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.

2021-06-01: Julian is now Professor in High-Performance Computing at the Georg-August-Universität Göttingen and one of the co-directors at the GWDG.
2020-09-30: Julian is guest editor of the special issue “High-Performance Computing Algorithms and their Applications 2021” in MDPI's journal Algorithms
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

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

Data at Scale in ESiWACE: Progress of WP4 (Bryan Lawrence, Dr. Julian Kunkel), ESiWACE Annual General Assembly, Virtual, 2021-09-27 Presentation
Input/Output and Middleware (Dr. Julian Kunkel), Summer School on Effective HPC for Climate and Weathe, Virtual, 2021-08-23 Presentation Video
Lifting the user I/O abstraction to workflow level a possibility or in vain? (Dr. Julian Kunkel), Dagstuhl Seminar, Schloß Dagstuhl, 2021-08-16 Presentation
Data Systems at Scale in Climate and Weather (Dr. Julian Kunkel), Hidalgo Workshop, Virtual, 2021-07-09 Presentation
A Workflow for Identifying Jobs with Similar I/O Behavior Utilizing Time Series Analysis (Dr. Julian Kunkel), HPC IODC Workshop, Virtual, 2021-07-02 Presentation

User-Centric System Fault Identification Using IO500 Benchmark (Radita Liem, Dmytro Povaliaiev, Jay Lofstead, Julian Kunkel, Christian Terboven), To appear BibTeX URL PDF
Toward a Workflow for Identifying Jobs with Similar I/O Behavior Utilizing Time Series Analysis (Julian Kunkel, Eugen Betke), To appear BibTeX PDF
Analyzing the Performance of the S3 Object Storage API for HPC Workloads (Frank Gadban, Julian Kunkel), 2021-09-14 BibTeX URL DOI PDF
A Workflow for Identifying Jobs with Similar I/O Behavior Utilizing Time Series Analysis (Julian Kunkel, Eugen Betke), 2021-08-09 BibTeX URL DOI PDF
Classifying Temporal Characteristics of Job I/O Using Machine Learning Techniques (Eugen Betke, Julian Kunkel), 2021-01-29 BibTeX URL DOI PDF

Open source vehicle ECU diagnostics and testing platform, Ashcon Mohseninia (Bachelor's Thesis), Advisors: Dr. Julian Kunkel, 2021-04-29, Thesis BibTeX
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

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