CERN Accelerating science

CERN Document Server 790 records found  1 - 10próximoend  jump to record: Search took 0.91 seconds. 
1.
Energy efficiency trends in HPC: what high-energy and astrophysicists need to know / Suarez, Estela (ZEL, Julich ; Unlisted, FR ; U. Bonn (main)) ; Amaya, Jorge (ESOC, Darmstadt) ; Frank, Martin (KIT, Karlsruhe) ; Freyermuth, Oliver (Bonn U.) ; Girone, Maria (CERN) ; Kostrzewa, Bartosz (Bonn U., HISKP) ; Pfalzner, Susanne (ZEL, Julich)
The growing energy demands of HPC systems have made energy efficiency a critical concern for system developers and operators. However, HPC users are generally less aware of how these energy concerns influence the design, deployment, and operation of supercomputers even though they experience the consequences. [...]
arXiv:2503.17283.- 2025-02-19 - 25 p. - Published in : Front. Phys. 13 (2025) 1542474 Fulltext: 2503.17283 - PDF; document - PDF;
2.
A software ecosystem for multi-level provenance management in large-scale scientific workflows for AI applications / Padovani, G (Trento U.) ; Anantharaj, V (Oak Ridge) ; Sacco, L (Trento U.) ; Kurihana, T (Oak Ridge) ; Bunino, M (CERN) ; Tsolaki, K (CERN) ; Girone, M (CERN) ; Antonio, F ; Sopranzetti, C (Trento U.) ; Fronza, M (Trento U.) et al.
Scientific workflows and provenance are two faces of the same medal. While the former addresses the coordinated execution of multiple tasks over a set of computational resources, the latter relates to the historical record of data from its original sources. [...]
2024 - 8 p. - Published in : 10.1109/SCW63240.2024.00253
In : SC24-W: Workshops of the International Conference for High Performance Computing, Networking, Storage and Analysis, Atlanta, GA, USA, 17 - 22 Nov 2024, pp.2024-2031
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Not yet available
Welcome and goals of the meeting / Girone, Maria (speaker) (CERN)
2025 - 524. HPC Collaboration; HEP/HPC Strategy Meeting - All Regions External links: Talk details; Event details In : HEP/HPC Strategy Meeting - All Regions
4.
Model Performance Prediction for Hyperparameter Optimization of Deep Learning Models Using High Performance Computing and Quantum Annealing / Amboage, Juan Pablo García (CERN ; U. Santiago de Compostela (main)) ; Wulff, Eric (CERN) ; Girone, Maria (CERN) ; Pena, Tomás F. (U. Santiago de Compostela (main))
Hyperparameter Optimization (HPO) of Deep Learning-based models tends to be a compute resource intensive process as it usually requires to train the target model with many different hyperparameter configurations. We show that integrating model performance prediction with early stopping methods holds great potential to speed up the HPO process of deep learning models. [...]
arXiv:2311.17508.- 2024 - 7 p. - Published in : EPJ Web Conf. 295 (2024) 12005 Fulltext: document - PDF; 2311.17508 - PDF;
In : 26th International Conference on Computing in High Energy & Nuclear Physics, Norfolk, Virginia, Us, 8 - 12 May 2023, pp.12005
5.
Distributed hybrid quantum-classical performance prediction for hyperparameter optimization / Wulff, Eric (CERN) ; Garcia Amboage, Juan Pablo (CERN) ; Aach, Marcel (Julich, Forschungszentrum ; Iceland U.) ; Gislason, Thorsteinn Eli (Iceland U.) ; Ingolfsson, Thorsteinn Kristinn (Iceland U.) ; Ingolfsson, Tomas Kristinn (Iceland U.) ; Pasetto, Edoardo (Julich, Forschungszentrum ; RWTH Aachen U.) ; Delilbasic, Amer (Julich, Forschungszentrum ; Iceland U.) ; Riedel, Morris (Julich, Forschungszentrum ; Iceland U.) ; Sarma, Rakesh (Julich, Forschungszentrum) et al.
Hyperparameter optimization (HPO) of neural networks is a computationally expensive procedure, which requires a large number of different model configurations to be trained. To reduce such costs, this work presents a distributed, hybrid workflow, that runs the training of the neural networks on multiple graphics processing units (GPUs) on a classical supercomputer, while predicting the configurations’ performance with quantum-trained support vector regression (QT-SVR) on a quantum annealer (QA). [...]
2024 - 14 p. - Published in : Quantum Machine Intelligence 6 (2024) 59 Fulltext: PDF;
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Not yet available
Introduction to the CERN Openlab Lecture Programme / Girone, Maria (speaker) (CERN)
2024 - 591. Summer Student Lecture Programme 2024; Summer Student Lecture Programme 2024 External links: Talk details; Event details In : Summer Student Lecture Programme 2024
7.
Not yet available
Introduction to CERN openlab summer lectures programme / Girone, Maria (speaker) (CERN)
2024 - 533. CERN openlab summer student lecture programme; Welcome and introduction to CERN External links: Talk details; Event details In : Welcome and introduction to CERN
8.
Not yet available
Introduction to CERN openlab / Girone, Maria (speaker) (CERN)
2024 - 1366. CERN openlab summer student lecture programme; Welcome and introduction to CERN External links: Talk details; Event details In : Welcome and introduction to CERN
9.
RCS-ICT PSO: Access and Support for Heterogeneous, non-x86, and latest Single-architecture Chips / Wiebalck, Arne (CERN) ; Girone, Maria (CERN) ; Piparo, Danilo (CERN) ; Blomer, Jakob (CERN)
This PSO aims to establish a consistent framework and processes to express, follow, and resource the transition of a technology from "evaluate" to "in production", leveraging different accesses to non-x86 resources, such as industry collaborations, HPC testbeds, public cloud offerings, and on-premises services [...]
CERN-IT-Note-2024-001.
- 2023.
Access to fulltext
10.
Welcome / Jones, Bob (speaker) (CERN) ; Girone, Maria (speaker) (CERN)
2024 - 528. Workshops and Training; 2024 CERN openlab Technical Workshop External links: Talk details; Event details In : 2024 CERN openlab Technical Workshop

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Veja também: nomes de autores similares
238 GIRONE, M
76 Girone, M.
541 Girone, Maria
4 Girone, Mario
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