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ORCIDJulian M. Kunkel
Julian Martin Kunkel
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- affiliation: University of Hamburg, Department of Informatics
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2020 – today
- 2024
[c58]Michael Bidollahkhani, Aasish Kumar Sharma, Julian M. Kunkel:
HOSHMAND: Accelerated AI-Driven Scheduler Emulating Conventional Task Distribution Techniques for Cloud Workloads. COMPSAC 2024: 2313-2320- [c57]Dmytro Povaliaiev, Radita Liem, Julian M. Kunkel, Jay F. Lofstead, Philip H. Carns:
High-Quality I/O Bandwidth Prediction with Minimal Data via Transfer Learning Workflow. SBAC-PAD 2024: 93-104 - [c56]Hendrik Nolte
, Lars Quentin, Julian M. Kunkel:
Secure Elasticsearch Clusters on HPC Systems for Sensitive Data. ISC Workshops 2024: 199-212 - [i7]Albert Reuther, Nick Brown, William Arndt, Johannes P. Blaschke, Christian Boehme, Antony Chazapis, Bjoern Enders, Robert Henschel, Julian M. Kunkel, Maxime Martinasso:
Interactive and Urgent HPC: Challenges and Opportunities. CoRR abs/2401.14550 (2024) - [i6]Michael Bidollahkhani, Julian M. Kunkel:
Revolutionizing System Reliability: The Role of AI in Predictive Maintenance Strategies. CoRR abs/2404.13454 (2024) - [i5]Ali Doosthosseini, Jonathan Decker, Hendrik Nolte, Julian M. Kunkel:
Chat AI: A Seamless Slurm-Native Solution for HPC-Based Services. CoRR abs/2407.00110 (2024) - 2023
- [c55]Julian Martin Kunkel, Christian Boehme, Jonathan Decker, Fabrizio Magugliani, Dirk Pleiter, Bastian Koller, Karthee Sivalingam, Sabri Pllana, Alexander Nikolov, Müjdat Soytürk, Christian Racca, Andrea Bartolini, Adrian Tate, Berkay Yaman:
DECICE: Device-Edge-Cloud Intelligent Collaboration Framework. CF 2023: 266-271 - [c54]Radita Liem, Sebastian Oeste, Jay F. Lofstead, Julian M. Kunkel:
Mango-IO: I/O Metrics Consistency Analysis. CLUSTER Workshops 2023: 18-24 - [i4]Julian M. Kunkel, Christian Boehme, Jonathan Decker, Fabrizio Magugliani, Dirk Pleiter, Bastian Koller, Karthee Sivalingam, Sabri Pllana, Alexander Nikolov, Müjdat Soytürk, Christian Racca, Andrea Bartolini, Adrian Tate, Berkay Yaman:
DECICE: Device-Edge-Cloud Intelligent Collaboration Framework. CoRR abs/2305.02697 (2023) - 2022
- [j23]Jonathan Decker, Piotr Kasprzak, Julian Martin Kunkel:
Performance Evaluation of Open-Source Serverless Platforms for Kubernetes. Algorithms 15(7): 234 (2022) - [c53]Ekene Frank Ozioko, Julian M. Kunkel, Frederic T. Stahl:
Speed Harmonisation Strategy for Human-Driven and Autonomous Vehicles Co-existence. SAI (3) 2022: 34-66 - [c52]Ekene Frank Ozioko, Julian M. Kunkel, Frederic T. Stahl:
Road Intersection Coordination Scheme for Mixed Traffic (Human Driven and Driver-Less Vehicles): A Systematic Review. SAI (3) 2022: 67-94 - 2021
- [c51]Radita Liem, Dmytro Povaliaiev, Jay F. Lofstead, Julian M. Kunkel, Christian Terboven:
User-Centric System Fault Identification Using IO500 Benchmark. PDSW@SC 2021: 35-40 - [c50]Julian M. Kunkel, Eugen Betke:
Toward a Workflow for Identifying Jobs with Similar I/O Behavior Utilizing Time Series Analysis. ISC Workshops 2021: 161-173 - [i3]Philip H. Carns, Julian M. Kunkel, Kathryn M. Mohror, Martin Schulz:
Understanding I/O Behavior in Scientific and Data-Intensive Computing (Dagstuhl Seminar 21332). Dagstuhl Reports 11(7): 16-75 (2021) - 2020
- [j22]Julian M. Kunkel, Weronika Filinger, Christian Meesters, Anja Gerbes, Sharon Broude Geva, Dirk Colbry:
The HPC Certification Forum: Toward a Globally Acknowledged HPC Certification. Comput. Sci. Eng. 22(4): 110-114 (2020) - [j21]Julian M. Kunkel, Luciana R. Pedro:
Potential of I/O Aware Workflows in Climate and Weather. Supercomput. Front. Innov. 7(2): 35-53 (2020) - [c49]Frank Gadban, Julian M. Kunkel, Thomas Ludwig:
Investigating the Overhead of the REST Protocol When Using Cloud Services for HPC Storage. ISC Workshops 2020: 161-176 - [c48]Eugen Betke, Julian M. Kunkel:
Semi-automatic Assessment of I/O Behavior by Inspecting the Individual Client-Node Timelines - An Explorative Study on 106 Jobs. ISC 2020: 166-184 - [c47]Eugen Betke, Julian M. Kunkel:
The Importance of Temporal Behavior When Classifying Job IO Patterns Using Machine Learning Techniques. ISC Workshops 2020: 191-205 - [p1]Julian M. Kunkel, Nabeeh Jumah, Anastasiia Novikova, Thomas Ludwig, Hisashi Yashiro, Naoya Maruyama, Mohamed Wahib, John Thuburn:
AIMES: Advanced Computation and I/O Methods for Earth-System Simulations. Software for Exascale Computing 2020: 61-102
2010 – 2019
- 2019
- [j20]Julian M. Kunkel, Hayk Shoukourian, Mohammad Reza Heidari, Torsten Wilde:
Interference of billing and scheduling strategies for energy and cost savings in modern data centers. Sustain. Comput. Informatics Syst. 23: 49-66 (2019) - [j19]Raul Torres, Julian M. Kunkel, Manuel F. Dolz, Thomas Ludwig:
A similarity study of I/O traces via string kernels. J. Supercomput. 75(12): 7814-7826 (2019) - [c46]Nabeeh Jumah, Julian M. Kunkel:
Optimizing Memory Bandwidth Efficiency with User-Preferred Kernel Merge. Euro-Par Workshops 2019: 69-81 - [c45]Max Lübbering, Julian M. Kunkel, Patricio Farrell:
What Company Does My News Article Refer to? Tackling Multi Class Problems With Topic Modeling. LWDA 2019: 353-364 - [c44]Nabeeh Jum'ah, Julian M. Kunkel:
Scalable Parallelization of Stencils Using MODA. ISC Workshops 2019: 142-154 - [c43]Julian M. Kunkel, Eugen Betke:
Tracking User-Perceived I/O Slowdown via Probing. ISC Workshops 2019: 169-182 - [c42]Eugen Betke, Julian M. Kunkel:
Footprinting Parallel I/O - Machine Learning to Classify Application's I/O Behavior. ISC Workshops 2019: 214-226 - [c41]Nabeeh Jumah, Julian M. Kunkel:
Automatic Vectorization of Stencil Codes with the GGDML Language Extensions. PPoPP 2019: 2:1-2:7 - [i2]Andrew Turner, Dominic Sloan-Murphy, Karthee Sivalingam, Harvey Richardson, Julian M. Kunkel:
Analysis of parallel I/O use on the UK national supercomputing service, ARCHER using Cray LASSi and EPCC SAFE. CoRR abs/1906.03891 (2019) - 2018
- [j18]Jakob Lüttgau, Michael Kuhn, Kira Duwe, Yevhen Alforov, Eugen Betke, Julian M. Kunkel, Thomas Ludwig:
Survey of Storage Systems for High-Performance Computing. Supercomput. Front. Innov. 5(1): 31-58 (2018) - [j17]Julian M. Kunkel, Manuel F. Dolz:
Understanding hardware and software metrics with respect to power consumption. Sustain. Comput. Informatics Syst. 17: 43-54 (2018) - [c40]Raul Torres, Thomas Ludwig, Julian M. Kunkel, Manuel F. Dolz:
Comparison of Clang Abstract Syntax Trees using String Kernels. HPCS 2018: 106-113 - [c39]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 - [c38]Jakob Lüttgau, Shane Snyder, Philip H. Carns, Justin M. Wozniak, Julian M. Kunkel, Thomas Ludwig:
Toward Understanding I/O Behavior in HPC Workflows. PDSW-DISCS@SC 2018: 64-75 - [c37]Jakob Lüttgau, Julian M. Kunkel:
Cost and Performance Modeling for Earth System Data Management and Beyond. ISC Workshops 2018: 23-35 - [c36]Julian Martin Kunkel, Eugen Betke, Matt Bryson, Philip H. Carns, Rosemary Francis, Wolfgang Frings, Roland Laifer, Sandra Méndez:
Tools for Analyzing Parallel I/O. ISC Workshops 2018: 49-70 - [c35]Julian Martin Kunkel, George S. Markomanolis:
Understanding Metadata Latency with MDWorkbench. ISC Workshops 2018: 75-88 - [c34]Eugen Betke, Julian M. Kunkel:
Benefit of DDN's IME-FUSE for I/O Intensive HPC Applications. ISC Workshops 2018: 131-144 - [c33]Nabeeh Jum'ah, Julian M. Kunkel:
Performance Portability of Earth System Models with User-Controlled GGDML Code Translation. ISC Workshops 2018: 693-710 - [i1]Julian M. Kunkel, Eugen Betke, Matt Bryson, Philip H. Carns, Rosemary Francis, Wolfgang Frings, Roland Laifer, Sandra Méndez:
Tools for Analyzing Parallel I/O. CoRR abs/1807.04985 (2018) - 2017
- [j16]Julian Martin Kunkel, Anastasiia Novikova, Eugen Betke:
Towards Decoupling the Selection of Compression Algorithms from Quality Constraints - An Investigation of Lossy Compression Efficiency. Supercomput. Front. Innov. 4(4): 17-33 (2017) - [c32]Raul Torres, Julian M. Kunkel, Manuel F. Dolz, Thomas Ludwig:
A Novel String Representation and Kernel Function for the Comparison of I/O Access Patterns. PaCT 2017: 500-512 - [c31]Julian M. Kunkel, Anastasiia Novikova, Eugen Betke, Armin Schaare:
Toward Decoupling the Selection of Compression Algorithms from Quality Constraints. ISC Workshops 2017: 3-14 - [c30]Julian M. Kunkel, Jay F. Lofstead, Colin McMurtrie:
HPC I/O in the Data Center Workshop (HPC-IODC). ISC Workshops 2017: 127-131 - [c29]Jakob Lüttgau, Julian M. Kunkel:
Simulation of Hierarchical Storage Systems for TCO and QoS. ISC Workshops 2017: 132-144 - [c28]Eugen Betke, Julian M. Kunkel:
Real-Time I/O-Monitoring of HPC Applications with SIOX, Elasticsearch, Grafana and FUSE. ISC Workshops 2017: 174-186 - [c27]Julian M. Kunkel, Eugen Betke:
An MPI-IO In-Memory Driver for Non-volatile Pooled Memory of the Kove XPD. ISC Workshops 2017: 679-690 - [e7]Julian M. Kunkel, Rio Yokota, Pavan Balaji, David E. Keyes:
High Performance Computing - 32nd International Conference, ISC High Performance 2017, Frankfurt, Germany, June 18-22, 2017, Proceedings. Lecture Notes in Computer Science 10266, Springer 2017, ISBN 978-3-319-58666-3 [contents] - [e6]Julian M. Kunkel, Rio Yokota, Michela Taufer, John Shalf:
High Performance Computing - ISC High Performance 2017 International Workshops, DRBSD, ExaComm, HCPM, HPC-IODC, IWOPH, IXPUG, P^3MA, VHPC, Visualization at Scale, WOPSSS, Frankfurt, Germany, June 18-22, 2017, Revised Selected Papers. Lecture Notes in Computer Science 10524, Springer 2017, ISBN 978-3-319-67629-6 [contents] - 2016
- [j15]Manuel F. Dolz, Julian M. Kunkel, Konstantinos Chasapis, Sandra Catalán:
An analytical methodology to derive power models based on hardware and software metrics. Comput. Sci. Res. Dev. 31(4): 165-174 (2016) - [j14]Michael Kuhn, Julian M. Kunkel, Thomas Ludwig:
Data Compression for Climate Data. Supercomput. Front. Innov. 3(1): 75-94 (2016) - [j13]Jan Fabian Schmid, Julian M. Kunkel:
Predicting I/O Performance in HPC Using Artificial Neural Networks. Supercomput. Front. Innov. 3(3): 19-33 (2016) - [j12]Julian Martin Kunkel:
Analyzing Data Properties using Statistical Sampling - Illustrated on Scientific File Formats. Supercomput. Front. Innov. 3(3): 34-39 (2016) - [c26]Christian Hovy, Julian M. Kunkel:
Towards Automatic and Flexible Unit Test Generation for Legacy HPC Code. SE-HPCCSE@SC 2016: 1-8 - [c25]Julian M. Kunkel:
Analyzing Data Properties Using Statistical Sampling Techniques - Illustrated on Scientific File Formats and Compression Features. ISC Workshops 2016: 130-141 - [e5]Julian M. Kunkel, Pavan Balaji, Jack J. Dongarra:
High Performance Computing - 31st International Conference, ISC High Performance 2016, Frankfurt, Germany, June 19-23, 2016, Proceedings. Lecture Notes in Computer Science 9697, Springer 2016, ISBN 978-3-319-41320-4 [contents] - [e4]Michela Taufer, Bernd Mohr, Julian M. Kunkel:
High Performance Computing - ISC High Performance 2016 International Workshops, ExaComm, E-MuCoCoS, HPC-IODC, IXPUG, IWOPH, P^3MA, VHPC, WOPSSS, Frankfurt, Germany, June 19-23, 2016, Revised Selected Papers. Lecture Notes in Computer Science 9945, 2016, ISBN 978-3-319-46078-9 [contents] - 2015
- [j11]Julian M. Kunkel, Alvaro Aguilera, Nathanael Hübbe, Marc C. Wiedemann, Michaela Zimmer:
Monitoring energy consumption with SIOX. Comput. Sci. Res. Dev. 30(2): 125-133 (2015) - [c24]Julian M. Kunkel, Michaela Zimmer, Eugen Betke:
Predicting Performance of Non-contiguous I/O with Machine Learning. ISC 2015: 257-273 - [e3]Julian M. Kunkel, Thomas Ludwig:
High Performance Computing - 30th International Conference, ISC High Performance 2015, Frankfurt, Germany, July 12-16, 2015, Proceedings. Lecture Notes in Computer Science 9137, Springer 2015, ISBN 978-3-319-20118-4 [contents] - 2014
- [j10]Julian Martin Kunkel, Michael Kuhn, Thomas Ludwig:
Exascale Storage Systems - An Analytical Study of Expenses. Supercomput. Front. Innov. 1(1): 116-134 (2014) - [c23]Jakob Lüttgau, Julian M. Kunkel:
Feign: in-silico laboratory for researching I/O strategies: using the flexible event imitation engine (feign) to alter application I/O. PDSW@SC 2014: 43-48 - [c22]Julian M. Kunkel, Michaela Zimmer, Nathanael Hübbe, Alvaro Aguilera, Holger Mickler, Xuan Wang, Andriy Chut, Thomas Bönisch, Jakob Lüttgau, Roman Michel, Johann Weging:
The SIOX Architecture - Coupling Automatic Monitoring and Optimization of Parallel I/O. ISC 2014: 245-260 - [e2]Julian Martin Kunkel, Thomas Ludwig, Hans Werner Meuer:
Supercomputing - 29th International Conference, ISC 2014, Leipzig, Germany, June 22-26, 2014. Proceedings. Lecture Notes in Computer Science 8488, Springer 2014, ISBN 978-3-319-07517-4 [contents] - 2013
- [b1]Julian Martin Kunkel:
Simulation of Parallel Programs on Application and System Level. University of Hamburg, 2013 - [j9]Julian M. Kunkel, Thomas Ludwig, Hans Werner Meuer:
Editorial for the ISC'12 research paper sessions proceedings. Comput. Sci. Res. Dev. 28(2-3): 107-108 (2013) - [j8]Julian M. Kunkel:
Simulating parallel programs on application and system level. Comput. Sci. Res. Dev. 28(2-3): 167-174 (2013) - [j7]Nathanael Hübbe, Julian M. Kunkel:
Reducing the HPC-datastorage footprint with MAFISC - Multidimensional Adaptive Filtering Improved Scientific data Compression. Comput. Sci. Res. Dev. 28(2-3): 231-239 (2013) - [j6]Marc C. Wiedemann, Julian M. Kunkel, Michaela Zimmer, Thomas Ludwig, Michael M. Resch, Thomas Bönisch, Xuan Wang, Andriy Chut, Alvaro Aguilera, Wolfgang E. Nagel, Michael Kluge, Holger Mickler:
Towards I/O analysis of HPC systems and a generic architecture to collect access patterns. Comput. Sci. Res. Dev. 28(2-3): 241-251 (2013) - [c21]Alvaro Aguilera, Holger Mickler, Julian M. Kunkel, Michaela Zimmer, Marc C. Wiedemann, Ralph Müller-Pfefferkorn:
A Comparison of Trace Compression Methods for Massively Parallel Applications in Context of the SIOX Project. Parallel Tools Workshop 2013: 91-105 - [c20]Julian Martin Kunkel:
Using Simulation to Validate Performance of MPI(-IO) Implementations. ISC 2013: 181-195 - [c19]Nathanael Hübbe, Al Wegener, Julian Martin Kunkel, Yi Ling, Thomas Ludwig:
Evaluating Lossy Compression on Climate Data. ISC 2013: 343-356 - [c18]Michaela Zimmer, Julian Martin Kunkel, Thomas Ludwig:
Towards Self-optimization in HPC I/O. ISC 2013: 422-434 - [e1]Julian M. Kunkel, Thomas Ludwig, Hans Werner Meuer:
Supercomputing - 28th International Supercomputing Conference, ISC 2013, Leipzig, Germany, June 16-20, 2013. Proceedings. Lecture Notes in Computer Science 7905, Springer 2013, ISBN 978-3-642-38749-4 [contents] - 2012
- [j5]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) - [c17]Timo Minartz, Julian M. Kunkel, Thomas Ludwig:
Tracing and Visualization of Energy-Related Metrics. IPDPS Workshops 2012: 1023-1030 - [c16]Julian M. Kunkel, Thomas Ludwig:
IOPm - Modeling the I/O Path with a Functional Representation of Parallel File System and Hardware Architecture. PDP 2012: 554-561 - [c15]Michael Kuhn, Julian M. Kunkel, Thomas Ludwig:
Simulation-Aided Performance Evaluation of Server-Side Input/Output Optimizations. PDP 2012: 562-566 - [c14]Dirk Meister, Jürgen Kaiser, André Brinkmann, Toni Cortes, Michael Kuhn, Julian M. Kunkel:
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
- [j4]Julian M. Kunkel, Thomas Ludwig, Hans Werner Meuer:
ISC'11 research paper sessions proceedings. Comput. Sci. Res. Dev. 26(3-4): 143-144 (2011) - [c13]Michael Kuhn, Julian M. Kunkel, Yuichi Tsujita, Hidetaka Muguruma, Thomas Ludwig:
Optimizations for Two-Phase Collective I/O. PARCO 2011: 455-462 - [c12]Julian M. Kunkel, Thomas Ludwig:
Visualization of MPI(-IO) Datatypes. PARCO 2011: 473-480 - 2010
- [j3]Timo Minartz, Julian M. Kunkel, Thomas Ludwig:
Simulation of power consumption of energy efficient cluster hardware. Comput. Sci. Res. Dev. 25(3-4): 165-175 (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) - [c11]Olga Mordvinova, Dennis Runz, Julian M. Kunkel, Thomas Ludwig:
I/O performance evaluation with Parabench - programmable I/O benchmark. ICCS 2010: 2125-2134
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) - [c10]Olga Mordvinova, Julian M. Kunkel, Christian Baun, Thomas Ludwig, Marcel Kunze:
USB flash drives as an energy efficient storage alternative. GRID 2009: 175-182 - [c9]Philip H. Carns, Samuel Lang, Robert B. Ross, Murali Vilayannur, Julian M. Kunkel, Thomas Ludwig:
Small-file access in parallel file systems. IPDPS 2009: 1-11 - [c8]Yuichi Tsujita, Julian M. Kunkel, Stephan Krempel, Thomas Ludwig:
Tracing Performance of MPI-I/O with PVFS2: A Case Study of Optimization. PARCO 2009: 379-386 - [c7]Julian M. Kunkel, Yuichi Tsujita, Olga Mordvinova, Thomas Ludwig:
Tracing Internal Communication in MPI and MPI-I/O. PDCAT 2009: 280-286 - [c6]David Büttner, Julian M. Kunkel, Thomas Ludwig:
Using Non-blocking I/O Operations in High Performance Computing to Reduce Execution Times. PVM/MPI 2009: 134-142 - 2008
- [c5]Michael Kuhn, Julian M. Kunkel, Thomas Ludwig:
Directory-Based Metadata Optimizations for Small Files in PVFS. Euro-Par 2008: 90-99 - [c4]Julian M. Kunkel, Thomas Ludwig:
Bottleneck Detection in Parallel File Systems with Trace-Based Performance Monitoring. Euro-Par 2008: 212-221 - 2007
- [c3]Julian M. Kunkel, Thomas Ludwig:
Performance Evaluation of the PVFS2 Architecture. PDP 2007: 509-516 - [c2]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 - 2006
- [c1]Thomas Ludwig, Stephan Krempel, Julian M. Kunkel, Frank Panse, Dulip Withanage:
Tracing the MPI-IO Calls' Disk Accesses. PVM/MPI 2006: 322-330
Coauthor Index
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