High-Performance Storage

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.

The virtual research group connects members from the Department of Computer Science of the University of Reading, the DKRZ, and the Scientific Computing Group of the University of Hamburg; it tightly collaborates with the research group Advanced Computing for Environmental Science (ACES).

• 2019-09-08: Listen to the Radio Free HPC podcast with the IO-500 team
• 2019-08-25: BCS interview: Inside the Open Source Community
• 2019-07-23: Today our new wordcloud with search functionality is live, check it out below!
• 2019-07-19: Apply today for a 3-year PostDoc position for developing next generation of storage solutions for earth-science
• 2019-06-20: NVIDIA announces our collaboration as part of the NVIDIA AI Technology Center
• 2019-05-27: The HPC Vision document to which we contributed is online
• 2019-01-10: Apply today for a short term PostDoc position for developing next generation of storage solutions for earth-science
• 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.

• Summer School on Effective HPC for Climate and Weather
• HPC-IODC: HPC I/O in the Data Center Workshop
• LLVM-CTH: The First Workshop on LLVM Compiler and Tools for HPC
• Workshop on Storage Challenges in the UK

• 2020-07-20: Email security with Postfix/DKIM/DMARC on Ubuntu 20.04
• 2018-05-01: Green screen remover
• 2018-01-23: Impact of KPTI on the IO-500 for DKRZ
• 2018-01-23: Fine grained Impact of KPTI on HPC nodes I/O performance
• 2018-01-19: Impact of KPTI on HPC storage performance

Explore our research using the power of machine learning, click on a keyword to see relevant documents.

• ESiWACE2
• Bull I/O cooperation

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• Welcome to the Summer School on Effective HPC for Climate and Weather (Dr. Julian Kunkel), BCS Open Source Specialist Group Meeting, Virtual, 2020-08-24 Presentation Video
• Welcome to the HPC IODC workshop (Dr. Julian Kunkel), HPC IODC Workshop, Virtual, 2020-06-25 Presentation Video
• Data Systems at Scale in Climate and Weather: Activities in the ESiWACE Project (Dr. Julian Kunkel), HPC IODC Workshop, Virtual, 2020-06-25 Presentation Video
• Open Source Software for Scientific and Parallel Computing (Dr. Julian Kunkel), BCS Open Source Specialist Group Meeting, Virtual, 2020-06-11 Presentation Video
• Data-Centric IO: Potential for Climate/Weather (Dr. Julian Kunkel), 6th ENES HPC Workshop, Virtual/Hamburg, Germany, 2020-05-29 Presentation

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• AIMES: Advanced Computation and I/O Methods for Earth-System Simulations (Julian Kunkel, Nabeeh Jumah, Anastasiia Novikova, Thomas Ludwig, Hisashi Yashiro, Naoya Maruyama, Mohamed Wahib, John Thuburn), 2020-07-31 BibTeX DOI PDF
• The HPC Certification Forum: Toward a Globally Acknowledged HPC Certification (Julian Kunkel, Weronika Filinger, Christian Meesters, Anja Gerbes), 2020-07 BibTeX URL DOI PDF
• Investigating the Overhead of the REST Protocol to Reveal the Potential for Using Cloud Services for HPC Storage (Frank Gadban, Julian Kunkel, Thomas Ludwig), 2020-06 BibTeX PDF
• The Importance of Temporal Behavior when Classifying Job IO Patterns Using Machine Learning Techniques (Eugen Betke, Julian Kunkel), 2020-06 BibTeX PDF
• Semi-automatic Assessment of I/O Behavior by Inspecting the Individual Client-Node Timelines – An Explorative Study on 10^6 Jobs (Eugen Betke, Julian Kunkel), 2020-06 BibTeX PDF

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• Beamer Slide Composition, Joseph Dyer (Bachelor's Thesis), Advisors: Dr. Julian Kunkel, 2019-06-09, Thesis BibTeX
• Recognition of Company Mergers Using Interactive Labeling and Machine Learning Methods, Anne Lorenz (Bachelor's Thesis), Advisors: Dr. Julian Kunkel, Doris Birkefeld, 2019-05-08, Thesis BibTeX
• Accessibility Assistance for the Interactive Navigation of Texts, Imad Hamoumi (Master's Thesis), Advisors: Patricio Farrell, Dr. Julian Kunkel, 2019-01-28, Thesis BibTeX
• Entwicklung eines computergesteuerten Akteurs für das kooperative Spielen in einem dyadischen Geschicklichkeitsspiel, Melanie Budde (Bachelor's Thesis), Advisors: Dr. Julian Kunkel, 2019-01-17, Thesis BibTeX
• 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

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