy efficient data prefetching. ASP-DAC 2013: 332-337 - 2012
- [c2]Lingda Li
Optimal bypass monitor for high performance last-level caches. PACT 2012: 315-324 - [c1]Lingda Li, Dong Tong, Zichao Xie, Junlin Lu, Xu Cheng:
Improving inclusive cache performance with two-level eviction priority. ICCD 2012: 387-392
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