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 HPS group is tightly integrated into the GWDG AG Computing group with more than 25 people.

• 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

• HPC-IODC: HPC I/O in the Data Center Workshop
• BoF: Large-Scale Data Management with Data Lakes
• BoF: International HPC Certification Program
• BoF: The IO500 and the Virtual Institute of I/O
• LLVM-CTH: The Third Workshop on LLVM Compiler and Tools for HPC
• Minisymposium: Leveraging Data Lakes to Manage and Process Scientific Data
• BoF: Analyzing Parallel I/O

• Email security with Postfix/DKIM/DMARC on Ubuntu 20.04 (2020-07-20 11:56)
• Green screen remover (2018-05-01 20:57)
• Impact of KPTI on the IO-500 for DKRZ (2018-01-23 10:58)
• Fine grained Impact of KPTI on HPC nodes I/O performance (2018-01-23 10:40)
• Impact of KPTI on HPC storage performance (2018-01-19 18:06)

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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• 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

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• Performance Evaluation of Open-Source Serverless Platforms for Kubernetes (Jonathan Decker, Piotr Kasprzak, Julian Kunkel), 2022-06-02 BibTeX URL DOI PDF
• Road Intersection Coordination Scheme for Mixed Traffic (Human-Driven and Driverless Vehicles): A Systematic Review (Ekene F. Ozioko, Julian Kunkel, Frederic Stahl), 2022-05-30 BibTeX DOI PDF
• 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
• Some comparative results concerning the Grundy and b-chromatic number of graphs (Zoya Masih, Manouchehr Zaker), 2022-01-15 BibTeX URL DOI PDF

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• On comparative results concerning the Grundy and b-chromatic number of graphs, Zoya Masih (PhD Thesis), Advisors: Manouchehr Zaker, 2021-10-12, BibTeX
• Gröbner bases and combinatorics for binary codes, Zoya Masih (Master's Thesis), Advisors: Hossein Sabzrou, 2014-09-21, BibTeX
• 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

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