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 | 80 | 2022 |
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 | 80 | 2020 |
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 | 72 | 2019 |
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 | 44 | 2020 |
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 | 28 | 2020 |
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 | 26 | 2021 |
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 | 25 | 2021 |
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 | 23 | 2022 |
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 | 23 | 2022 |
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 | 22 | 2022 |
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 | 18 | 2021 |
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 | 12 | 2021 |
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 | 11 | 2022 |
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 | 9 | 2023 |
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 | 9 | 2019 |
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 | 8 | 2022 |
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 | 7 | 2022 |
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 | 6 | 2023 |
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 | 6 | 2022 |
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 | 6 | 2020 |