High Performance Storage

Infinite Storage

Infinite Possibilities

The research group High-Performance Storage improves the capabilities of storage landscapes applying smart concepts. We speak big data analytics and high-performance computing and apply our knowledge to meet the needs of environmental modeling.

Further information about our mission.

2018-05-30: Apply today: Two PhD studentships are available and connected to our group.
Modelling Environmental Data Systems and Deep Learning Atmospheric Features
2018-04-25: The first Linux User Group meeting took place this will now become a monthly event!
2018-04-01: The research group HPS is created at Reading University. I'm thankful to the research group Scientific Computing of the Universität Hamburg of Prof. Thomas Ludwig to which I contributed many years.

PeCoH – Performance Conscious HPC: Status (Dr. Julian Kunkel, Kai Himstedt, Nathanael Hübbe, Sandra Schröder, Michael Kuhn, Hinnerk Stüben, Thomas Ludwig, Stephan Olbrich, Matthias Riebisch), 8. HPC-Status-Konferenz der Gauß-Allianz, Erlangen, Germany, 2018-10-09 Presentation
Overcoming Storage Issues of Earth-System Data with Intelligent Storage Systems (Dr. Julian Kunkel), 18th Workshop on high performance computing in meteorology, ECMWF, Reading, UK, 2018-09-27 Presentation
RD&E in Compression (Dr. Julian Kunkel), NCAS Meeting, Reading, UK, 2018-07-27
Comparison of Clang Abstract Syntax Trees using String Kernels (Raul Torres, Dr. Julian Kunkel, Manuel Dolz, Thomas Ludwig), HPCS 2018, Orleans, France, 2018-07-17 Presentation
Challenges and Opportunities for I/O (Dr. Julian Kunkel), Gung Ho Networking Meeting, Reading, UK, 2018-07-04 Presentation

A Similarity Study of I/O Traces via String Kernels (Raul Torres, Julian Kunkel, Manuel F. Dolz, Thomas Ludwig), 2018-07-03 BibTeX DOI
Poster: Performance Conscious HPC (PeCoH) - 2018 (Kai Himstedt, Nathanael Hübbe, Sandra Schröder, Hendryk Bockelmann, Michael Kuhn, Julian Kunkel, Thomas Ludwig, Stephan Olbrich, Matthias Riebisch, Markus Stammberger, Hinnerk Stüben), 2018-06-26 BibTeX URL PDF
Poster: A user-controlled GGDML Code Translation Technique for Performance Portability of Earth System Models (Nabeeh Jumah, Julian Kunkel), 2018-06-26 BibTeX URL PDF
Poster: Advanced Computation and I/O Methods for Earth-System Simulations (AIMES) (Julian Kunkel, Thomas Ludwig, Thomas Dubos, Naoya Maruyama, Takayuki Aoki, Günther Zängl, Hisashi Yashiro, Ryuji Yoshida, Hirofumi Tomita, Masaki Satoh, Yann Meurdesoif, Nabeeh Jumah, Anastasiia Novikova, Anja Gerbes), 2018-06-26 BibTeX URL PDF
Poster: The Virtual Institute for I/O and the IO-500 (Julian Kunkel, Jay Lofstead, John Bent), 2018-06-26 BibTeX URL PDF

Understanding Customer Behaviour to Optimize Product Sorting for E-Commerce Websites, Amina Voloder (Master's Thesis), Advisors: Dr. Julian Kunkel, Antonia Wrobel, 2018-08-07, Thesis BibTeX
Large-Scale Accessibility Analysis Using OpenStreetMap Data, Martin Poppinga (Master's Thesis), Advisors: Dr. Julian Kunkel, 2018-06-06, Thesis BibTeX
Vector Folding for Icosahedral Earth System Models, Jonas Tietz (Bachelor's Thesis), Advisors: Nabeeh Jumah, Dr. Julian Kunkel, 2018-03-26, Thesis BibTeX
Enabling Single Process Testing of MPI in Massive Parallel Applications, Tareq Kellyeh (Master's Thesis), Advisors: Dr. Julian Kunkel, Christian Hovy, 2018-03-20, Thesis BibTeX
Modeling and Performance Prediction of HDF5 data on Objectstorage, Roman Jerger (Master's Thesis), Advisors: Dr. Julian Kunkel, Jakob Lüttgau, 2018-03-15, Thesis BibTeX

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