Michael Kuhn
Michael Kuhn
Otto von Guericke University Magdeburg, Faculty of Computer Science
Verified email at - Homepage
Cited by
Cited by
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
MPI-checker: Static Analysis for MPI
A Droste, M Kuhn, T Ludwig
Proceedings of the Second Workshop on the LLVM Compiler Infrastructure in …, 2015
Data Compression for Climate Data
M Kuhn, JM Kunkel, T Ludwig
Supercomputing frontiers and innovations 3 (1), 75-94, 2016
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
Exascale Storage Systems - An Analytical Study of Expenses
JM Kunkel, M Kuhn, T Ludwig
Supercomputing frontiers and innovations 1 (1), 116-134, 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
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
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
JULEA: A flexible storage framework for HPC
M Kuhn
High Performance Computing: ISC High Performance 2017 International …, 2017
Directory-Based Metadata Optimizations for Small Files in PVFS
M Kuhn, J Kunkel, T Ludwig
European Conference on Parallel Processing, 90-99, 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
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
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
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
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
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
A Semantics-Aware I/O Interface for High Performance Computing
M Kuhn
International Supercomputing Conference, 408-421, 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
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
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
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