| A Study on Data Deduplication in HPC Storage Systems D Meister, J Kaiser, A Brinkmann, T Cortes, M Kuhn, J Kunkel SC'12: Proceedings of the International Conference on High Performance …, 2012 | 177 | 2012 |
| MPI-checker: Static Analysis for MPI A Droste, M Kuhn, T Ludwig Proceedings of the Second Workshop on the LLVM Compiler Infrastructure in …, 2015 | 56 | 2015 |
| A 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), 31-58, 2018 | 41 | 2018 |
| Data Compression for Climate Data M Kuhn, JM Kunkel, T Ludwig Supercomputing frontiers and innovations 3 (1), 75-94, 2016 | 40 | 2016 |
| Exascale Storage Systems - An Analytical Study of Expenses JM Kunkel, M Kuhn, T Ludwig Supercomputing frontiers and innovations 1 (1), 116-134, 2014 | 31 | 2014 |
| ARDUPOWER: A low-cost wattmeter to improve energy efficiency of HPC applications MF Dolz, MR Heidari, M Kuhn, T Ludwig, G Fabregat 2015 Sixth International Green and Sustainable Computing Conference (IGSC), 1-8, 2015 | 24 | 2015 |
| Dynamic file system semantics to enable metadata optimizations in PVFS M Kuhn, JM Kunkel, T Ludwig Concurrency and Computation: Practice and Experience 21 (14), 1775-1788, 2009 | 23 | 2009 |
| Analysis of the MPI-IO Optimization Levels with the PIOViz Jumpshot Enhancement T Ludwig, S Krempel, M Kuhn, J Kunkel, C Lohse European Parallel Virtual Machine/Message Passing Interface Users’ Group …, 2007 | 19 | 2007 |
| JULEA: A flexible storage framework for HPC M Kuhn High Performance Computing: ISC High Performance 2017 International …, 2017 | 18 | 2017 |
| Directory-Based Metadata Optimizations for Small Files in PVFS M Kuhn, J Kunkel, T Ludwig European Conference on Parallel Processing, 90-99, 2008 | 18 | 2008 |
| Could Blobs Fuel Storage-Based Convergence Between HPC and Big Data? P Matri, Y Alforov, A Brandon, M Kuhn, P Carns, T Ludwig 2017 IEEE International Conference on Cluster Computing (CLUSTER), 81-86, 2017 | 15 | 2017 |
| A Best Practice Analysis of HDF5 and NetCDF-4 Using Lustre C Bartz, K Chasapis, M Kuhn, P Nerge, T Ludwig International Conference on High Performance Computing, 274-281, 2015 | 15 | 2015 |
| 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 | 12 | 2020 |
| A gpu-based kalman filter for track fitting X Ai, G Mania, HM Gray, M Kuhn, N Styles Computing and Software for Big Science 5 (1), 20, 2021 | 10 | 2021 |
| Mission possible: Unify HPC and Big Data stacks towards application-defined blobs at the storage layer P Matri, Y Alforov, A Brandon, MS Pérez, A Costan, G Antoniu, M Kuhn, ... Future Generation Computer Systems 109, 668-677, 2020 | 9 | 2020 |
| Evaluating Lustre's Metadata Server on a Multi-socket Platform K Chasapis, MF Dolz, M Kuhn, T Ludwig 2014 9th Parallel Data Storage Workshop, 13-18, 2014 | 9 | 2014 |
| A Semantics-Aware I/O Interface for High Performance Computing M Kuhn International Supercomputing Conference, 408-421, 2013 | 9 | 2013 |
| Tool Environments to Measure Power Consumption and Computational Performance T Minartz, D Molka, J Kunkel, M Knobloch, M Kuhn, T Ludwig Handbook of Energy-Aware and Green Computing, 709-743, 2012 | 9 | 2012 |
| Coupling Storage Systems and Self-Describing Data Formats for Global Metadata Management M Kuhn, K Duwe 2020 International Conference on Computational Science and Computational …, 2020 | 8 | 2020 |
| Compiler Assisted Source Transformation of OpenMP Kernels J Squar, T Jammer, M Blesel, M Kuhn, T Ludwig 2020 19th International Symposium on Parallel and Distributed Computing …, 2020 | 8 | 2020 |
Thomas LudwigProfessor Computer ScienceVerified email at org.dkrz.de
