| Looking under the hood of the IBM Blue Gene/Q network D Chen, N Eisley, P Heidelberger, S Kumar, A Mamidala, F Petrini, ... SC'12: Proceedings of the International Conference on High Performance …, 2012 | 102 | 2012 |
| A codesign framework for online data analysis and reduction K Mehta, B Allen, M Wolf, J Logan, E Suchyta, S Singhal, JY Choi, ... Concurrency and Computation: Practice and Experience 34 (14), e6519, 2022 | 22 | 2022 |
| IFM: a scalable high resolution flood modeling framework S Singhal, S Aneja, F Liu, LV Real, T George Euro-Par 2014 Parallel Processing: 20th International Conference, Porto …, 2014 | 7 | 2014 |
| Facility location with red–blue demands S Arora, N Gupta, S Khuller, Y Sabharwal, S Singhal Operations Research Letters 42 (6-7), 462-465, 2014 | 5 | 2014 |
| DYFLOW: A flexible framework for orchestrating scientific workflows on supercomputers S Singhal, A Sussman, M Wolf, K Mehta, JY Choi 50th International Conference on Parallel Processing Workshop, 1-11, 2021 | 3 | 2021 |
| A hybrid parallelization approach for high resolution operational flood forecasting S Singhal, LV Real, T George, S Aneja, Y Sabharwal 20th Annual International Conference on High Performance Computing, 405-414, 2013 | 3 | 2013 |
| Adaptive Compression to Improve I/O Performance for Climate Simulations S Singhal, A Sussman The 2nd International Workshop on Data Reduction for Big Scientific Data …, 2017 | 2 | 2017 |
| A Flexible Approach for Orchestrating Adaptive Scientific Workflows for Scalable Computing S Singhal University of Maryland, College Park, 2022 | | 2022 |
| Toward a Framework for Policy-Driven Adaptive In Situ Workflows SK Kshitij Mehta, Swati Singhal, Matthew Wolf, Norbert Podhorszki, Jeremy ... The 6th International Workshop on Data Reduction for Big Scientific Data …, 2020 | | 2020 |
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