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Jiannan Tian
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cuSZ: An efficient gpu-based error-bounded lossy compression framework for scientific data
J Tian, S Di, K Zhao, C Rivera, MH Fulp, R Underwood, S Jin, X Liang, ...
Proceedings of the ACM International Conference on Parallel Architectures …, 2020
702020
DeepSZ: A novel framework to compress deep neural networks by using error-bounded lossy compression
S Jin, S Di, X Liang, J Tian, D Tao, F Cappello
Proceedings of the 28th international symposium on high-performance parallel …, 2019
652019
SZ3: A modular framework for composing prediction-based error-bounded lossy compressors
X Liang, K Zhao, S Di, S Li, R Underwood, AM Gok, J Tian, J Deng, ...
IEEE Transactions on Big Data 9 (2), 485-498, 2022
592022
Understanding GPU-based lossy compression for extreme-scale cosmological simulations
S Jin, P Grosset, CM Biwer, J Pulido, J Tian, D Tao, J Ahrens
2020 IEEE International Parallel and Distributed Processing Symposium (IPDPS …, 2020
382020
Revisiting huffman coding: Toward extreme performance on modern gpu architectures
J Tian, C Rivera, S Di, J Chen, X Liang, D Tao, F Cappello
2021 IEEE International Parallel and Distributed Processing Symposium (IPDPS …, 2021
262021
waveSZ: A hardware-algorithm co-design of efficient lossy compression for scientific data
J Tian, S Di, C Zhang, X Liang, S Jin, D Cheng, D Tao, F Cappello
Proceedings of the 25th ACM SIGPLAN Symposium on Principles and Practice of …, 2020
252020
Optimizing error-bounded lossy compression for scientific data on gpus
J Tian, S Di, X Yu, C Rivera, K Zhao, S Jin, Y Feng, X Liang, D Tao, ...
2021 IEEE International Conference on Cluster Computing (CLUSTER), 283-293, 2021
222021
Improving prediction-based lossy compression dramatically via ratio-quality modeling
S Jin, S Di, J Tian, S Byna, D Tao, F Cappello
2022 IEEE 38th International Conference on Data Engineering (ICDE), 2494-2507, 2022
202022
H-gcn: A graph convolutional network accelerator on versal acap architecture
C Zhang, T Geng, A Guo, J Tian, M Herbordt, A Li, D Tao
2022 32nd International Conference on Field-Programmable Logic and …, 2022
192022
Clicktrain: Efficient and accurate end-to-end deep learning training via fine-grained architecture-preserving pruning
C Zhang, G Yuan, W Niu, J Tian, S Jin, D Zhuang, Z Jiang, Y Wang, B Ren, ...
Proceedings of the ACM international conference on supercomputing, 266-278, 2021
172021
Ultrafast error-bounded lossy compression for scientific datasets
X Yu, S Di, K Zhao, J Tian, D Tao, X Liang, F Cappello
Proceedings of the 31st International Symposium on High-Performance Parallel …, 2022
132022
Adaptive configuration of in situ lossy compression for cosmology simulations via fine-grained rate-quality modeling
S Jin, J Pulido, P Grosset, J Tian, D Tao, J Ahrens
Proceedings of the 30th International Symposium on High-Performance Parallel …, 2021
112021
Elastic executor provisioning for iterative workloads on apache spark
D Yang, W Rang, D Cheng, Y Wang, J Tian, D Tao
2019 IEEE International Conference on Big Data (Big Data), 413-422, 2019
82019
Optimizing huffman decoding for error-bounded lossy compression on gpus
C Rivera, S Di, J Tian, X Yu, D Tao, F Cappello
2022 IEEE International Parallel and Distributed Processing Symposium (IPDPS …, 2022
72022
CEAZ: accelerating parallel i/o via hardware-algorithm co-designed adaptive lossy compression
C Zhang, S Jin, T Geng, J Tian, A Li, D Tao
Proceedings of the 36th ACM International Conference on Supercomputing, 1-13, 2022
62022
AMRIC: A novel in situ lossy compression framework for efficient i/o in adaptive mesh refinement applications
D Wang, J Pulido, P Grosset, J Tian, S Jin, H Tang, J Sexton, S Di, K Zhao, ...
Proceedings of the International Conference for High Performance Computing …, 2023
52023
Fz-gpu: A fast and high-ratio lossy compressor for scientific computing applications on gpus
B Zhang, J Tian, S Di, X Yu, Y Feng, X Liang, D Tao, F Cappello
Proceedings of the 32nd International Symposium on High-Performance Parallel …, 2023
52023
Toward quantity-of-interest preserving lossy compression for scientific data
P Jiao, S Di, H Guo, K Zhao, J Tian, D Tao, X Liang, F Cappello
Proceedings of the VLDB Endowment 16 (4), 697-710, 2022
52022
Lcfi: A fault injection tool for studying lossy compression error propagation in hpc programs
B Shan, A Shamji, J Tian, G Li, D Tao
2020 IEEE International Conference on Big Data (Big Data), 2708-2715, 2020
52020
TAC: Optimizing error-bounded lossy compression for three-dimensional adaptive mesh refinement simulations
D Wang, J Pulido, P Grosset, S Jin, J Tian, J Ahrens, D Tao
Proceedings of the 31st International Symposium on High-Performance Parallel …, 2022
42022
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