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Michael Kuhn
Michael Kuhn
Otto von Guericke University Magdeburg, Faculty of Computer Science
Verified email at ovgu.de - Homepage
Title
Cited by
Cited by
Year
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
1482012
Data Compression for Climate Data
M Kuhn, JM Kunkel, T Ludwig
Supercomputing frontiers and innovations 3 (1), 75-94, 2016
372016
MPI-checker: Static Analysis for MPI
A Droste, M Kuhn, T Ludwig
Proceedings of the Second Workshop on the LLVM Compiler Infrastructure in …, 2015
352015
Exascale Storage Systems - An Analytical Study of Expenses
JM Kunkel, M Kuhn, T Ludwig
Supercomputing frontiers and innovations 1 (1), 116-134, 2014
342014
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
282018
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
232015
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
232009
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
182007
Directory-Based Metadata Optimizations for Small Files in PVFS
M Kuhn, J Kunkel, T Ludwig
European Conference on Parallel Processing, 90-99, 2008
172008
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
142017
JULEA: A Flexible Storage Framework for HPC
M Kuhn
International Conference on High Performance Computing, 712-723, 2017
132017
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
112015
A Semantics-Aware I/O Interface for High Performance Computing
M Kuhn
International Supercomputing Conference, 408-421, 2013
92013
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
92012
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
92012
Evaluating Power-Performace Benefits of Data Compression in HPC Storage Servers
K Chasapis, M Dolz, M Kuhn, T Ludwig
IARIA Conference, 29-34, 2014
82014
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
72016
Dynamically Adaptable I/O Semantics for High Performance Computing
M Kuhn
International Conference on High Performance Computing, 240-256, 2015
72015
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
72014
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
62020
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