Survey of storage systems for high-performance computing J Lüttgau, M Kuhn, K Duwe, Y Alforov, E Betke, J Kunkel, T Ludwig Supercomputing Frontiers and Innovations 5 (1), 2018 | 38 | 2018 |
The SIOX architecture–coupling automatic monitoring and optimization of parallel I/O JM Kunkel, M Zimmer, N Hübbe, A Aguilera, H Mickler, X Wang, A Chut, ... Supercomputing: 29th International Conference, ISC 2014, Leipzig, Germany …, 2014 | 38 | 2014 |
Toward understanding I/O behavior in HPC workflows J Lüttgau, S Snyder, P Carns, JM Wozniak, J Kunkel, T Ludwig 2018 IEEE/ACM 3rd international workshop on parallel data storage & data …, 2018 | 28 | 2018 |
Workflows community summit 2022: A roadmap revolution RF da Silva, RM Badia, V Bala, D Bard, PT Bremer, I Buckley, ... arXiv preprint arXiv:2304.00019, 2023 | 16 | 2023 |
State of the art and future trends in data reduction for high-performance computing K Duwe, J Lüttgau, G Mania, J Squar, A Fuchs, M Kuhn, E Betke, ... Supercomputing Frontiers and Innovations 7 (1), 4-36, 2020 | 9 | 2020 |
To the brave scientists: Aren't we strong enough to stand (and profit from) uncertainty in Earth system measurement and modelling? H Paasche, M Gross, J Lüttgau, DS Greenberg, T Weigel Geoscience Data Journal 9 (2), 393-399, 2022 | 5 | 2022 |
NSDF-FUSE: a testbed for studying object storage via FUSE file systems P Olaya, J Luettgau, N Zhou, J Lofstead, G Scorzelli, V Pascucci, M Taufer Proceedings of the 31st International Symposium on High-Performance Parallel …, 2022 | 5 | 2022 |
Thicket: Seeing the performance experiment forest for the individual run trees S Brink, M McKinsey, D Boehme, C Scully-Allison, I Lumsden, D Hawkins, ... Proceedings of the 32nd International Symposium on High-Performance Parallel …, 2023 | 4 | 2023 |
Orchestration of materials science workflows for heterogeneous resources at large scale N Zhou, G Scorzelli, J Luettgau, RR Kancharla, JJ Kane, R Wheeler, ... The International Journal of High Performance Computing Applications 37 (3-4 …, 2023 | 4 | 2023 |
NSDF-Cloud: enabling ad-hoc compute clusters across academic and commercial clouds J Luettgau, P Olaya, N Zhou, G Scorzelli, V Pascucci, M Taufer Proceedings of the 31st International Symposium on High-Performance Parallel …, 2022 | 4 | 2022 |
Data-aware compression for HPC using machine learning J Plehn, A Fuchs, M Kuhn, J Lüttgau, T Ludwig Proceedings of the Workshop on Challenges and Opportunities of Efficient and …, 2022 | 4 | 2022 |
NSDF-Catalog: Lightweight Indexing Service for Democratizing Data Delivery J Luettgau, G Scorzelli, V Pascucci, G Tarcea, CR Kirkpatrick, M Taufer 2022 IEEE/ACM 15th International Conference on Utility and Cloud Computing (UCC), 2022 | 3 | 2022 |
Simulation of hierarchical storage systems for TCO and QoS J Luettgau, J Kunkel High Performance Computing: ISC High Performance 2017 International …, 2017 | 3 | 2017 |
Modeling and Simulation of Tape Libraries for Hierarchical Storage Mangement Systems J Lüttgau Universität Hamburg, Fachbereich Informatik, 2016 | 3 | 2016 |
NSDF-services: Integrating networking, storage, and computing services into a testbed for democratization of data delivery J Luettgau, H Martinez, P Olaya, G Scorzelli, G Tarcea, J Lofstead, ... Proceedings of the IEEE/ACM 16th International Conference on Utility and …, 2023 | 2 | 2023 |
Enabling Scalability in the Cloud for Scientific Workflows: An Earth Science Use Case P Olaya, J Luettgau, C Roa, R Llamas, R Vargas, S Wen, IH Chung, ... 2023 IEEE 16th International Conference on Cloud Computing (CLOUD), 383-393, 2023 | 2 | 2023 |
Workflows Community Summit 2022: A Roadmap Revolution R Ferreira Da Silva, R Badia, V Bala, D Bard, PT Bremer, I Buckley, ... Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States), 2023 | 2 | 2023 |
Enabling call path querying in hatchet to identify performance bottlenecks in scientific applications I Lumsden, J Luettgau, V Lama, C Scully-Allison, S Brink, KE Isaacs, ... 2022 IEEE 18th International Conference on e-Science (e-Science), 256-266, 2022 | 2 | 2022 |
Cost and performance modeling for Earth system data management and beyond J Lüttgau, J Kunkel High Performance Computing: ISC High Performance 2018 International …, 2018 | 2 | 2018 |
Studying Latency and Throughput Constraints for Geo-Distributed Data in the National Science Data Fabric J Luettgau, H Martinez, G Tarcea, G Scorzelli, V Pascucci, M Taufer Proceedings of the 32nd International Symposium on High-Performance Parallel …, 2023 | 1 | 2023 |