Hello ADIOS: the challenges and lessons of developing leadership class I/O frameworks Q Liu, J Logan, Y Tian, H Abbasi, N Podhorszki, JY Choi, S Klasky, ... Concurrency and Computation: Practice and Experience 26 (7), 1453-1473, 2014 | 284 | 2014 |
ADIOS 2: The Adaptable Input Output System. A framework for high-performance data management WF Godoy, N Podhorszki, R Wang, C Atkins, G Eisenhauer, J Gu, P Davis, ... SoftwareX 12, 100561, 2020 | 212 | 2020 |
In situ data processing for extreme-scale computing S Klasky, H Abbasi, J Logan, M Parashar, K Schwan, A Shoshani, M Wolf, ... Scientific Discovery through Advanced Computing Program (SciDAC’11), 1-16, 2011 | 61 | 2011 |
Coupling Exascale Multiphysics Applications: Methods and Lessons Learned JY Choi, CS Chang, J Dominski, S Klasky, G Merlo, E Suchyta, ... 2018 IEEE 14th International Conference on e-Science (e-Science), 442-452, 2018 | 42 | 2018 |
A high performance implementation of MPI‐IO for a Lustre file system environment PM Dickens, J Logan Concurrency and Computation: Practice and Experience 22 (11), 1433-1449, 2010 | 38 | 2010 |
Y-lib: a user level library to increase the performance of MPI-IO in a lustre file system environment PM Dickens, J Logan Proceedings of the 18th ACM international symposium on High performance …, 2009 | 36 | 2009 |
Towards a high performance implementation of MPI-IO on the Lustre file system P Dickens, J Logan OTM Confederated International Conferences" On the Move to Meaningful …, 2008 | 35 | 2008 |
Runtime {I/O}{Re-Routing}+ Throttling on {HPC} Storage Q Liu, N Podhorszki, J Logan, S Klasky 5th USENIX Workshop on Hot Topics in Storage and File Systems (HotStorage 13), 2013 | 33 | 2013 |
Understanding I/O performance using I/O skeletal applications J Logan, S Klasky, H Abbasi, Q Liu, G Ostrouchov, M Parashar, ... Euro-Par 2012 Parallel Processing: 18th International Conference, Euro-Par …, 2012 | 29 | 2012 |
Towards an understanding of the performance of MPI-IO in Lustre file systems J Logan, P Dickens 2008 IEEE International Conference on Cluster Computing, 330-335, 2008 | 29 | 2008 |
FlexQuery: An online query system for interactive remote visual data exploration at large scale H Zou, K Schwan, M Slawinska, M Wolf, G Eisenhauer, F Zheng, J Dayal, ... 2013 IEEE International Conference on Cluster Computing (CLUSTER), 1-8, 2013 | 26 | 2013 |
The Exascale Framework for High Fidelity coupled Simulations (EFFIS): Enabling whole device modeling in fusion science E Suchyta, S Klasky, N Podhorszki, M Wolf, A Adesoji, CS Chang, J Choi, ... The International Journal of High Performance Computing Applications 36 (1 …, 2022 | 25 | 2022 |
Skel: Generative software for producing skeletal i/o applications J Logan, S Klasky, J Lofstead, H Abbasi, S Ethier, R Grout, SH Ku, Q Liu, ... 2011 IEEE Seventh International Conference on e-Science Workshops, 191-198, 2011 | 24 | 2011 |
ADIOS visualization schema: A first step towards improving interdisciplinary collaboration in high performance computing. In eScience (eScience) R Tchoua, J Choi, S Klasky, Q Liu, J Logan, K Moreland, J Mu, ... 2013 IEEE 9th International Conference on eScience, 27-34, 2013 | 23* | 2013 |
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 |
Combining phase identification and statistic modeling for automated parallel benchmark generation Y Jin, X Ma, M Liu, Q Liu, J Logan, N Podhorszki, JY Choi, S Klasky Proceedings of the 2015 ACM SIGMETRICS International Conference on …, 2015 | 19 | 2015 |
Reusability first: toward FAIR workflows M Wolf, J Logan, K Mehta, D Jacobson, M Cashman, AM Walker, ... 2021 IEEE International Conference on Cluster Computing (CLUSTER), 444-455, 2021 | 18 | 2021 |
Extending the Publish/Subscribe Abstraction for High-Performance I/O and Data Management at Extreme Scale J Logan, M Ainsworth, C Atkins, J Chen, J Choi, J Gu, J Kress, ... Data Engineering, 35, 2020 | 15 | 2020 |
Understanding Performance-Quality Trade-offs in Scientific Visualization Workflows with Lossy Compression J Chen, D Pugmire, M Wolf, N Thompson, J Logan, K Mehta, L Wan, ... | 13 | 2019 |
Harnessing data movement in virtual clusters for in-situ execution D Huang, Q Liu, S Klasky, J Wang, JY Choi, J Logan, N Podhorszki IEEE Transactions on Parallel and Distributed Systems 30 (3), 615-629, 2018 | 13 | 2018 |