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Dimension reduction and visualization of large high-dimensional data via interpolation., , , and . HPDC, page 203-214. ACM, (2010)Hybrid cloud and cluster computing paradigms for life science applications., , , , , , , , , and 2 other author(s). BMC Bioinform., 11 (S-12): S3 (2010)Active workflow system for near real-time extreme-scale science., , , , , , , and . PPAA@PPoPP, page 53-62. ACM, (2014)Sequence Length Scaling in Vision Transformers for Scientific Images on Frontier., , , , , , , , , and 2 other author(s). CoRR, (2024)Scalable Training of Graph Foundation Models for Atomistic Materials Modeling: A Case Study with HydraGNN., , , , , , , , , and 1 other author(s). CoRR, (2024)Coupling Exascale Multiphysics Applications: Methods and Lessons Learned., , , , , , , , , and 27 other author(s). eScience, page 442-452. IEEE Computer Society, (2018)TGE: Machine Learning Based Task Graph Embedding for Large-Scale Topology Mapping., , , , , , , , , and 3 other author(s). CLUSTER, page 587-591. IEEE Computer Society, (2017)SALSA Project: Parallel Data Mining of GIS, Web, Medical, Physics, Chemical, and Biology Data., , , , , and . eScience, page 335-336. IEEE Computer Society, (2008)Fast and Black-box Exploit Detection and Signature Generation for Commodity Software., , , , , and . ACM Trans. Inf. Syst. Secur., 12 (2): 11:1-11:35 (2008)Scalable training of graph convolutional neural networks for fast and accurate predictions of HOMO-LUMO gap in molecules., , , , and . J. Cheminformatics, 14 (1): 70 (2022)