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Load-balanced and locality-aware scheduling for data-intensive workloads at extreme scales.

K. Wang, K. Qiao, I. Sadooghi, X. Zhou, T. Li, M. Lang, and I. Raicu. Concurrency and Computation: Practice and Experience, 28 (1): 70-94 (2016)

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M.Sc. Yunxuan Li University of Stuttgart

Yu Li University of Stuttgart

Zheng Li University of Stuttgart

Jie Li University of Stuttgart

Li Zhong University of Stuttgart

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In-memory Blockchain: Toward Efficient and Trustworthy Data Provenance for HPC Systems.A. Al-Mamun, T. Li, M. Sadoghi, and D. Zhao. BigData, page 3808-3813. IEEE, (2018)Noisy2Noisy: Denoise Pre-Stack Seismic Data Without Paired Training Data With Labels.D. Shao, Y. Zhao, Y. Li, and T. Li. IEEE Geosci. Remote. Sens. Lett., (2022)Scalable State Management for Scientific Applications in the Cloud.T. Li, I. Raicu, and L. Ramakrishnan. BigData Congress, page 204-211. IEEE Computer Society, (2014)Toward Efficient and Flexible Metadata Indexing of Big Data Systems.D. Zhao, K. Qiao, Z. Zhou, T. Li, Z. Lu, and X. Xu. IEEE Trans. Big Data, 3 (1): 107-117 (2017)Toward high-performance key-value stores through GPU encoding and locality-aware encoding.D. Zhao, K. Wang, K. Qiao, T. Li, I. Sadooghi, and I. Raicu. J. Parallel Distrib. Comput., (2016)UNITY: Unified Memory and File Space.T. Jones, M. Brim, G. Vallée, B. Mayer, A. Welch, T. Li, M. Lang, L. Ionkov, D. Otstott, A. Gavrilovska and 3 other author(s). ROSS@HPDC, page 6:1-6:8. ACM, (2017)Toward Performant and Energy-efficient Queries in Three-tier Wireless Sensor Networks.J. Wang, A. Al-Mamun, T. Li, L. Jiang, and D. Zhao. ICPP, page 42:1-42:10. ACM, (2018)A novel parallel and distributed magnetotelluric inversion algorithm on multi-threads workloads cluster.L. He, J. Wang, H. Bai, Y. Jiang, and T. Li. Cluster Computing, 22 (4): 1073-1083 (2019)Joint Inversion of Multiphysical Parameters Based on a Combination of Cosine Dot-Gradient and Joint Total Variation Constraints.R. Zhang, T. Li, and C. Liu. IEEE Trans. Geosci. Remote. Sens., (2022)3-D Joint Inversion of Gravity and Magnetic Data Using Data-Space and Truncated Gauss-Newton Methods.R. Zhang, T. Li, C. Liu, X. Huang, K. Jensen, and M. Sommer. IEEE Geosci. Remote. Sens. Lett., (2022)