Jinyang Liu

According to our database, Jinyang Liu authored at least 35 papers between 2018 and 2024.

Collaborative distances:

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

2024

High-performance Effective Scientific Error-bounded Lossy Compression with Auto-tuned Multi-component Interpolation.

Jinyang Liu, Sheng Di, Kai Zhao, Xin Liang, Sian Jin, Zizhe Jian, Jiajun Huang, Shixun Wu, Zizhong Chen, Franck Cappello

Proc. ACM Manag. Data, February, 2024

Task-Adaptive Scientific Error-Bounded Lossy Compression

Jinyang Liu

PhD thesis, 2024

LCP: Enhancing Scientific Data Management with Lossy Compression for Particles.

Longtao Zhang, Ruoyu Li, Congrong Ren, Sheng Di, Jinyang Liu, Jiajun Huang, Robert Underwood, Pascal Grosset, Dingwen Tao, Xin Liang, Hanqi Guo, Franck Cappello, Kai Zhao

CoRR, 2024

TurboFFT: A High-Performance Fast Fourier Transform with Fault Tolerance on GPU.

Shixun Wu, Yujia Zhai, Jinyang Liu, Jiajun Huang, Zizhe Jian, Huangliang Dai, Sheng Di, Zizhong Chen, Franck Cappello

CoRR, 2024

A Survey on Error-Bounded Lossy Compression for Scientific Datasets.

Sheng Di, Jinyang Liu, Kai Zhao, Xin Liang, Robert Underwood, Zhaorui Zhang, Milan Shah, Yafan Huang, Jiajun Huang, Xiaodong Yu, Congrong Ren, Hanqi Guo, Grant Wilkins, Dingwen Tao, Jiannan Tian, Sian Jin, Zizhe Jian, Daoce Wang, Md Hasanur Rahman, Boyuan Zhang, Jon C. Calhoun, Guanpeng Li, Kazutomo Yoshii, Khalid Ayedh Alharthi, Franck Cappello

CoRR, 2024

POSTER: Optimizing Collective Communications with Error-bounded Lossy Compression for GPU Clusters.

Jiajun Huang, Sheng Di, Xiaodong Yu, Yujia Zhai, Jinyang Liu, Yafan Huang, Ken Raffenetti, Hui Zhou, Kai Zhao, Zizhong Chen, Franck Cappello, Yanfei Guo, Rajeev Thakur

Proceedings of the 29th ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming, 2024

CliZ: Optimizing Lossy Compression for Climate Datasets with Adaptive Fine-tuned Data Prediction.

Zizhe Jian, Sheng Di, Jinyang Liu, Kai Zhao, Xin Liang, Haiying Xu, Robert Underwood, Shixun Wu, Jiajun Huang, Zizhong Chen, Franck Cappello

Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2024

An Optimized Error-controlled MPI Collective Framework Integrated with Lossy Compression.

Jiajun Huang, Sheng Di, Xiaodong Yu, Yujia Zhai, Zhaorui Zhang, Jinyang Liu, Xiaoyi Lu, Ken Raffenetti, Hui Zhou, Kai Zhao, Zizhong Chen, Franck Cappello, Yanfei Guo, Rajeev Thakur

Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2024

gZCCL: Compression-Accelerated Collective Communication Framework for GPU Clusters.

Jiajun Huang, Sheng Di, Xiaodong Yu, Yujia Zhai, Jinyang Liu, Yafan Huang, Ken Raffenetti, Hui Zhou, Kai Zhao, Xiaoyi Lu, Zizhong Chen, Franck Cappello, Yanfei Guo, Rajeev Thakur

Proceedings of the 38th ACM International Conference on Supercomputing, 2024

Preserving Topological Feature with Sign-of-Determinant Predicates in Lossy Compression: A Case Study of Vector Field Critical Points.

Mingze Xia, Sheng Di, Franck Cappello, Pu Jiao, Kai Zhao, Jinyang Liu, Xuan Wu, Xin Liang, Hanqi Guo

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

FT K-Means: A High-Performance K-Means on GPU with Fault Tolerance.

Shixun Wu, Yitong Ding, Yujia Zhai, Jinyang Liu, Jiajun Huang, Zizhe Jian, Huangliang Dai, Sheng Di, Bryan M. Wong, Zizhong Chen, Franck Cappello

Proceedings of the IEEE International Conference on Cluster Computing, 2024

2023

FT-BLAS: A Fault Tolerant High Performance BLAS Implementation on x86 CPUs.

Yujia Zhai, Elisabeth Giem, Kai Zhao, Jinyang Liu, Jiajun Huang, Bryan M. Wong, Christian R. Shelton, Zizhong Chen

IEEE Trans. Parallel Distributed Syst., December, 2023

cuSZ-I: High-Fidelity Error-Bounded Lossy Compression for Scientific Data on GPUs.

Jinyang Liu, Jiannan Tian, Shixun Wu, Sheng Di, Boyuan Zhang, Yafan Huang, Kai Zhao, Guanpeng Li, Dingwen Tao, Zizhong Chen, Franck Cappello

CoRR, 2023

SRN-SZ: Deep Leaning-Based Scientific Error-bounded Lossy Compression with Super-resolution Neural Networks.

Jinyang Liu, Sheng Di, Sian Jin, Kai Zhao, Xin Liang, Zizhong Chen, Franck Cappello

CoRR, 2023

gZCCL: Compression-Accelerated Collective Communication Framework for GPU Clusters.

Jiajun Huang, Sheng Di, Xiaodong Yu, Yujia Zhai, Jinyang Liu, Yafan Huang, Ken Raffenetti, Hui Zhou, Kai Zhao, Zizhong Chen, Franck Cappello, Yanfei Guo, Rajeev Thakur

CoRR, 2023

C-Coll: Introducing Error-bounded Lossy Compression into MPI Collectives.

Jiajun Huang, Sheng Di, Xiaodong Yu, Yujia Zhai, Jinyang Liu, Ken Raffenetti, Hui Zhou, Kai Zhao, Zizhong Chen, Franck Cappello, Yanfei Guo, Rajeev Thakur

CoRR, 2023

Anatomy of High-Performance GEMM with Online Fault Tolerance on GPUs.

Shixun Wu, Yujia Zhai, Jinyang Liu, Jiajun Huang, Zizhe Jian, Bryan M. Wong, Zizhong Chen

Proceedings of the 37th International Conference on Supercomputing, 2023

FAZ: A flexible auto-tuned modular error-bounded compression framework for scientific data.

Jinyang Liu, Sheng Di, Kai Zhao, Xin Liang, Zizhong Chen, Franck Cappello

Proceedings of the 37th International Conference on Supercomputing, 2023

Accelerating MPI Collectives with Process-in-Process-based Multi-object Techniques.

Jiajun Huang, Kaiming Ouyang, Yujia Zhai, Jinyang Liu, Min Si, Ken Raffenetti, Hui Zhou, Atsushi Hori, Zizhong Chen, Yanfei Guo, Rajeev Thakur

Proceedings of the 32nd International Symposium on High-Performance Parallel and Distributed Computing, 2023

SECRE: Surrogate-Based Error-Controlled Lossy Compression Ratio Estimation Framework.

Arham Khan, Sheng Di, Kai Zhao, Jinyang Liu, Kyle Chard, Ian T. Foster, Franck Cappello

Proceedings of the 30th IEEE International Conference on High Performance Computing, 2023

Characterization and Detection of Artifacts for Error-Controlled Lossy Compressors.

Pu Jiao, Sheng Di, Jinyang Liu, Xin Liang, Franck Cappello

Proceedings of the 30th IEEE International Conference on High Performance Computing, 2023

An Efficient and Accurate Compression Ratio Estimation Model for SZx.

Arham Khan, Sheng Di, Kai Zhao, Jinyang Liu, Kyle Chard, Ian T. Foster, Franck Cappello

Proceedings of the IEEE International Conference on Cluster Computing, 2023

PiP-MColl: Process-in-Process-based Multi-object MPI Collectives.

Jiajun Huang, Kaiming Ouyang, Yujia Zhai, Jinyang Liu, Min Si, Ken Raffenetti, Hui Zhou, Atsushi Hori, Zizhong Chen, Yanfei Guo, Rajeev Thakur

Proceedings of the IEEE International Conference on Cluster Computing, 2023

KF K-means: A High Performance K-means Implementation using Kernel Fusion.

Kaiming Ouyang, Vincent Tran, Jinyang Liu, Bryan M. Wong, Zizhong Chen

Proceedings of the IEEE International Conference on Big Data, 2023

Scientific Error-bounded Lossy Compression with Super-resolution Neural Networks.

Jinyang Liu, Sheng Di, Sian Jin, Kai Zhao, Xin Liang, Zizhong Chen, Franck Cappello

Proceedings of the IEEE International Conference on Big Data, 2023

Exploring Wavelet Transform Usages for Error-bounded Scientific Data Compression.

Jiajun Huang, Jinyang Liu, Sheng Di, Yujia Zhai, Zizhe Jian, Shixun Wu, Kai Zhao, Zizhong Chen, Yanfei Guo, Franck Cappello

Proceedings of the IEEE International Conference on Big Data, 2023

2022

Dynamic Quality Metric Oriented Error Bounded Lossy Compression for Scientific Datasets.

Jinyang Liu, Sheng Di, Kai Zhao, Xin Liang, Zizhong Chen, Franck Cappello

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

2021

FT-BLAS: a high performance BLAS implementation with online fault tolerance.

Yujia Zhai, Elisabeth Giem, Quan Fan, Kai Zhao, Jinyang Liu, Zizhong Chen

Proceedings of the ICS '21: 2021 International Conference on Supercomputing, 2021

Exploring Autoencoder-based Error-bounded Compression for Scientific Data.

Jinyang Liu, Sheng Di, Kai Zhao, Sian Jin, Dingwen Tao, Xin Liang, Zizhong Chen, Franck Cappello

Proceedings of the IEEE International Conference on Cluster Computing, 2021

Improving Lossy Compression for SZ by Exploring the Best-Fit Lossless Compression Techniques.

Jinyang Liu, Sihuan Li, Sheng Di, Xin Liang, Kai Zhao, Dingwen Tao, Zizhong Chen, Franck Cappello

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020

Normalization of Input-output Shared Embeddings in Text Generation Models.

Jinyang Liu, Yujia Zhai, Zizhong Chen

CoRR, 2020

2019

Deep Learning Based Code Completion Models for Programming Codes.

Shuai Wang, Jinyang Liu, Ye Qiu, Zhiyi Ma, Junfei Liu, Zhonghai Wu

Proceedings of the ISCSIC 2019: 3rd International Symposium on Computer Science and Intelligent Control, 2019

Autoencoder based API Recommendation System for Android Programming.

Jinyang Liu, Ye Qiu, Zhiyi Ma, Zhonghai Wu

Proceedings of the 14th International Conference on Computer Science & Education, 2019

2018

Analysis of the Evolution of the UML Metamodel.

Zhiyi Ma, Huihong He, Jinyang Liu, Xiao He

Proceedings of the 6th International Conference on Model-Driven Engineering and Software Development, 2018

An Approach to Modeling Microservice Solutions.

Zhiyi Ma, Jinyang Liu, Xiao He

Proceedings of the Information Science and Applications 2018, 2018