Julian Martin Kunkel
Julian Martin Kunkel
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Cited by
Cited by
Small-file access in parallel file systems
P Carns, S Lang, R Ross, M Vilayannur, J Kunkel, T Ludwig
2009 IEEE International Symposium on Parallel & Distributed Processing, 1-11, 2009
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
Handbook of Energy-Aware and Green Computing, Volume 1
I Ahmad, S Ranka
CRC Press, 2012
From experimental setup to bioinformatics: An RNAi screening platform to identify host factors involved in HIV‐1 replication
K Börner, J Hermle, C Sommer, NP Brown, B Knapp, B Glass, J Kunkel, ...
Biotechnology Journal: Healthcare Nutrition Technology 5 (1), 39-49, 2010
Performance-optimized clinical IMRT planning on modern CPUs
P Ziegenhein, CP Kamerling, M Bangert, J Kunkel, U Oelfke
Physics in Medicine & Biology 58 (11), 3705, 2013
Evaluating lossy compression on climate data
N Hübbe, A Wegener, JM Kunkel, Y Ling, T Ludwig
Supercomputing: 28th International Supercomputing Conference, ISC 2013 …, 2013
Real-time I/O-monitoring of HPC applications with SIOX, elasticsearch, Grafana and FUSE
E Betke, J Kunkel
High Performance Computing: ISC High Performance 2017 International …, 2017
Performance evaluation of the PVFS2 architecture
JM Kunkel, T Ludwig
15th EUROMICRO International Conference on Parallel, Distributed and Network …, 2007
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), 2018
Data compression for climate data
M Kuhn, JM Kunkel, T Ludwig
Supercomputing frontiers and innovations 3 (1), 75-94, 2016
The SIOX architecture–coupling automatic monitoring and optimization of parallel I/O
JM Kunkel, M Zimmer, N Hübbe, A Aguilera, H Mickler, X Wang, A Chut, ...
Supercomputing: 29th International Conference, ISC 2014, Leipzig, Germany …, 2014
Simulation of power consumption of energy efficient cluster hardware
T Minartz, JM Kunkel, T Ludwig
Computer Science-Research and Development 25, 165-175, 2010
Exascale storage systems: an analytical study of expenses
JM Kunkel, M Kuhn, T Ludwig
Supercomputing frontiers and innovations 1 (1), 116-134, 2014
Reducing the hpc-datastorage footprint with mafisc—multidimensional adaptive filtering improved scientific data compression
N Hübbe, J Kunkel
Computer Science-Research and Development 28, 231-239, 2013
Toward understanding I/O behavior in HPC workflows
J Lüttgau, S Snyder, P Carns, JM Wozniak, J Kunkel, T Ludwig
2018 IEEE/ACM 3rd international workshop on parallel data storage & data …, 2018
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
Towards I/O analysis of HPC systems and a generic architecture to collect access patterns
MC Wiedemann, JM Kunkel, M Zimmer, T Ludwig, M Resch, T Bönisch, ...
Computer Science-Research and Development 28, 241-251, 2013
Tools for analyzing parallel I/O
JM Kunkel, E Betke, M Bryson, P Carns, R Francis, W Frings, R Laifer, ...
High Performance Computing: ISC High Performance 2018 International …, 2018
An analytical methodology to derive power models based on hardware and software metrics
MF Dolz, J Kunkel, K Chasapis, S Catalán
Computer Science-Research and Development 31, 165-174, 2016
Predicting performance of non-contiguous i/o with machine learning
J Kunkel, M Zimmer, E Betke
High Performance Computing: 30th International Conference, ISC High …, 2015
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