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.

Opportunities for Integrating I/O Capabilities with Cylc (Dr. Julian Kunkel), Cylc Weather User Group; Supercomputing 2018, Dallas, USA, 2018-11-15 Presentation
Towards an HPC Certification Program (Dr. Julian Kunkel, Kai Himstedt, Nathanael Hübbe, Hinnerk Stüben, Sandra Schröder, Michael Kuhn, Stephan Olbrich, Matthias Riebisch, Thomas Ludwig, Weronika Filinger, Jean-Thomas Acquaviva, Anja Gerbes, Lev Lafayette, ), Fifth SC Workshop on Best Practices for HPC Training and Education; Supercomputing 2018, Dallas, USA, 2018-11-12 Presentation
The Virtual Institute for I/O (Dr. Julian Kunkel), BoF: The IO-500 and the Virtual Institute for I/O; Supercomputing 2018, Dallas, USA, 2018-11-14 Presentation
The HPC Certification Program (Dr. Julian Kunkel), BoF: HPC Certification Program; Supercomputing 2018, Dallas, USA, 2018-11-15 Presentation
Using Benchmarks to Understand Performance Behavior (Dr. Julian Kunkel), BoF: Analyzing Parallel I/O; Supercomputing 2018, Dallas, USA, 2018-11-13 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: 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
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: 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

Comparing Naïve Bayesian Networks to Support Vector Machines to predict Stock Prices Based on Press Release Sentiment, Max Lübbering (Master's Thesis), Advisors: Dr. Julian Kunkel, Patricio Farrell, 2018-12-04, Thesis BibTeX
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

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