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

• 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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• Smarter Management using Metadata and Workflow Expertise (Dr. Julian Kunkel), BoF: Knowledge Is Power: Unleashing the Potential of Your Archives Through Metadata, Supercomputing, Denver, USA, 2019-11-21 Presentation
• Tracking User-Perceived I/O Slowdown via Probing (Dr. Julian Kunkel), BoF: Analyzing Parallel I/O, Supercomputing, Denver, USA, 2019-11-20 Presentation
• IO500 (George Markomanolis, John Bent, Dr. Julian Kunkel, Jay Lofstead), BoF: The IO500 and The Virtual Institute of I/O, Supercomputing, Denver, USA, 2019-11-19 Presentation
• The Virtual Institute of I/O (Dr. Julian Kunkel), BoF: The IO500 and The Virtual Institute of I/O, Supercomputing, Denver, USA, 2019-11-19 Presentation
• Exploiting Different Storage Types with the Earth-System Data Middleware (Dr. Julian Kunkel), Parallel Data Systems Workshop, Supercomputing, Denver, USA, 2019-11-18 Presentation

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• 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
• Contributing HPC Skills to the HPC Certification Forum (Julian Kunkel, Kai Himstedt, Weronika Filinger, Jean-Thomas Acquaviva, Anja Gerbes, Lev Lafayette), 2020-01 BibTeX URL DOI PDF
• One Year HPC Certification Forum in Retrospective (Julian Kunkel, Jean-Thomas Acquaviva, Kai Himstedt, Weronika Filinger, Anja Gerbes, Lev Lafayette), 2020-01 BibTeX URL DOI PDF
• Scalable Parallelization of Stencils using MODA (Nabeeh Jumah, Julian Kunkel), 2019-12-03 BibTeX URL DOI PDF
• Footprinting Parallel I/O – Machine Learning to Classify Application’s I/O Behavior (Eugen Betke, Julian Kunkel), 2019-12-03 BibTeX URL DOI 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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