Items where Author is "Kunkel, Dr Julian"

Article

Zaznov, I., Kunkel, J. M., Badii, A. and Dufour, A. ORCID: https://orcid.org/0000-0003-0519-648X (2024) The intraday dynamics predictor: a TrioFlow Fusion of Convolutional Layers and Gated Recurrent Units for high-frequency price movement forecasting. Applied Sciences, 14 (7). 2984. ISSN 2076-3417 doi: 10.3390/app14072984

Kunkel, J., Filinger, W., Meesters, C. and Gerbes, A. (2020) The HPC certification forum: toward a globally acknowledged HPC certification. Computing in Science and Engineering, 22 (4). ISSN 1521-9615 doi: 10.1109/MCSE.2020.2996073

Kunkel, J., Jumah, N., Novikova, A., Ludwig, T., Yashiro, H., Maruyama, N., Wahib, M. and Thuburn, J. (2020) AIMES: advanced computation and I/O methods for earth-system simulations. Software for Exascale Computing - SPPEXA 2016-2019. Lectures Notes in Computational Science and Engineering (136). pp. 61-102. ISSN 1439-7358 doi: 10.1007/978-3-030-47956-5_5

Torres, R., Kunkel, J. M., Dolz, M. F. and Ludwig, T. (2019) A similarity study of I/O traces via string kernels. The Journal of Supercomputing, 75 (12). pp. 7814-7826. ISSN 0920-8542 doi: 10.1007/s11227-018-2471-x

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, 23. pp. 49-66. ISSN 2210-5379 doi: 10.1016/j.suscom.2019.04.003

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: 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 2409-6008 doi: 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: 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 2409-6008 doi: 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: 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: 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 2409-6008 doi: 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 2409-6008 doi: 10.14529/jsfi160105

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. Springer, Cham, pp. 679-690. ISBN 9783319676296 doi: 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. Springer, Cham, pp. 132-144. ISBN 9783319676296 doi: 10.1007/978-3-319-67630-2_12

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. Springer, Cham, pp. 500-512. ISBN 9783319629315 doi: 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. Springer, Cham, pp. 130-141. ISBN 9783319460796 doi: 10.1007/978-3-319-46079-6_10

Conference or Workshop Item

Betke, E. and Kunkel, J. (2020) Semi-automatic assessment of I/O behavior by inspecting the individual client-node timelines— an explorative study on 10^6 jobs. In: ISC HPC, 2020-06-21 - 2020-06-25, Frankfurt, Germany, pp. 166-184. doi: 10.1007/978-3-030-50743-5_9

Gadban, F., Kunkel, J. and Ludwig, T. (2020) Investigating the overhead of the REST protocol to reveal the potential for using cloud services for HPC storage. In: HPC I/O in the Data Center Workshop, 2020-06-21 - 2020-06-25. doi: 10.1007/978-3-030-59851-8_10 (High Performance Computing. ISC High Performance 2020. Lecture Notes in Computer Science)

Jumah, N. and Kunkel, J. (2020) Optimizing memory bandwidth efficiency with user-preferred kernel merge. In: Euro-Par 2019: Parallel Processing Workshops, 26–30 Aug 2019, Göttingen, Germany, pp. 69-81. doi: 10.1007/978-3-030-48340-1_6

Jumah, N. and Kunkel, J. (2020) Optimizing memory bandwidth efficiency with user-preferred kernel merge. In: Euro-Par 2019: Parallel Processing Workshops, 2019-08-26, Göttingen, Germany, pp. 69-81. doi: 10.1007/978-3-030-48340-1_6

Turner, A., Sloan-Murphy, D., Sivalingam, K., Richardson, H. and Kunkel, J. (2019) Analysis of parallel I/O use on the UK national supercomputing service, ARCHER using Cray's LASSi and EPCC SAFE. In: Memory Bound Computing. Cray User Group, 2019-05-05 - 2019-05-09, Montréal, Canda.

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: 10.1145/3303117.3306160

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, 2019-01-01, Washington DC, USA, pp. 1-7. doi: 10.1145/3303117.3306160