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Michael Kuhn 0003
Person information
- affiliation: Otto von Guericke University of Magdeburg, Faculty of Computer Science, Germany
- affiliation: University of Hamburg, Germany
Other persons with the same name
- Michael Kuhn — disambiguation page
- Michael Kuhn 0001
— University of Applied Sciences Darmstadt, MOWICOM, Germany
- Michael Kuhn 0002 — ETH Zurich, Distributed Computing Group, Switzerland
- Michael Kuhn 0004
- Michael Kuhn 0005
- Michael Kuhn 0006 — University of Tennessee at Knoxville, USA
- Michael Kuhn 0007
- Michael Kuhn 0008 — ETH Zurich, Communication Technology Lab, Switzerland (and 1 more)
- Michael Kuhn 0009 — Johannes Kepler University of Linz, Institute of Analysis and Computational Mathematics, Austria
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2020 – today
- 2024
- [c29]Sajad Karim, Johannes Wünsche, David Broneske, Michael Kuhn, Gunter Saake:
A Design Proposal for a Unified B-epsilon-tree: Embracing NVM in Memory Hierarchies. GvDB 2024: 43-50 - [c28]Kira Duwe
DAI: How Pre-computation Speeds up Data Analysis. ICCS (2) 2024: 116-130 - [c27]Anna Fuchs, Jannek Squar, Michael Kuhn:
Towards End-to-End Compression in Lustre. ISPDC 2024: 1-8 - [c26]Anna Fuchs, Jannek Squar, Michael Kuhn:
Ensemble-Based System Benchmarking for HPC. ISPDC 2024: 1-8 - 2023
- [c25]Johannes Wünsche
Intelligent Data Migration Policies in a Write-Optimized Copy-on-Write Tiered Storage Stack. CHEOPS@EuroSys 2023: 17-26 - [c24]Sajad Karim, Johannes Wünsche, David Broneske, Michael Kuhn, Gunter Saake:
Assessing Non-volatile Memory in Modern Heterogeneous Storage Landscape using a Write-optimized Storage Stack. GvDB 2023 - [c23]Georgiana Mania
Vecpar - A Framework for Portability and Parallelization. ICCS (1) 2023: 253-267 - 2022
- [j12]Julius Plehn, Anna Fuchs, Michael Kuhn, Jakob Lüttgau
Data-Aware Compression for HPC using Machine Learning. ACM SIGOPS Oper. Syst. Rev. 56(1): 62-69 (2022) - [c22]Julius Plehn, Anna Fuchs, Michael Kuhn, Jakob Lüttgau
Data-aware compression for HPC using machine learning. CHEOPS@EuroSys 2022: 8-15 - [c21]Maximilian Keiff, Frederic Voigt, Anna Fuchs, Michael Kuhn, Jannek Squar, Thomas Ludwig:
Automated performance analysis tools framework for HPC programs. KES 2022: 1067-1076 - [c20]Jannek Squar, Niclas Schroeter, Anna Fuchs, Michael Kuhn, Thomas Ludwig:
Content queries and in-depth analysis on version-controlled software. KES 2022: 1261-1270 - [e3]Michael Kuhn, Kira Duwe, Jean-Thomas Acquaviva, Konstantinos Chasapis, Jalil Boukhobza:
CHEOPS@EuroSys 2022: Proceedings of the Workshop on Challenges and Opportunities of Efficient and Performant Storage Systems, Rennes, France, 5 April 2022. ACM 2022, ISBN 978-1-4503-9209-9 [contents] - 2021
- [j11]Xiaocong Ai
A GPU-Based Kalman Filter for Track Fitting. Comput. Softw. Big Sci. 5(1) (2021) - [c19]Kira Duwe
Using ceph's BlueStore as object storage in HPC storage framework. CHEOPS@EuroSys 2021: 3:1-3:6 - [c18]Michael Blesel
heimdallr: Improving Compile Time Correctness Checking for Message Passing with Rust. ISC Workshops 2021: 199-211 - [c17]Kira Duwe
Dissecting self-describing data formats to enable advanced querying of file metadata. SYSTOR 2021: 12:1-12:7 - [e2]Bartosz Balis
Euro-Par 2020: Parallel Processing Workshops - Euro-Par 2020 International Workshops, Warsaw, Poland, August 24-25, 2020, Revised Selected Papers. Lecture Notes in Computer Science 12480, Springer 2021, ISBN 978-3-030-71592-2 [contents] - [e1]Michael Kuhn, Kira Duwe, Jean-Thomas Acquaviva, Konstantinos Chasapis, Jalil Boukhobza:
CHEOPS '21: Proceedings of the Workshop on Challenges and Opportunities of Efficient and Performant Storage Systems, In Conjunction with EuroSys 2021, Online Event, United Kingdom, April, 2021. ACM 2021, ISBN 978-1-4503-8302-8 [contents] - 2020
- [j10]Pierre Matri, Yevhen Alforov, Álvaro Brandón
Mission possible: Unify HPC and Big Data stacks towards application-defined blobs at the storage layer. Future Gener. Comput. Syst. 109: 668-677 (2020) - [j9]Kira Duwe, Jakob Lüttgau
State of the Art and Future Trends in Data Reduction for High-Performance Computing. Supercomput. Front. Innov. 7(1): 4-36 (2020) - [c16]Jannek Squar
Compiler Assisted Source Transformation of OpenMP Kernels. ISPDC 2020: 44-51
2010 – 2019
- 2019
- [j8]Michael Kuhn:
Parallele Dateisysteme. Inform. Spektrum 42(5): 360-364 (2019) - 2018
- [j7]Jakob Lüttgau
Survey of Storage Systems for High-Performance Computing. Supercomput. Front. Innov. 5(1): 31-58 (2018) - [c15]Yevhen Alforov, Thomas Ludwig, Anastasiia Novikova, Michael Kuhn, Julian M. Kunkel:
Towards Green Scientific Data Compression Through High-Level I/O Interfaces. SBAC-PAD 2018: 209-216 - 2017
- [c14]Pierre Matri, Yevhen Alforov, Álvaro Brandón
Could Blobs Fuel Storage-Based Convergence Between HPC and Big Data? CLUSTER 2017: 81-86 - [c13]Michael Kuhn:
JULEA: A Flexible Storage Framework for HPC. ISC Workshops 2017: 712-723 - 2016
- [j6]Michael Kuhn, Julian M. Kunkel, Thomas Ludwig:
Data Compression for Climate Data. Supercomput. Front. Innov. 3(1): 75-94 (2016) - [j5]Pablo Llopis, Manuel F. Dolz
Analyzing the energy consumption of the storage data path. J. Supercomput. 72(11): 4089-4106 (2016) - 2015
- [b1]Michael Kuhn:
Dynamically Adaptable I/O Semantics for High Performance Computing. University of Hamburg, 2015 - [c12]Manuel F. Dolz
ARDUPOWER: A low-cost wattmeter to improve energy efficiency of HPC applications. IGSC 2015: 1-8 - [c11]Alexander Droste, Michael Kuhn, Thomas Ludwig:
MPI-checker: static analysis for MPI. LLVM@SC 2015: 3:1-3:10 - [c10]Michael Kuhn:
Dynamically Adaptable I/O Semantics for High Performance Computing. ISC 2015: 240-256 - [c9]Christopher Bartz, Konstantinos Chasapis, Michael Kuhn, Petra Nerge, Thomas Ludwig:
A Best Practice Analysis of HDF 5 5 and NetCDF- 4 4 Using Lustre. ISC 2015: 274-281 - 2014
- [j4]Julian Martin Kunkel, Michael Kuhn, Thomas Ludwig:
Exascale Storage Systems - An Analytical Study of Expenses. Supercomput. Front. Innov. 1(1): 116-134 (2014) - [c8]Michael Lautenschlager, Panagiotis Adamidis, Michael Kuhn:
Big Data Research at DKRZ - Climate Model Data Production Workflow. High Performance Computing Workshop 2014: 133-155 - [c7]Konstantinos Chasapis, Manuel F. Dolz
Evaluating Lustre's metadata server on a multi-socket platform. PDSW@SC 2014: 13-18 - 2013
- [c6]Michael Kuhn:
A Semantics-Aware I/O Interface for High Performance Computing. ISC 2013: 408-421 - 2012
- [j3]Julian M. Kunkel, Timo Minartz, Michael Kuhn, Thomas Ludwig:
Towards an energy-aware scientific I/O interface - Stretching the ADIOS interface to foster performance analysis and energy awareness. Comput. Sci. Res. Dev. 27(4): 337-345 (2012) - [c5]Michael Kuhn, Julian M. Kunkel, Thomas Ludwig:
Simulation-Aided Performance Evaluation of Server-Side Input/Output Optimizations. PDP 2012: 562-566 - [c4]Dirk Meister, Jürgen Kaiser, André Brinkmann
A study on data deduplication in HPC storage systems. SC 2012: 7 - [r1]Timo Minartz, Daniel Molka, Julian M. Kunkel, Michael Knobloch, Michael Kuhn, Thomas Ludwig:
Tool Environments to Measure Power Consumption and Computational Performance. Handbook of Energy-Aware and Green Computing 2012: 709-744 - 2011
- [c3]Michael Kuhn, Julian M. Kunkel, Yuichi Tsujita
Optimizations for Two-Phase Collective I/O. PARCO 2011: 455-462 - 2010
- [j2]Julian M. Kunkel, Olga Mordvinova, Michael Kuhn, Thomas Ludwig:
Collecting energy consumption of scientific data - Energy demands for files during their life cycle. Comput. Sci. Res. Dev. 25(3-4): 197-205 (2010)
2000 – 2009
- 2009
- [j1]Michael Kuhn, Julian M. Kunkel, Thomas Ludwig:
Dynamic file system semantics to enable metadata optimizations in PVFS. Concurr. Comput. Pract. Exp. 21(14): 1775-1788 (2009) - 2008
- [c2]Michael Kuhn, Julian M. Kunkel, Thomas Ludwig:
Directory-Based Metadata Optimizations for Small Files in PVFS. Euro-Par 2008: 90-99 - 2007
- [c1]Thomas Ludwig, Stephan Krempel, Michael Kuhn, Julian M. Kunkel, Christian Lohse:
Analysis of the MPI-IO Optimization Levels with the PIOViz Jumpshot Enhancement. PVM/MPI 2007: 213-222
Coauthor Index
aka: Julian Martin Kunkel
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last updated on 2024-12-09 23:09 CET by the dblp team
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