Dr. Stephan Hachinger
Team Lead Research Data Management
Teamleiter Forschungsdatenmanagement
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Leibniz Supercomputing Centre (LRZ)
of the Bavarian Academy of Sciences and Humanities (BAdW)
Research Unit / Forschung
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Address: |
Stephan Hachinger
Leibniz-Rechenzentrum
Boltzmannstr. 1
85748 Garching b. München
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Projects and collaborations
At LRZ, the Research Data Management (FDM/RDM) team is working with local and international collaborators mainly on projects focused on FAIR RDM, often immersed in a context of environmental sciences, high-performance computing and IT infrastructure.
Current main projects my team and I are involved in:
- EXA4MIND (EXtreme Analytics for MINing Data spaces, Horizon Europe, GA No. 101092944)
- Science and Co-Design Manager, helping with:
- co-design of a set of services/tools to analyse and mine Extreme Data at Europe's strongest supercopmuting centres,
- bridging the gaps between the "database world", the "supercomputing world" and the "data spaces & FAIR data world" (European Data Spaces, EUDAT, EOSC), and
- enabling efficient data analytics and automatised Big Data workflows, leveraging the experience from LEXIS (see below).
- Helping with LRZ contributions, in particular on the data management side.
- CRC/TRR 356 (Transregio "Genetic diversity shaping biotic interactions of plants (PlantMicrobe)", DFG)
- One of three subproject PIs for the IT-Infrastructure subproject, which is on ...
- ... enabling FAIR data in a huge collaboration with biologists by ...
- ... setting up a RDM system for data analysis in *omics, imaging and beyond.
- NFDI4Earth (NFDI Consortium Earth System Sciences, DFG/Bund-Länder)
- OpenWebSearch.eu (Piloting a Cooperative Open Web Search Infrastructure to Support Europe's Digital Sovereignty, Horizon Europe, GA No. 101070014)
- Helping to organise data and workflow management, leveraging experience from LEXIS (see below).
- Helping to organise infrastructure contributions of LRZ to the project.
- InHPC-DE Extension Proposal (Integration der
nationalen Höchstleistungsrechenzentren Deutschlands, BMBF)
- Organising metadata management activities in AP2 (Datenmanagement) in collaboration with partners.
- Organising respective LRZ activities.
- LTDS (Let the Data Sing), LRZ-internal project to set up RDM service components, leveraging the experience from all our collaboration projects.
- Definition of requirements and strategy to meet them.
- Managing administrative parts of project.
- Occasional support with technical management of project.
First-author publications available online:
- Hachinger S. et al.: Leveraging High-Performance Computing and Cloud Computing with Unified Big-Data Workflows: The LEXIS Project. In: Curry, E., Auer, S., Berre, A.J., Metzger, A., Perez, M.S., and Zillner, S. (eds.): Technologies and Applications for Big Data Value, Springer, Cham, 2022, pp. 159-180
- Hachinger S. et al.: HPC-Cloud-Big Data Convergent Architectures and Research Data Management: The LEXIS Approach. In: Aida, K., et al. (eds.): Challenges in High Performance Data Analytics: Combining Approaches in HPC, HTC, Big Data and AI, International Symposium on Grids & Clouds 2021 (ISGC 2021), 2021, Proceedings of Science, 378, 004
Projects I have been involved in:
- LEXIS (Large Scale Execution for Industry and Society, EU H2020 Grant #825532 - creation of the LEXIS platform)
- Lead of Work Package 3 (LEXIS Data System) - development of LEXIS's approach to distributed data management.
- Coordination of LRZ activities in LEXIS.
- AlpEnDAC and BioClis (Alpine Environmental Data Analysis Centre / Virtual Alpine Observatory, Bio-Climatic Information System)
- Computing on Demand (CoD): Simulations (particle transport, etc. on the LRZ Compute Cloud)
as a "on-click" service in the AlpEnDAC portal.
- Design and maintenance of the AlpEnDAC software stack on the LRZ Compute Cloud,
including optimisation/parallelisation of the simulation codes used for CoD.
- Set-up of semi-operational simulation workflows of weather and air-mass transport (air quality) in the context of the BioClis project and AlpEnDAC.
- Concept and maintenance of the AlpEnDAC iRODS system for distributed data/metadata management within the AlpEnDAC.
- Consulting and dissemination, conferences, co-design of follow-up projects.
- ViWA (Virtual Water Values)
- Data Management for ViWA.
- Porting of the PROMET land-use/hydrology model (Mauser & Bach 2009) to massively parallel LRZ systems.
- Optimisation of PROMET for LRZ systems (e.g. for MPI-parallel runs).
- COMPAT (Computing Patterns for High Performance Multiscale Computing)
- Maintenance of grid-computing infrastructure.
- Support with LRZ systems.
- VERCE (Virtual Earthquake and Seismology Research Community in Europe)
- Monitoring and maintenance of grid-computing infrastructure.
- Support with tutorials.
Teams at LRZ:
- RDM Team (Research Data Management Team, within LRZ's Research Department) - coordinated by me
- Harmonisation of RDM efforts (AlpEnDAC, GeRDI, ...) LRZ is involved in together with colleagues.
- Dissemination, consulting, proposal writing, competence building.
- Environmental Computing Team (within LRZ's Research Department)
- Project activities (AlpEnDAC, BioClis, ViWA, etc.) - coordination with colleagues.
- Dissemination and proposal writing.
- Application Labs (AstroLab, GeoLab)
- Helping with customer support on application porting/optimisation.
- Helping with organisational contributions.
Important further collaborations of mine:
A blast from the past: my research in astrophysics
I have worked on exploding stars (supernovae, SNe) for a couple of years - more specifically, on transport phenomena of the emergent radiation:
- Type I supernova radiative transfer simulations
- Type Ia supernovae: analysis of the ejecta (density profile/abundances) from observed spectra. This gives hints on how these SNe explode, and what the progenitor stars are.
- Type Ib/Ic/IIb supernovae: analysis of the H/He envelope from observed spectra - determination of H and He masses and of the outer density profile.
- Radiative transfer / NLTE plasma state solvers which you need for these.
Here you can have a look at some of that work using the NASA Astrophysics Data System:
- Hachinger S. et al.: Type Ia supernovae with and without blueshifted narrow Na I D lines -
how different is their structure?, 2017, MNRAS, 471, 491
- Hachinger S. et al.: The UV/optical spectra of the Type Ia supernova SN 2010jn: a bright
supernova with outer layers rich in iron-group elements, 2013, MNRAS, 429, 2228
- Hachinger S., Mazzali P. A., Taubenberger S., Fink M., Pakmor R., Hillebrandt W., Seitenzahl, I. R.: Spectral modelling of the "super-Chandrasekhar" Type Ia SN 2009dc: testing a 2-solar-mass white dwarf explosion model and alternatives, 2012, MNRAS, 427, 2057
- Hachinger S. et al.: How much H and He is "hidden" in SNe Ib/c? I. - low-mass objects,
2012, MNRAS, 422, 70
- Hachinger S., Mazzali P. A., Taubenberger S., Pakmor R., Hillebrandt W.: Spectral analysis
of the 91bg-like Type Ia SN 2005bl: low luminosity, low velocities, incomplete burning,
2009, MNRAS, 399, 1238
- Hachinger S., Mazzali P. A., Tanaka M., Hillebrandt W., Benetti S.: Spectral luminosity indicators in Type Ia supernovae. Understanding the R(Si II) line-strength ratio and beyond, 2008, MNRAS, 389, 1087
- Hachinger S., Mazzali P. A., Benetti S.: Exploring the spectroscopic diversity of
Type Ia supernovae, 2006, MNRAS, 370, 299
Legal notice
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