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Large-scale compute-intensive analysis via a combined in-situ and co-scheduling workflow approach., , , , , , , , , and 2 other author(s). SC, page 50:1-50:11. ACM, (2015)Meshing the Universe: Integrating Analysis in Cosmological Simulations., , , , , , , and . SC Companion, page 186-195. IEEE Computer Society, (2012)Modeling the Galaxy Distribution in Clusters using Halo Cores, , , , , , , and . (2023)cite arxiv:2302.04194Comment: 17 pages, 19 figures, 1 Appendix.A Performance-Portable SYCL Implementation of CRK-HACC for Exascale., , , , , and . SC Workshops, page 1114-1125. ACM, (2023)HACC: extreme scaling and performance across diverse architectures., , , , , , , , , and 3 other author(s). Commun. ACM, 60 (1): 97-104 (2017)The Outer Rim Simulation: A Path to Many-Core Supercomputers, , , , , , , , , and 3 other author(s). (2019)cite arxiv:1904.11970Comment: 10 pages, 10 figures. Submitted to ApJS. The Outer Rim data products can be accessed here: https://cosmology.alcf.anl.gov/.Spatial Clustering of Galaxies in Large Datasets, , , , , , and . CoRR, (2002)Enabling particle applications for exascale computing platforms., , , , , , , , , and 14 other author(s). CoRR, (2021)The universe at extreme scale: multi-petaflop sky simulation on the BG/Q., , , , , , , , , and 2 other author(s). SC, page 4. IEEE/ACM, (2012)HACC: extreme scaling and performance across diverse architectures., , , , , and . SC, page 6:1-6:10. ACM, (2013)