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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• Poster: Predictive Maintenance in Server Farms with Time Series Analysis (Michael Bidollahkhani, Julian Kunkel), Sep 9, 2024 BibTeX URL PDF
• HOSHMAND: Accelerated AI-Driven Scheduler Emulating Conventional Task Distribution Techniques for Cloud Workloads (Michael Bidollahkhani, Aasish Kumar Sharma, Julian Kunkel), 2024-07 BibTeX
• Poster: Deployment of an HPC-Accelerated Research Data Management System: Exemplary Workflow in HeartAndBrain Study (V. Telzki, H. tom Wörden, F. Spreckelsen, Hendrik Nolte, Julian Kunkel, U. Parlitz, S. Luther, M. Uecker, M. Bähr), 2024-02-29 BibTeX URL PDF
• Distracted AI: Integrating Neuroscience-Inspired Attention and Distraction Learning in ANN (Michael Bidollahkhani, M. Raahemi, P. Haskul), 2024-02 BibTeX DOI
• Comparing Fault-tolerance in Kubernetes and Slurm in HPC Infrastructure (Mirac Aydin, Michael Bidollahkhani, Julian Kunkel), 2024 BibTeX URL

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• Running Kubernetes Workloads on Rootless HPC Systems using Slurm, Sören Metje (Master's Thesis), Advisors: Prof. Dr. Julian Kunkel, Stefanie Mühlhausen, 2023-12, BibTeX URL
• An HPC FaaS Runtime based on HPX and Modern Lightweight Isolation, Jakob Hördt (Master's Thesis), Advisors: Prof. Dr. Julian Kunkel, Sven Bingert, 2023-09, BibTeX URL
• Enhancing Tree Segmentation in Large Forest Point Clouds with Synthetic Data, Ali Doosthosseini (Master's Thesis), Advisors: Prof. Dr. Julian Kunkel, Prof. Dr. Alexander Ecker, 2023-09, BibTeX
• Implementation of a Liquid Neural Network Control System for Multi-Join Cyber Physical ARM, Michael Bidollahkhani (Master's Thesis), Advisors: Ferhat Atasoy, Abdellatef Hamdan, 2023-06, BibTeX
• Interactive Data Center Digital Twin using Virtual Reality, Lars Quentin (Bachelor's Thesis), Advisors: Dr. Julian Kunkel, 2022-12-15, Thesis BibTeX

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