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 the deputy head High-Performance Computing 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

Improve the Deep Learning Models in Forestry Based on Explanations and Expertise (Ximeng Cheng, Ali Doosthosseini, Julian Kunkel), 2022-05-19 BibTeX URL DOI PDF
Predicting Stock Price Changes Based on the Limit Order Book: A Survey (Ilia Zaznov, Julian Kunkel, Alfonso Dufour, Atta Badii), 2022-04-09 BibTeX URL DOI PDF
User-Centric System Fault Identification Using IO500 Benchmark (Radita Liem, Dmytro Povaliaiev, Jay Lofstead, Julian Kunkel, Christian Terboven), 2021-12-20 BibTeX URL DOI PDF
Toward a Workflow for Identifying Jobs with Similar I/O Behavior Utilizing Time Series Analysis (Julian Kunkel, Eugen Betke), 2021-11-13 BibTeX DOI PDF
Understanding I/O Behavior in Scientific and Data-Intensive Computing (Dagstuhl Seminar 21332) (Philip Carns, Julian Kunkel, Kathryn Mohror, Martin Schulz), 2021-09-14 BibTeX URL DOI PDF

Performance Analysis of Convolutional Neural Network Applying Quantum Annealing, Aasish Kumar Sharma (Master's Thesis), Advisors: Sanjeeb Prasad Pandey, 2020-12-30, BibTeX URL
The Potential of Serverless Kubernetes-Based FaaS Platforms for Scientific Computing Workloads, Jonathan Decker (Master's Thesis), Advisors: Dr. Julian Kunkel, 2022-01-31, BibTeX URL
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

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