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ORCIDPengcheng Li 0001
Person information
- affiliation: Google Inc., Mountain View, CA, USA
- affiliation: University of Rochester, Department of Computer Science, NY, USA
Other persons with the same name
- Pengcheng Li — disambiguation page
- Pengcheng Li 0002
![[0000-0003-3787-9066]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0003-3787-9066")
— Harbin Engineering University, College of Information and Communication Engineering, China - Pengcheng Li 0003 — Huazhong University of Science and Technology, School of Engineering Sciences, Wuhan, China
- Pengcheng Li 0004 — University of South China, Human Factor Institute, Hengyang, China
- Pengcheng Li 0005 — Hebei University of Science and Technology, College of Electrical Engineering, Shijiazhuang, China (and 1 more)
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2020 – today
- 2022
[c16]Pengcheng Li, Yixin Guo, Yingwei Luo, Xiaolin Wang, Zhenlin Wang, Xu Liu:
Graph Neural Networks Based Memory Inefficiency Detection Using Selective Sampling. SC 2022: 85:1-85:14- 2021
- [c15]Yixin Guo, Pengcheng Li, Yingwei Luo, Xiaolin Wang, Zhenlin Wang:
GRAPHSPY: Fused Program Semantic Embedding through Graph Neural Networks for Memory Efficiency. DAC 2021: 1045-1050 - [c14]Dong Chen, Chen Ding, Fangzhou Liu, Benjamin Reber, Wesley Smith, Pengcheng Li:
Uniform lease vs. LRU cache: analysis and evaluation. ISMM 2021: 15-27
2010 – 2019
- 2019
- [c13]Pengcheng Li, Colin Pronovost, William Wilson, Benjamin Tait, Jie Zhou, Chen Ding, John Criswell:
Beating OPT with Statistical Clairvoyance and Variable Size Caching. ASPLOS 2019: 243-256 - [c12]Pengcheng Li, Hao Luo, Chen Ding:
Timescale functions for parallel memory allocation. ISMM 2019: 64-78 - 2018
- [c11]Hao Luo, Guoyang Chen, Fangzhou Liu, Pengcheng Li, Chen Ding, Xipeng Shen:
Footprint modeling of cache associativity and granularity. MEMSYS 2018: 232-242 - 2017
- [j1]Pengcheng Li, Xiaoyu Hu, Dong Chen, Jacob Brock, Hao Luo, Eddy Z. Zhang, Chen Ding:
LD: Low-Overhead GPU Race Detection Without Access Monitoring. ACM Trans. Archit. Code Optim. 14(1): 9:1-9:25 (2017) - [c10]Pengcheng Li, Dhruva R. Chakrabarti, Chen Ding, Liang Yuan:
Adaptive Software Caching for Efficient NVRAM Data Persistence. IPDPS 2017: 112-122 - [c9]Hao Luo, Pengcheng Li, Chen Ding:
Thread Data Sharing in Cache: Theory and Measurement. PPoPP 2017: 103-115 - 2016
- [c8]Hao Luo, Jacob Brock, Pengcheng Li, Chen Ding, Chencheng Ye:
Compositional model of coherence and NUMA effects for optimizing thread and data placement. ISPASS 2016: 151-152 - [c7]Pengcheng Li, Hao Luo, Chen Ding:
Rethinking a heap hierarchy as a cache hierarchy: a higher-order theory of memory demand (HOTM). ISMM 2016: 111-121 - [c6]Pengcheng Li, Dhruva R. Chakrabarti:
Adaptive Software Caching for Efficient NVRAM Data Persistence. LCPC 2016: 93-97 - [c5]Hao Luo, Guoyang Chen, Pengcheng Li, Chen Ding, Xipeng Shen:
Data-centric combinatorial optimization of parallel code. PPoPP 2016: 38:1-38:2 - 2015
- [c4]Tongxin Bai, Chen Ding, Pengcheng Li:
Assessing Safe Task Parallelism in SPEC 2006 INT. CCGRID 2015: 402-411 - 2014
- [c3]Pengcheng Li, Hao Luo, Chen Ding, Ziang Hu, Handong Ye:
Code Layout Optimization for Defensiveness and Politeness in Shared Cache. ICPP 2014: 151-161 - [c2]Pengcheng Li, Chen Ding, Hao Luo:
Modeling heap data growth using average liveness. ISMM 2014: 71-82 - 2013
- [c1]Pengcheng Li, Chen Ding:
All-window data liveness. MSPC@PLDI 2013: 9:1-9:2
Coauthor Index
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