A5007867595- Particle physics theoretical and experimental studies
- High-Energy Particle Collisions Research
- Particle Detector Development and Performance
- Quantum Chromodynamics and Particle Interactions
- Dark Matter and Cosmic Phenomena
- Computational Physics and Python Applications
- Neutrino Physics Research
- Cosmology and Gravitation Theories
- Distributed and Parallel Computing Systems
- Medical Imaging Techniques and Applications
- Advanced Data Storage Technologies
- Radiation Detection and Scintillator Technologies
- Atomic and Subatomic Physics Research
- Astrophysics and Cosmic Phenomena
- Digital Radiography and Breast Imaging
- Black Holes and Theoretical Physics
- Parallel Computing and Optimization Techniques
- Cloud Computing and Resource Management
- Big Data Technologies and Applications
- Advanced X-ray and CT Imaging
- Scientific Computing and Data Management
- Superconducting Materials and Applications
University of Freiburg
2020-2025
Université Savoie Mont Blanc
2021-2024
Institut National de Physique Nucléaire et de Physique des Particules
2021-2024
A. Alikhanyan National Laboratory
2024
Atlas Scientific (United States)
2024
The University of Adelaide
2022-2023
Northern Illinois University
2023
Horia Hulubei National Institute for R and D in Physics and Nuclear Engineering
2023
Centre National de la Recherche Scientifique
2021
Abstract Increasing computing demands and concerns about energy efficiency in high-performance high-throughput are driving forces the search for more efficient ways to use available resources. Sharing resources of an underutilised cluster with a high workload increases cluster. The software COBalD/TARDIS can dynamically transparently integrate disintegrate such However, sharing also requires accounting. AUDITOR ( A cco u nting D ata Handl i ng T oolbox O pportunistic R esources) is modular...
HammerCloud (HC) is a testing service and framework for continuous functional tests, on-demand large-scale stress performance benchmarks. It checks the computing resources various components of distributed systems with realistic full-chain experiment workflows. The software was initially developed in Python 2. After support 2 discontinued 2020, migration to 3 became vital order fulfill latest security standards use new CERN Single Sign-On, which requires 3. current deployment setup based on...
The increasing computational demand in High Energy Physics (HEP) as well concerns about energy efficiency highperformance/high-throughput computing are driving forces the search for more efficient ways to utilise available resources. Since avoiding idle resources is key achieving high efficiency, an appropriate measure sharing of underutilised sites with fully occupied sites. software COBalD/TARDIS can automatically, transparently, and dynamically (dis)integrate such opportunistic manner....
<title>Abstract</title> Increasing computing demands and concerns about energy efficiency in high-performance highthroughput are driving forces the search for more efficient ways to use available resources. Sharing resources of an underutilised cluster with a high workload increases cluster. The software COBalD/TARDIS can dynamically transparently integrate disintegrate such However, sharing also requires accounting. AUDITOR (Accounting Data Handling Toolbox Opportunistic Resources) is...