• Parashar M, Kurc T, Klie H, Wheeler M, Saltz J, Jammoul M and Dong R. (2023). Dynamic Data-Driven Application Systems for Reservoir Simulation-Based Optimization: Lessons Learned and Future Trends. Handbook of Dynamic Data Driven Applications Systems. 10.1007/978-3-031-27986-7_11. (287-330).

    https://link.springer.com/10.1007/978-3-031-27986-7_11

  • Shu T, Guo Y, Wozniak J, Ding X, Foster I and Kurc T. Bootstrapping in-situ workflow auto-tuning via combining performance models of component applications. Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis. (1-15).

    https://doi.org/10.1145/3458817.3476197

  • Mamun A, Yan F and Zhao D. BAASH. Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis. (1-18).

    https://doi.org/10.1145/3458817.3476155

  • Subedi P, Davis P and Parashar M. (2021). RISE: Reducing I/O Contention in Staging-based Extreme-Scale In-situ Workflows 2021 IEEE International Conference on Cluster Computing (CLUSTER). 10.1109/Cluster48925.2021.00021. 978-1-7281-9666-4. (146-156).

    https://ieeexplore.ieee.org/document/9556012/

  • Duan S and Parashar M. (2020). Scalable Crash Consistency for Staging-based In-situ Scientific Workflows 2020 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW). 10.1109/IPDPSW50202.2020.00068. 978-1-7281-7445-7. (340-348).

    https://ieeexplore.ieee.org/document/9150356/