Projects per year
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Dive into the research topics where Qing Liu is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Projects
- 2 Finished
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Shf:Small: Collaborative Research: Understanding, Modeling, And System Support For Hpc Data Reduction
7/1/18 → 6/30/21
Project: Research project
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Shf:Small: Collaborative Research: Tailoring Memory Systems For Data-Intensive Hpc Applications
8/15/17 → 7/31/20
Project: Research project
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Identifying challenges and opportunities of in-memory computing on large HPC systems
Huang, D., Qin, Z., Liu, Q., Podhorszki, N. & Klasky, S., Jun 2022, In: Journal of Parallel and Distributed Computing. 164, p. 106-122 17 p.Research output: Contribution to journal › Article › peer-review
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Locality-based transfer learning on compression autoencoder for efficient scientific data lossy compression
Wang, N., Liu, T., Wang, J., Liu, Q., Alibhai, S. & He, X., Sep 2022, In: Journal of Network and Computer Applications. 205, 103452.Research output: Contribution to journal › Article › peer-review
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MGARD+: Optimizing Multilevel Methods for Error-Bounded Scientific Data Reduction
Liang, X., Whitney, B., Chen, J., Wan, L., Liu, Q., Tao, D., Kress, J., Pugmire, D., Wolf, M., Podhorszki, N. & Klasky, S., Jul 1 2022, In: IEEE Transactions on Computers. 71, 7, p. 1522-1536 15 p.Research output: Contribution to journal › Article › peer-review
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The Exascale Framework for High Fidelity coupled Simulations (EFFIS): Enabling whole device modeling in fusion science
Suchyta, E., Klasky, S., Podhorszki, N., Wolf, M., Adesoji, A., Chang, C. S., Choi, J., Davis, P. E., Dominski, J., Ethier, S., Foster, I., Germaschewski, K., Geveci, B., Harris, C., Huck, K. A., Liu, Q., Logan, J., Mehta, K., Merlo, G., Moore, S. V., & 9 others, Jan 2022, In: International Journal of High Performance Computing Applications. 36, 1, p. 106-128 23 p.Research output: Contribution to journal › Article › peer-review
Open Access2 Scopus citations -
zMesh: Theories and Methods to Exploring Application Characteristics to Improve Lossy Compression Ratio for Adaptive Mesh Refinement
Luo, H., Wang, J., Liu, Q., Chen, J., Klasky, S. & Podhorszki, N., Dec 1 2022, In: IEEE Transactions on Parallel and Distributed Systems. 33, 12, p. 3702-3717 16 p.Research output: Contribution to journal › Article › peer-review