| 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 | 148 | 2012 |
| Data Compression for Climate Data M Kuhn, JM Kunkel, T Ludwig Supercomputing frontiers and innovations 3 (1), 75-94, 2016 | 37 | 2016 |
| MPI-checker: Static Analysis for MPI A Droste, M Kuhn, T Ludwig Proceedings of the Second Workshop on the LLVM Compiler Infrastructure in …, 2015 | 35 | 2015 |
| Exascale Storage Systems - An Analytical Study of Expenses JM Kunkel, M Kuhn, T Ludwig Supercomputing frontiers and innovations 1 (1), 116-134, 2014 | 34 | 2014 |
| 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 | 28 | 2018 |
| 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 | 23 | 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 | 18 | 2007 |
| Directory-Based Metadata Optimizations for Small Files in PVFS M Kuhn, J Kunkel, T Ludwig European Conference on Parallel Processing, 90-99, 2008 | 17 | 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 | 14 | 2017 |
| JULEA: A Flexible Storage Framework for HPC M Kuhn International Conference on High Performance Computing, 712-723, 2017 | 13 | 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 | 11 | 2015 |
| A Semantics-Aware I/O Interface for High Performance Computing M Kuhn International Supercomputing Conference, 408-421, 2013 | 9 | 2013 |
| Towards an Energy-Aware Scientific I/O Interface JM Kunkel, T Minartz, M Kuhn, T Ludwig Computer Science-Research and Development 27 (4), 337-345, 2012 | 9 | 2012 |
| 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 |
| Evaluating Power-Performace Benefits of Data Compression in HPC Storage Servers K Chasapis, M Dolz, M Kuhn, T Ludwig IARIA Conference, 29-34, 2014 | 8 | 2014 |
| Analyzing the energy consumption of the storage data path P Llopis, MF Dolz, JG Blas, F Isaila, MR Heidari, M Kuhn The Journal of Supercomputing 72 (11), 4089-4106, 2016 | 7 | 2016 |
| Dynamically Adaptable I/O Semantics for High Performance Computing M Kuhn International Conference on High Performance Computing, 240-256, 2015 | 7 | 2015 |
| 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 | 7 | 2014 |
| 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 | 6 | 2020 |
Thomas LudwigProfessor Computer ScienceVerified email at org.dkrz.de
