| High Performance Model Based Image Reconstruction X Wang, A Sabne, SJ Kisner, A Raghunathan, CA Bouman, SP Midkiff 21st ACM SIGPLAN Symposium on Principles and Practice of Parallel …, 2016 | 69 | 2016 |
| Model-based iterative CT image reconstruction on GPUs A Sabne, X Wang, SJ Kisner, CA Bouman, A Raghunathan, SP Midkiff ACM SIGPLAN Notices 52 (8), 207-220, 2017 | 45 | 2017 |
| Massively parallel 3d image reconstruction X Wang, A Sabne, P Sakdhnagool, SJ Kisner, CA Bouman, SP Midkiff Proceedings of the International Conference for High Performance Computing …, 2017 | 39 | 2017 |
| Distributed iterative CT reconstruction using multi-agent consensus equilibrium V Sridhar, X Wang, GT Buzzard, CA Bouman IEEE Transactions on Computational Imaging 6, 1153-1166, 2020 | 23 | 2020 |
| Fast voxel line update for time-space image reconstruction X Wang, KA Mohan, SJ Kisner, C Bouman, S Midkiff 2016 IEEE International Conference on Acoustics, Speech and Signal …, 2016 | 16 | 2016 |
| Consensus Equilibrium Framework for Super-Resolution and Extreme-Scale CT Reconstruction X Wang, V Sridhar, Z Ronaghi, R Thomas, J Deslippe, D Parkinson, ... Proceedings of the International Conference for High Performance Computing …, 2019 | 14 | 2019 |
| Automatic generation of high-performance convolution kernels on arm cpus for deep learning J Meng, C Zhuang, P Chen, M Wahib, B Schmidt, X Wang, H Lan, D Wu, ... IEEE Transactions on Parallel and Distributed Systems 33 (11), 2885-2899, 2022 | 10 | 2022 |
| Scalable FBP decomposition for cone-beam CT reconstruction P Chen, M Wahib, X Wang, T Hirofuchi, H Ogawa, A Biguri, R Boardman, ... Proceedings of the International Conference for High Performance Computing …, 2021 | 6 | 2021 |
| Physics-based iterative reconstruction for dual source and flying focal spot computed tomography X Wang, RD MacDougall, C Peng, CA Bouman, SK Warfield Medical Physics, 2021 | 5* | 2021 |
| PERKS: a Locality-Optimized Execution Model for Iterative Memory-bound GPU Applications L Zhang, M Wahib, P Chen, J Meng, X Wang, T Endo, S Matsuoka Proceedings of the 37th International Conference on Supercomputing, 167-179, 2023 | 4 | 2023 |
| Evolutionary Architecture Search for Generative Adversarial Networks Based On Weight Sharing Y Xue, W Tong, F Neri, P Chen, T Luo, L Zhen, X Wang IEEE Transactions on Evolutionary Computation, 2023 | 3 | 2023 |
| Performance portable back-projection algorithms on cpus: Agnostic data locality and vectorization optimizations P Chen, M Wahib, X Wang, S Takizawa, T Hirofuchi, H Ogawa, ... Proceedings of the ACM International Conference on Supercomputing, 316-328, 2021 | 3 | 2021 |
| High Performance Tomography X Wang Purdue University, 2017 | 3 | 2017 |
| Optimizing Distributed Training on Frontier for Large Language Models S Dash, IR Lyngaas, J Yin, X Wang, R Egele, JA Ellis, M Maiterth, G Cong, ... ISC High Performance 2024 Research Paper Proceedings (39th International …, 2024 | 2 | 2024 |
| Revisiting Temporal Blocking Stencil Optimizations L Zhang, M Wahib, P Chen, J Meng, X Wang, T Endo, S Matsuoka Proceedings of the 37th International Conference on Supercomputing, 251-263, 2023 | 2 | 2023 |
| Image Gradient Decomposition for Parallel and Memory-Efficient Ptychographic Reconstruction X Wang, A Tsaris, D Mukherjee, M Wahib, P Chen, M Oxley, ... Proceedings of the International Conference for High Performance Computing …, 2022 | 2 | 2022 |
| MedNAS: Multi-Scale Training-Free Neural Architecture Search for Medical Image Analysis Y Wang, L Zhen, J Zhang, M Li, L Zhang, Z Wang, Y Feng, Y Xue, X Wang, ... IEEE Transactions on Evolutionary Computation, 2024 | 1 | 2024 |
| Ultra-Long Sequence Distributed Transformer X Wang, I Lyngaas, A Tsaris, P Chen, S Dash, MC Shekar, T Luo, ... arXiv preprint arXiv:2311.02382, 2023 | 1 | 2023 |
| DeepSpeed4Science Initiative: Enabling Large-Scale Scientific Discovery through Sophisticated AI System Technologies SL Song, B Kruft, M Zhang, C Li, S Chen, C Zhang, M Tanaka, X Wu, ... arXiv preprint arXiv:2310.04610, 2023 | 1 | 2023 |
| Physics guided machine learning for multi-material decomposition of tissues from dual-energy CT scans of simulated breast models with calcifications M Gopalakrishnan Meena, A Ziabari, S Venkatakrishnan, I Lyngaas, ... Oak Ridge National Lab.(ORNL), Oak Ridge, TN (United States) 35 (11), 2023 | 1 | 2023 |
Charles A BoumanProfessor of Electrical and Computer Engineering, Purdue University在 purdue.edu 的电子邮件经过验证
