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Insights into Research Computing Operations using Big Data-Powered Log Analysis.

, , , , and . PEARC, page 31:1-31:8. ACM, (2017)

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Pattern-based sparse matrix representation for memory-efficient SMVM kernels., , and . ICS, page 100-109. ACM, (2009)Phoenix: The Revival of Research Computing and the Launch of the New Cost Model at Georgia Tech., , , , , , , , , and 16 other author(s). PEARC, page 13:1-13:9. ACM, (2022)Buzzard: Georgia Tech's Foray into the Open Science Grid., , , , , , , , , and 23 other author(s). PEARC, page 47:1-47:5. ACM, (2022)An operation stacking framework for large ensemble computations., , and . ICS, page 83-92. ACM, (2007)Insights into Research Computing Operations using Big Data-Powered Log Analysis., , , , and . PEARC, page 31:1-31:8. ACM, (2017)A Library for Pattern-based Sparse Matrix Vector Multiply., , and . Int. J. Parallel Program., 39 (1): 62-87 (2011)Applicability of Pattern-based sparse matrix representation for real applications., , and . ICCS, volume 1 of Procedia Computer Science, page 203-211. Elsevier, (2010)ProvBench: A performance provenance capturing framework for heterogeneous research computing environments., , , , , , and . Concurr. Comput. Pract. Exp., (2022)A data-driven support strategy for a sustainable research software repository., , , , , , , and . Concurr. Comput. Pract. Exp., (2019)Operation Stacking for Ensemble Computations With Variable Convergence., , and . Int. J. High Perform. Comput. Appl., 24 (2): 194-212 (2010)