Cheng Li

According to our database, Cheng Li authored at least 51 papers between 2010 and 2024.

Collaborative distances:

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

2024

Tessel: Boosting Distributed Execution of Large DNN Models via Flexible Schedule Search.

Zhiqi Lin, Youshan Miao, Guanbin Xu, Cheng Li, Olli Saarikivi, Saeed Maleki, Fan Yang

Proceedings of the IEEE International Symposium on High-Performance Computer Architecture, 2024

Noctua: Towards Automated and Practical Fine-grained Consistency Analysis.

Kai Ma, Cheng Li, Enzuo Zhu, Ruichuan Chen, Feng Yan, Kang Chen

Proceedings of the Nineteenth European Conference on Computer Systems, 2024

Exploring Post-training Quantization in LLMs from Comprehensive Study to Low Rank Compensation.

Zhewei Yao, Xiaoxia Wu, Cheng Li, Stephen Youn, Yuxiong He

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

DeepSpeed Data Efficiency: Improving Deep Learning Model Quality and Training Efficiency via Efficient Data Sampling and Routing.

Conglong Li, Zhewei Yao, Xiaoxia Wu, Minjia Zhang, Connor Holmes, Cheng Li, Yuxiong He

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

A Comprehensive Study on Post-Training Quantization for Large Language Models.

Zhewei Yao, Cheng Li, Xiaoxia Wu, Stephen Youn, Yuxiong He

CoRR, 2023

Understanding INT4 Quantization for Transformer Models: Latency Speedup, Composability, and Failure Cases.

Xiaoxia Wu, Cheng Li, Reza Yazdani Aminabadi, Zhewei Yao, Yuxiong He

CoRR, 2023

SuperScaler: Supporting Flexible DNN Parallelization via a Unified Abstraction.

Zhiqi Lin, Youshan Miao, Guodong Liu, Xiaoxiang Shi, Quanlu Zhang, Fan Yang, Saeed Maleki, Yi Zhu, Xu Cao, Cheng Li, Mao Yang, Lintao Zhang, Lidong Zhou

CoRR, 2023

SPFresh: Incremental In-Place Update for Billion-Scale Vector Search.

Yuming Xu, Hengyu Liang, Jin Li, Shuotao Xu, Qi Chen, Qianxi Zhang, Cheng Li, Ziyue Yang, Fan Yang, Yuqing Yang, Peng Cheng, Mao Yang

Proceedings of the 29th Symposium on Operating Systems Principles, 2023

gSampler: General and Efficient GPU-based Graph Sampling for Graph Learning.

Ping Gong, Renjie Liu, Zunyao Mao, Zhenkun Cai, Xiao Yan, Cheng Li, Minjie Wang, Zhuozhao Li

Proceedings of the 29th Symposium on Operating Systems Principles, 2023

MUSE: A Programmable Metadata Load Estimation Interface for Ceph File System.

Xinyang Shao, Cheng Li, Yinlong Xu

Proceedings of the 29th IEEE International Conference on Parallel and Distributed Systems, 2023

Understanding Int4 Quantization for Language Models: Latency Speedup, Composability, and Failure Cases.

Xiaoxia Wu, Cheng Li, Reza Yazdani Aminabadi, Zhewei Yao, Yuxiong He

Proceedings of the International Conference on Machine Learning, 2023

DySR: Adaptive Super-Resolution via Algorithm and System Co-design.

Syed Zawad, Cheng Li, Zhewei Yao, Elton Zheng, Yuxiong He, Feng Yan

Proceedings of the Eleventh International Conference on Learning Representations, 2023

MPress: Democratizing Billion-Scale Model Training on Multi-GPU Servers via Memory-Saving Inter-Operator Parallelism.

Quan Zhou, Haiquan Wang, Xiaoyan Yu, Cheng Li, Youhui Bai, Feng Yan, Yinlong Xu

Proceedings of the IEEE International Symposium on High-Performance Computer Architecture, 2023

Revitalizing the Forgotten On-Chip DMA to Expedite Data Movement in NVM-based Storage Systems.

Jingbo Su, Jiahao Li, Luofan Chen, Cheng Li, Kai Zhang, Liang Yang, Sam H. Noh, Yinlong Xu

Proceedings of the 21st USENIX Conference on File and Storage Technologies, 2023

CFS: Scaling Metadata Service for Distributed File System via Pruned Scope of Critical Sections.

Yiduo Wang, Yufei Wu, Cheng Li, Pengfei Zheng, Biao Cao, Yan Sun, Fei Zhou, Yinlong Xu, Yao Wang, Guangjun Xie

Proceedings of the Eighteenth European Conference on Computer Systems, 2023

2022

vPipe: A Virtualized Acceleration System for Achieving Efficient and Scalable Pipeline Parallel DNN Training.

Shixiong Zhao, Fanxin Li, Xusheng Chen, Xiuxian Guan, Jianyu Jiang, Dong Huang, Yuhao Qing, Sen Wang, Peng Wang, Gong Zhang, Cheng Li, Ping Luo, Heming Cui

IEEE Trans. Parallel Distributed Syst., 2022

SelectiveEC: Towards Balanced Recovery Load on Erasure-Coded Storage Systems.

Liangliang Xu, Min Lyu, Qiliang Li, Lingjiang Xie, Cheng Li, Yinlong Xu

IEEE Trans. Parallel Distributed Syst., 2022

A Data Layout and Fast Failure Recovery Scheme for Distributed Storage Systems With Mixed Erasure Codes.

Liangliang Xu, Min Lyu, Zhipeng Li, Cheng Li, Yinlong Xu

IEEE Trans. Computers, 2022

Random-LTD: Random and Layerwise Token Dropping Brings Efficient Training for Large-scale Transformers.

Zhewei Yao, Xiaoxia Wu, Conglong Li, Connor Holmes, Minjia Zhang, Cheng Li, Yuxiong He

CoRR, 2022

BiFeat: Supercharge GNN Training via Graph Feature Quantization.

Yuxin Ma, Ping Gong, Jun Yi, Zhewei Yao, Minjie Wang, Cheng Li, Yuxiong He, Feng Yan

CoRR, 2022

DeepSpeed- Inference: Enabling Efficient Inference of Transformer Models at Unprecedented Scale.

Reza Yazdani Aminabadi, Samyam Rajbhandari, Ammar Ahmad Awan, Cheng Li, Du Li, Elton Zheng, Olatunji Ruwase, Shaden Smith, Minjia Zhang, Jeff Rasley, Yuxiong He

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

Repair-Optimal Data Placement for Locally Repairable Codes with Optimal Minimum Hamming Distance.

Shuang Ma, Si Wu, Cheng Li, Yinlong Xu

Proceedings of the 51st International Conference on Parallel Processing, 2022

2021

Efficient Data Loader for Fast Sampling-Based GNN Training on Large Graphs.

Youhui Bai, Cheng Li, Zhiqi Lin, Yufei Wu, Youshan Miao, Yunxin Liu, Yinlong Xu

IEEE Trans. Parallel Distributed Syst., 2021

Leveraging NVMe SSDs for Building a Fast, Cost-effective, LSM-tree-based KV Store.

Cheng Li, Hao Chen, Chaoyi Ruan, Xiaosong Ma, Yinlong Xu

ACM Trans. Storage, 2021

MTFC: A Multi-GPU Training Framework for Cube-CNN-Based Hyperspectral Image Classification.

Ye Lu, Kunpeng Xie, Guanbin Xu, Han Dong, Cheng Li, Tao Li

IEEE Trans. Emerg. Top. Comput., 2021

AutoGR: Automated Geo-Replication with Fast System Performance and Preserved Application Semantics.

Jiawei Wang, Cheng Li, Kai Ma, Jingze Huo, Feng Yan, Xinyu Feng, Yinlong Xu

Proc. VLDB Endow., 2021

ECR: Eviction-cost-aware cache management policy for page-level flash-based SSDs.

Hao Chen, Yubiao Pan, Cheng Li, Yinlong Xu

Concurr. Comput. Pract. Exp., 2021

Gradient Compression Supercharged High-Performance Data Parallel DNN Training.

Youhui Bai, Cheng Li, Quan Zhou, Jun Yi, Ping Gong, Feng Yan, Ruichuan Chen, Yinlong Xu

Proceedings of the SOSP '21: ACM SIGOPS 28th Symposium on Operating Systems Principles, 2021

Lunule: an agile and judicious metadata load balancer for CephFS.

Yiduo Wang, Cheng Li, Xinyang Shao, Youxu Chen, Feng Yan, Yinlong Xu

Proceedings of the International Conference for High Performance Computing, 2021

SpanDB: A Fast, Cost-Effective LSM-tree Based KV Store on Hybrid Storage.

Hao Chen, Chaoyi Ruan, Cheng Li, Xiaosong Ma, Yinlong Xu

Proceedings of the 19th USENIX Conference on File and Storage Technologies, 2021

Lessons learned from migrating complex stateful applications onto serverless platforms.

Zewen Jin, Yiming Zhu, Jiaan Zhu, Dongbo Yu, Cheng Li, Ruichuan Chen, Istemi Ekin Akkus, Yinlong Xu

Proceedings of the APSys '21: 12th ACM SIGOPS Asia-Pacific Workshop on Systems, 2021

2020

Not All Explorations Are Equal: Harnessing Heterogeneous Profiling Cost for Efficient MLaaS Training.

Jun Yi, Chengliang Zhang, Wei Wang, Cheng Li, Feng Yan

Proceedings of the 2020 IEEE International Parallel and Distributed Processing Symposium (IPDPS), 2020

PDL: A Data Layout towards Fast Failure Recovery for Erasure-coded Distributed Storage Systems.

Liangliang Xu, Min Lv, Zhipeng Li, Cheng Li, Yinlong Xu

Proceedings of the 39th IEEE Conference on Computer Communications, 2020

PaGraph: Scaling GNN training on large graphs via computation-aware caching.

Zhiqi Lin, Cheng Li, Youshan Miao, Yunxin Liu, Yinlong Xu

Proceedings of the SoCC '20: ACM Symposium on Cloud Computing, 2020

2019

BiloKey : A Scalable Bi-Index Locality-Aware In-Memory Key-Value Store.

Wenlong Ma, Yuqing Zhu, Cheng Li, Mengying Guo, Yungang Bao

IEEE Trans. Parallel Distributed Syst., 2019

Explicit Data Correlations-Directed Metadata Prefetching Method in Distributed File Systems.

Youxu Chen, Cheng Li, Min Lv, Xinyang Shao, Yongkun Li, Yinlong Xu

IEEE Trans. Parallel Distributed Syst., 2019

ElasticBF: Elastic Bloom Filter with Hotness Awareness for Boosting Read Performance in Large Key-Value Stores.

Yongkun Li, Chengjin Tian, Fan Guo, Cheng Li, Yinlong Xu

Proceedings of the 2019 USENIX Annual Technical Conference, 2019

HCFTL: A Locality-Aware Page-Level Flash Translation Layer.

Hao Chen, Cheng Li, Yubiao Pan, Min Lyu, Yongkun Li, Yinlong Xu

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2019

Bayesian Optimisation for Objective Functions with Varying Smoothness.

A. V. Arun Kumar, Santu Rana, Cheng Li, Sunil Gupta, Alistair Shilton, Svetha Venkatesh

Proceedings of the AI 2019: Advances in Artificial Intelligence, 2019

2018

Fine-grained consistency for geo-replicated systems.

Cheng Li, Nuno M. Preguiça, Rodrigo Rodrigues

Proceedings of the 2018 USENIX Annual Technical Conference, 2018

LCR: Load-Aware Cache Replacement Algorithm for Flash-Based SSDs.

Caiyin Liu, Min Lv, Yubiao Pan, Hao Chen, Yongkun Li, Cheng Li, Yinlong Xu

Proceedings of the 2018 IEEE International Conference on Networking, 2018

A Flexible Method for Time-of-Flight Camera Calibration Using Random Forest.

Chi Xu, Cheng Li

Proceedings of the Smart Multimedia - First International Conference, 2018

ElasticBF: Fine-grained and Elastic Bloom Filter Towards Efficient Read for LSM-tree-based KV Stores.

Yueming Zhang, Yongkun Li, Fan Guo, Cheng Li, Yinlong Xu

Proceedings of the 10th USENIX Workshop on Hot Topics in Storage and File Systems, 2018

2016

Building fast and consistent (geo-)replicated systems: from principles to practice.

Cheng Li

PhD thesis, 2016

Geo-Replication: Fast If Possible, Consistent If Necessary.

Valter Balegas, Cheng Li, Mahsa Najafzadeh, Daniel Porto, Allen Clement, Sérgio Duarte, Carla Ferreira, Johannes Gehrke, João Leitão, Nuno M. Preguiça, Rodrigo Rodrigues, Marc Shapiro, Viktor Vafeiadis

IEEE Data Eng. Bull., 2016

2015

Visigoth fault tolerance.

Daniel Porto, João Leitão, Cheng Li, Allen Clement, Aniket Kate, Flavio Paiva Junqueira, Rodrigo Rodrigues

Proceedings of the Tenth European Conference on Computer Systems, 2015

Minimizing coordination in replicated systems.

Cheng Li, João Leitão, Allen Clement, Nuno M. Preguiça, Rodrigo Rodrigues

Proceedings of the First Workshop on Principles and Practice of Consistency for Distributed Data, 2015

2014

Automating the Choice of Consistency Levels in Replicated Systems.

Cheng Li, João Leitão, Allen Clement, Nuno M. Preguiça, Rodrigo Rodrigues, Viktor Vafeiadis

Proceedings of the 2014 USENIX Annual Technical Conference, 2014

2012

Making Geo-Replicated Systems Fast as Possible, Consistent when Necessary.

Cheng Li, Daniel Porto, Allen Clement, Johannes Gehrke, Nuno M. Preguiça, Rodrigo Rodrigues

Proceedings of the 10th USENIX Symposium on Operating Systems Design and Implementation, 2012

2011

Finding complex concurrency bugs in large multi-threaded applications.

Pedro Fonseca, Cheng Li, Rodrigo Rodrigues

Proceedings of the European Conference on Computer Systems, 2011

2010

A study of the internal and external effects of concurrency bugs.

Pedro Fonseca, Cheng Li, Vishal Singhal, Rodrigo Rodrigues

Proceedings of the 2010 IEEE/IFIP International Conference on Dependable Systems and Networks, 2010