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Items where Author is "Kunkel, Dr Julian"

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Number of items: 29.

Article

Kunkel, J. M., Shoukourian, H., Heidari, R. and Wilde, T. (2019) Interference of billing and scheduling strategies for energy and cost savings in modern data centers. Sustainable Computing: Informatics and Systems. ISSN 2210-5379 doi: https://doi.org/10.1016/j.suscom.2019.04.003 (In Press)

Kunkel, J., Himstedt, K., Hübbe, N., Stüben, H., Schröder, S., Kuhn, M., Riebisch, M., Olbrich, S., Ludwig, T., Filinger, W., Acquaviva, J.-T., Gerbes, A. and Lafayette, L. (2019) Towards an HPC certification program. Journal of Computational Science Education, 10 (1). pp. 88-89. ISSN 2153-4136 doi: https://doi.org/10.22369/issn.2153-4136/10/1/14

Torres, R., Kunkel, J. M., Dolz, M. F. and Ludwig, T. (2018) A similarity study of I/O traces via string kernels. The Journal of Supercomputing. ISSN 0920-8542 doi: https://doi.org/10.1007/s11227-018-2471-x

Kunkel, J. and Dolz, M. F. (2018) Understanding hardware and software metrics with respect to power consumption. Sustainable Computing: Informatics and Systems, 17. pp. 43-54. ISSN 2210-5379 doi: https://doi.org/10.1016/j.suscom.2017.10.016

Lüttgau, J., Kuhn, M., Duwe, K., Alforov, Y., Betke, E., Kunkel, J. and Ludwig, T. (2018) Survey of storage systems for high-performance computing. Supercomputing Frontiers and Innovations, 5 (1). ISSN 2313-8734 doi: https://doi.org/10.14529/jsfi180103

Jumah, N., Kunkel, J. M., Zängl, G., Yashiro, H., Dubos, T. and Meurdesoif, T. (2017) GGDML: icosahedral models language extensions. Journal of Computer Science Technology Updates, 4 (1). pp. 1-10. ISSN 2410-2938 doi: https://doi.org/10.15379/2410-2938.2017.04.01.01

Kunkel, J. M., Novikova, A. and Betke, E. (2017) Towards decoupling the selection of compression algorithms from quality constraints – an investigation of lossy compression efficiency. Supercomputing Frontiers and Innovations, 4 (4). pp. 17-33. ISSN 2313-8734 doi: https://doi.org/10.14529/jsfi170402

Dolz, M. F., Kunkel, J., Chasapis, K. and Catalán, S. (2016) An analytical methodology to derive power models based on hardware and software metrics. Computer Science - Research and Development, 31 (4). pp. 165-174. ISSN 1865-2034 doi: https://doi.org/10.1007/s00450-015-0298-8

Kunkel, J. M. (2016) Analyzing data properties using statistical sampling: illustrated on scientific file formats. Supercomputing Frontiers and Innovations, 3 (3). pp. 34-39. ISSN 2409-6008 doi: https://doi.org/10.14529/jsfi160304

Schmidt, J. F. and Kunkel, J. M. (2016) Predicting I/O performance in HPC using artificial neural networks. Supercomputing Frontiers and Innovations, 3 (3). pp. 19-33. ISSN 2313-8734 doi: https://doi.org/10.14529/jsfi160303

Kuhn, M., Kunkel, J. M. and Ludwig, T. (2016) Data compression for climate data. Supercomputing Frontiers and Innovations, 3 (1). pp. 75-94. ISSN 2313-8734 doi: https://doi.org/10.14529/jsfi160105

Kunkel, J. M., Aguilera, A., Hübbe, N., Wiedemann, M. and Zimmer, M. (2015) Monitoring energy consumption with SIOX. Computer Science - Research and Development, 30 (2). pp. 125-133. ISSN 1865-2034 doi: https://doi.org/10.1007/s00450-014-0271-y

Kunkel, J. M., Kuhn, M. and Ludwig, T. (2014) Exascale storage systems: an analytical study of expenses. Supercomputing Frontiers and Innovations, 1 (1). pp. 116-134. ISSN 2409-6008 doi: https://doi.org/10.14529/jsfi140106

Book or Report Section

Kunkel, J. and Betke, E. (2017) An MPI-IO In-Memory driver for non-volatile pooled memory of the Kove XPD. In: Kunkel, J., Yokota, R., Taufer, M. and Shalf, J. (eds.) High Performance Computing. Lecture Notes in Computer Science, 10524 (10524). Springer, Cham, pp. 679-690. ISBN 9783319676296 doi: https://doi.org/10.1007/978-3-319-67630-2_48

Luettgau, J. and Kunkel, J. (2017) Simulation of hierarchical storage systems for TCO and QoS. In: Kunkel, J., Yokota, R., Taufer, M. and Shalf, J. (eds.) High Performance Computing. Lecture Notes in Computer Science, 10524 (10524). Springer, Cham, pp. 132-144. ISBN 9783319676296 doi: https://doi.org/10.1007/978-3-319-67630-2_12

Kunkel, J., Novikova, A., Betke, E. and Schaare, A. (2017) Toward decoupling the selection of compression algorithms from quality constraints. In: Kunkel, J. M., Yokota, R., Taufer, M. and Shalf, J. (eds.) High Performance Computing. Lecture Notes in Computer Science (10524). Springer, pp. 3-14. ISBN 9783319676296 doi: https://doi.org/10.1007/978-3-319-67630-2_1

Torres, R., Kunkel, J. M., Dolz, M. F. and Ludwig, T. (2017) A novel string representation and kernel function for the comparison of I/O access patterns. In: Malyshkin, V. (ed.) Parallel Computing Technologies: 14th International Conference, PaCT 2017, Nizhny Novgorod, Russia, September 4-8, 2017, Proceedings. Lecture Notes in Computer Science, 10421 (10421 2017). Springer, Cham, pp. 500-512. ISBN 9783319629315 doi: https://doi.org/10.1007/978-3-319-62932-2_48

Kunkel, J. M. (2016) Analyzing data properties using statistical sampling techniques – illustrated on scientific file formats and compression features. In: Taufer, M., Mohr, B. and Kunkel, J. (eds.) High Performance Computing. Lecture Notes in Computer Science, 9945. Springer, Cham, pp. 130-141. ISBN 9783319460796 doi: https://doi.org/10.1007/978-3-319-46079-6_10

Kunkel, J., Zimmer, M. and Betke, E. (2015) Predicting performance of non-contiguous I/O with machine learning. In: Kunkel, J. M. and Ludwig, T. (eds.) High Performance Computing. Lecture Notes in Computer Science (9137). Springer, pp. 257-273. ISBN 9783319201184 doi: https://doi.org/10.1007/978-3-319-20119-1_19

Kunkel, J. M., Zimmer, M., Hübbe, N., Aguilera, A., Mickler, H., Wang, X., Chut, A., Bönisch, T., Lüttgau, J., Michel, R. and Weging, J. (2014) The SIOX architecture – coupling automatic monitoring and optimization of parallel I/O. In: Kunkel, J. M., Ludwig, T. and Meuer, H. W. (eds.) Supercomputing. Lecture Notes in Computer Science (8488). Springer, pp. 245-260. ISBN 9783319075174 doi: https://doi.org/10.1007/978-3-319-07518-1_16

Conference or Workshop Item

Jumah, N. and Kunkel, J. (2019) Automatic vectorization of stencil codes with the GGDML language extensions. In: Workshop on Programming Models for SIMD/Vector Processing, 2019/02/16, Washington DC, USA, pp. 1-7. doi: https://doi.org/10.1145/3303117.3306160

Jum'ah, N. and Kunkel, J. (2019) Performance portability of Earth system models with user-controlled GGDML code translation. In: Third International Workshop on Performance Portable Programming Models for Accelerators, 24-28 June 2018, Frankfurt, Germany, pp. 693-710. (ISBN 9783030024642)

Betke, E. and Kunkel, J. (2018) Benefit of DDN's IME-FUSE for I/O intensive HPC applications. In: Workshop on Performance and Scalability of Storage Systems, 24-28 June 2018, Frankfurt, Germany, pp. 131-144. (ISBN 9783030024642)

Torres, R., Kunkel, J. M., Dolz, M. F. and Ludwig, T. (2018) Comparison of Clang Abstract Syntax Trees using string kernels. In: CADO 2018, 16-20 July, Orleans, France, pp. 106-113.

Lüttgau, J. and Kunkel, J. (2018) Cost and performance modeling for Earth system data management and beyond. In: HPC I/O in the Data Center Workshop, 24-28 June 2018, Frankfurt, Germany, pp. 23-35. (ISBN 9783030024642)

Kunkel, J. M., Betke, E., Bryson, M., Carns, P., Francis, R., Frings, W., Laifer, R. and Mendez, S. (2018) Tools for analyzing parallel I/O. In: HPC I/O in the Data Center Workshop, 24-28 June 2018, Frankfurt, Germany, pp. 49-70. (ISBN 9783030024642)

Lüttgau, J., Snyder, S., Carns, P., Wozniak, J. M., Kunkel, J. and Ludwig, T. (2018) Toward understanding I/O behavior in HPC workflows. In: PDSW-DISCS, 12 November 2018, Dallas, Texas, pp. 64-75.

Alforov, Y., Novikova, A., Kuhn, M., Kunkel, J. and Ludwig, T. (2018) Towards green scientific data compression through high-level I/O interfaces. In: SBAC-PAD 2018, 24-27 September, Lyon, France, pp. 209-216.

Kunkel, J. M. and Markomanolis, G. S. (2018) Understanding metadata latency with MDWorkbench. In: Workshop on Performance and Scalability of Storage Systems, 24-28 June 2018, Frankfurt, Germany, pp. 75-88. (ISBN 9783030024642)

This list was generated on Wed May 22 17:24:18 2019 UTC.

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