Cristina Manzano

ORCID: 0000-0003-1775-6165
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About
Contact & Profiles
Research Areas
  • Advanced Data Storage Technologies
  • Distributed and Parallel Computing Systems
  • Parallel Computing and Optimization Techniques
  • Scientific Computing and Data Management
  • Distributed systems and fault tolerance
  • Reservoir Engineering and Simulation Methods
  • Data Quality and Management
  • Service-Oriented Architecture and Web Services

Forschungszentrum Jülich
2013-2023

The wide variety of scientific user communities work with data since many years and thus have already a infrastructures in production today. aim this paper is not to create one new general architecture that would fail be adopted by each any individual community. Instead contribution aims design reference model abstract entities able federate existing concrete under umbrella. A an framework for understanding significant relationships between them helps understand when comparing terms...

10.1186/1869-0238-4-1 article EN cc-by-nc Journal of Internet Services and Applications 2013-01-01

High Performance Computing (HPC) systems are among the most energy-intensive scientific facilities, with electric power consumption reaching and often exceeding 20 Megawatts per installation. Unlike other major infrastructures such as particle accelerators or high-intensity light sources, which few around world, number size of supercomputers continuously increasing. Even if every new system generation is more energy efficient than previous one, overall growth in HPC infrastructure, driven by...

10.3389/fhpcp.2025.1520207 article EN cc-by Frontiers in High Performance Computing 2025-02-19

High-Performance Computing (HPC) systems are among the most energy-intensive scientific facilities, with electric power consumption reaching and often exceeding 20 megawatts per installation. Unlike other major infrastructures such as particle accelerators or high-intensity light sources, which few around world, number size of supercomputers continuously increasing. Even if every new system generation is more energy efficient than previous one, overall growth in HPC infrastructure, driven by...

10.48550/arxiv.2411.16204 preprint EN arXiv (Cornell University) 2024-11-25

The PUNCH4NFDI consortium brings together scientists from the German particle physics, hadron and nuclear astronomy, astro-particle physics communities to improve management (re-)use of scientific data these interrelated communities. PUNCH sciences have a long tradition building large instruments that are planned, constructed operated by international collaborations. While collaborations typically employ advanced tools for distribution, smaller-scale experiments often suffer very limited...

10.52825/cordi.v1i.261 article EN cc-by Proceedings of the Conference on Research Data Infrastructure 2023-09-07
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