Jiajun Huang

According to our database, Jiajun Huang authored at least 32 papers between 2023 and 2025.

Collaborative distances:

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

2025

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, Shihui Song, Jon Calhoun, Guanpeng Li, Kazutomo Yoshii, Khalid Ayedh Alharthi, Franck Cappello

ACM Comput. Surv., November, 2025

GPZ: GPU-Accelerated Lossy Compressor for Particle Data.

Ruoyu Li, Yafan Huang, Longtao Zhang, Zhuoxun Yang, Sheng Di, Jiajun Huang, Jinyang Liu, Jiannan Tian, Xin Liang, Guanpeng Li, Hanqi Guo, Franck Cappello, Kai Zhao

CoRR, August, 2025

Boosting Scientific Error-Bounded Lossy Compression through Optimized Synergistic Lossy-Lossless Orchestration.

Shixun Wu, Jinwen Pan, Jinyang Liu, Jiannan Tian, Ziwei Qiu, Jiajun Huang, Kai Zhao, Xin Liang, Sheng Di, Zizhong Chen, Franck Cappello

CoRR, July, 2025

FT-Transformer: Resilient and Reliable Transformer with End-to-End Fault Tolerant Attention.

Huangliang Dai, Shixun Wu, Hairui Zhao, Jiajun Huang, Zizhe Jian, Yue Zhu, Haiyang Hu, Zizhong Chen

CoRR, April, 2025

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

Proc. ACM Manag. Data, February, 2025

ZCCL: Significantly Improving Collective Communication With Error-Bounded Lossy Compression.

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

CoRR, February, 2025

PSZ: Enhancing the SZ Scientific Lossy Compressor With Progressive Data Retrieval.

Zhuoxun Yang, Sheng Di, Longtao Zhang, Ruoyu Li, Ximiao Li, Jiajun Huang, Jinyang Liu, Franck Cappello, Kai Zhao

CoRR, February, 2025

TurboFFT: Co-Designed High-Performance and Fault-Tolerant Fast Fourier Transform on GPUs.

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

Proceedings of the 30th ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming, 2025

Scaling Large-scale GNN Training to Thousands of Processors on CPU-based Supercomputers.

Chen Zhuang, Lingqi Zhang, Du Wu, Peng Chen, Jiajun Huang, Xin Liu, Rio Yokota, Nikoli Dryden, Toshio Endo, Satoshi Matsuoka, Mohamed Wahib

Proceedings of the 39th ACM International Conference on Supercomputing, 2025

ghZCCL: Advancing GPU-aware Collective Communications with Homomorphic Compression.

Jiajun Huang, Sheng Di, Yafan Huang, Zizhong Chen, Franck Cappello, Yanfei Guo, Rajeev Thakur

Proceedings of the 39th ACM International Conference on Supercomputing, 2025

IPComp: Interpolation Based Progressive Lossy Compression for Scientific Applications.

Zhuoxun Yang, Sheng Di, Longtao Zhang, Ruoyu Li, Ximiao Li, Jiajun Huang, Jinyang Liu, Franck Cappello, Kai Zhao

Proceedings of the 34th International Symposium on High-Performance Parallel and Distributed Computing, 2025

Can Tensor Cores Benefit Memory-Bound Kernels? (NO!).

Lingqi Zhang, Jiajun Huang, Sheng Di, Satoshi Matsuoka, Mohamed Wahib

Proceedings of the 17th Workshop on General Purpose Processing Using GPU, 2025

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

HoSZp: An Efficient Homomorphic Error-bounded Lossy Compressor for Scientific Data.

Tripti Agarwal, Sheng Di, Jiajun Huang, Yafan Huang, Ganesh Gopalakrishnan, Robert Underwood, Kai Zhao, Xin Liang, Guanpeng Li, Franck Cappello

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

hZCCL: Accelerating Collective Communication with Co-Designed Homomorphic Compression.

Jiajun Huang, Sheng Di, Xiaodong Yu, Yujia Zhai, Jinyang Liu, Zizhe Jian, Xin Liang, Kai Zhao, Xiaoyi Lu, Zizhong Chen, Franck Cappello, Yanfei Guo, Rajeev Thakur

Proceedings of the International Conference for High Performance Computing, 2024

SZOps: Scalar Operations for Error-bounded Lossy Compressor for Scientific Data.

Tripti Agarwal, Sheng Di, Jiajun Huang, Yafan Huang, Ganesh Gopalakrishnan, Robert Underwood, Kai Zhao, Xin Liang, Guanpeng Li, Franck Cappello

Proceedings of the SC24-W: Workshops of the International Conference for High Performance Computing, 2024

cuSZ-i: High-Ratio Scientific Lossy Compression on GPUs with Optimized Multi-Level Interpolation.

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

Proceedings of the International Conference for High Performance Computing, 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

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

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

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

Shixun Wu, Yujia Zhai, Jiajun Huang, Zizhe Jian, Zizhong Chen

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

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

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