Literatura académica sobre el tema "Calcul haut performance"
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Artículos de revistas sobre el tema "Calcul haut performance"
Sraïri, M. T., S. Chergui, H. Igueld y Y. Sannito. "Performances des exploitations laitières familiales au Maroc : arguments pour l’amélioration du prix du lait à la ferme et de l’appui technique". Revue d’élevage et de médecine vétérinaire des pays tropicaux 67, n.º 4 (2 de octubre de 2015): 183. http://dx.doi.org/10.19182/remvt.20560.
Texto completoAdmin - JAIM, SIDIBE Seydou, PERAZZINI Chiara, KINKPE Charles y BOYER Louis. "Performance de l’IRM bas champ dans la rupture du Ligament Croisé Antérieur du genou." Journal Africain d'Imagerie Médicale (J Afr Imag Méd). Journal Officiel de la Société de Radiologie d’Afrique Noire Francophone (SRANF). 13, n.º 2 (17 de noviembre de 2021). http://dx.doi.org/10.55715/jaim.v13i2.226.
Texto completoTesis sobre el tema "Calcul haut performance"
Mena, morales Valentin. "Approche de conception haut-niveau pour l'accélération matérielle de calcul haute performance en finance". Thesis, Ecole nationale supérieure Mines-Télécom Atlantique Bretagne Pays de la Loire, 2017. http://www.theses.fr/2017IMTA0018/document.
Texto completoThe need for resources in High Performance Computing (HPC) is generally met by scaling up server farms, to the detriment of the energy consumption of such a solution. Accelerating HPC application on heterogeneous platforms, such as FPGAs or GPUs, offers a better architectural compromise as they can reduce the energy consumption of a deployed system. Therefore, a change of programming paradigm is needed to support this heterogeneous acceleration, which trickles down to an increased level of programming complexity tackled by software experts. This is most notably the case for developers in quantitative finance. Applications in this field are constantly evolving and increasing in complexity to stay competitive and comply with legislative changes. This puts even more pressure on the programmability of acceleration solutions. In this context, the use of high-level development and design flows, such as High-Level Synthesis (HLS) for programming FPGAs, is not enough. A domain-specific approach can help to reach performance requirements, without impairing the programmability of accelerated applications.We propose in this thesis a high-level design approach that relies on OpenCL, as a heterogeneous programming standard. More precisely, a recent implementation of OpenCL for Altera FPGA is used. In this context, four main contributions are proposed in this thesis: (1) an initial study of the integration of hardware computing cores to a software library for quantitative finance (QuantLib), (2) an exploration of different architectures and their respective performances, as well as the design of a dedicated architecture for the pricing of American options and their implied volatility, based on a high-level design flow, (3) a detailed characterization of an Altera OpenCL platform, from elemental operators, memory accesses, control overlays, and up to the communication links it is made of, (4) a proposed compilation flow that is specific to the quantitative finance domain, and relying on the aforementioned characterization and on the description of the considered financial applications (option pricing)
Pasca, Bogdan Mihai. "Calcul flottant haute performance sur circuits reconfigurables". Phd thesis, Ecole normale supérieure de lyon - ENS LYON, 2011. http://tel.archives-ouvertes.fr/tel-00654121.
Texto completoBoyer, Alexandre. "Contributions to Computing needs in High Energy Physics Offline Activities : Towards an efficient exploitation of heterogeneous, distributed and shared Computing Resources". Electronic Thesis or Diss., Université Clermont Auvergne (2021-...), 2022. http://www.theses.fr/2022UCFAC108.
Texto completoPushing the boundaries of sciences and providing more advanced services to individuals and communities continuously demand more sophisticated software, specialized hardware, and a growing need for computing power and storage. At the beginning of the 2020s, we are entering a heterogeneous and distributed computing era where resources will be limited and constrained. Grid communities need to adapt their approach: (i) applications need to support various architectures; (ii) workload management systems have to manage various computing paradigms and guarantee a proper execution of the applications, regardless of the constraints of the underlying systems. This thesis focuses on the latter point through the case of the LHCb experiment.The LHCb collaboration currently relies on an infrastructure involving 170 computing centers across the world, the World LHC Computing Grid, to process a growing amount of Monte Carlo simulations, reproducing the experimental conditions of the experiment. Despite its huge size, it will be unable to handle simulations coming from the next LHC runs in a decent time. In the meantime, national science programs are consolidating computing resources and encourage using supercomputers, which provide a tremendous amount of computing power but pose higher integration challenges.In this thesis, we propose different approaches to supply distributed and shared computing resources with LHCb tasks. We developed methods to increase the number of computing resources allocations and their duration. It resulted in an improvement of the LHCb job throughput on a grid infrastructure (+40.86%). We also designed a series of software solutions to address highly-constrained environment issues that can be found in supercomputers, such as lack of external connectivity and software dependencies. We have applied those concepts to leverage computing power from four partitions of supercomputers ranked in the Top500
Didelot, Sylvain. "Improving memory consumption and performance scalability of HPC applications with multi-threaded network communications". Thesis, Versailles-St Quentin en Yvelines, 2014. http://www.theses.fr/2014VERS0029/document.
Texto completoA recent trend in high performance computing shows a rising number of cores per compute node, while the total amount of memory per compute node remains constant. To scale parallel applications on such large machines, one of the major challenges is to keep a low memory consumption. This thesis develops a multi-threaded communication layer over Infiniband which provides both good performance of communications and a low memory consumption. We target scientific applications parallelized using the MPI standard in pure mode or combined with a shared memory programming model. Starting with the observation that network endpoints and communication buffers are critical for the scalability of MPI runtimes, the first contribution proposes three approaches to control their usage. We introduce a scalable and fully-connected virtual topology for connection-oriented high-speed networks. In the context of multirail configurations, we then detail a runtime technique which reduces the number of network connections. We finally present a protocol for dynamically resizing network buffers over the RDMA technology. The second contribution proposes a runtime optimization to enforce the overlap potential of MPI communications, showing a 2x improvement factor on communications. The third contribution evaluates the performance of several MPI runtimes running a seismic modeling application in a hybrid context. On large compute nodes up to 128 cores, the introduction of OpenMP in the MPI application saves up to 17 % of memory. Moreover, we show a performance improvement with our multi-threaded communication layer where the OpenMP threads concurrently participate to the MPI communications
Martelli, Maxime. "Approche haut niveau pour l’accélération d’algorithmes sur des architectures hétérogènes CPU/GPU/FPGA. Application à la qualification des radars et des systèmes d’écoute électromagnétique". Thesis, Université Paris-Saclay (ComUE), 2019. http://www.theses.fr/2019SACLS581/document.
Texto completoAs the semiconductor industry faces major challenges in sustaining its growth, new High-Level Synthesis tools are repositioning FPGAs as a leading technology for algorithm acceleration in the face of CPU and GPU-based clusters. But as it stands, for a software engineer, these tools do not guarantee, without expertise of the underlying hardware, that these technologies will be harnessed to their full potential. This can be a game breaker for their democratization. From this observation, we propose a methodology for algorithm acceleration on FPGAs. After presenting a high-level model of this architecture, we detail possible optimizations in OpenCL, and finally define a relevant exploration strategy for accelerating algorithms on FPGA. Applied to different case studies, from tomographic reconstruction to the modelling of an airborne radar jammer, we evaluate our methodology according to three main performance criteria: development time, execution time, and energy efficiency
Moy, Matthieu. "Modélisation à haut niveau d'abstraction pour les systèmes embarqués". Habilitation à diriger des recherches, Université de Grenoble, 2014. http://tel.archives-ouvertes.fr/tel-01054555.
Texto completoCarpen-Amarie, Alexandra. "Utilisation de BlobSeer pour le stockage de données dans les Clouds: auto-adaptation, intégration, évaluation". Phd thesis, École normale supérieure de Cachan - ENS Cachan, 2011. http://tel.archives-ouvertes.fr/tel-00696012.
Texto completoVienne, Jérôme. "Prédiction de performances d'applications de calcul haute performance sur réseau Infiniband". Phd thesis, Grenoble, 2010. http://www.theses.fr/2010GRENM043.
Texto completoManufacturers of computer clusters require tools to assist them in making better decisions in terms of architectural design. To address this need, in this thesis work, we focus on the specific issues of estimating computation times and InfiniBand network congestion. These two problems are often dealt with globally. However, an overall approach does not explain the reasons of performance loss related to architectural choices. So our approach was to conduct a more detailed study. In this thesis work, we focus on the following : 1) the estimation of computation time in a Grid, and 2) the estimation of communication times over Infiniband networks. To evaluate the computation time, the proposed approach is based on a static or semi-static analysis of the source code, by cutting it into blocks, before making a micro-benchmarking of these blocks on the targeted architecture. To estimate the communication time, a model of bandwidth sharing for Infiniband networks has been developed, allowing one to predict the impact related to concurrent communications. This model was then incorporated into a simulator to be validated on a set of synthetic communication graphs and on the application Socorro
Vienne, Jérôme. "Prédiction de performances d'applications de calcul haute performance sur réseau Infiniband". Phd thesis, Université de Grenoble, 2010. http://tel.archives-ouvertes.fr/tel-00728156.
Texto completoApplencourt, Thomas. "Calcul haute performance & chimie quantique". Thesis, Toulouse 3, 2015. http://www.theses.fr/2015TOU30162/document.
Texto completoThis thesis work has two main objectives: 1. To develop and apply original electronic structure methods for quantum chemistry 2. To implement several computational strategies to achieve efficient large-scale computer simulations. In the first part, both the Configuration Interaction (CI) and the Quantum Monte Carlo (QMC) methods used in this work for calculating quantum properties are presented. We then describe more specifically the selected CI approach (so-called CIPSI approach, Configuration Interaction using a Perturbative Selection done Iteratively) that we used for building trial wavefunctions for QMC simulations. As a first application, we present the QMC calculation of the total non-relativistic energies of transition metal atoms of the 3d series. This work, which has required the implementation of Slater type basis functions in our codes, has led to the best values ever published for these atoms. We then present our original implementation of the pseudo-potentials for QMC and discuss the calculation of atomization energies for a benchmark set of 55 organic molecules. The second part is devoted to the Hight Performance Computing (HPC) aspects. The objective is to make possible and/or facilitate the deployment of very large-scale simulations. From the point of view of the developer it includes: The use of original programming paradigms, single-core optimization process, massively parallel calculations on grids (supercomputer and Cloud), development of collaborative tools , etc - and from the user's point of view: Improved code installation, management of the input/output parameters, GUI, interfacing with other codes, etc
Libros sobre el tema "Calcul haut performance"
International Symposium on High Performance Computing Systems and Applications (17th 2003 Sherbrooke, Quebec). Proceedings of the 17th Annual International Symposium on High Performance Computing Systems and Applications and the OSCAR Symposium : May 11-14, 2003, Sherbrooke, Quebec, Canada: Comptes rendus du 17ième Symposium annuel international sur les systèmes et applications du calcul de haute performance et le Symposium OSCAR : 11-14 mai 2003, Sherbrooke, Québec, Canada / éditeur, D. Sénéchal. Editado por Sénéchal David 1963-, National Research Council Canada y OSCAR Symposium (2003 : Sherbrooke, Quebec). Ottawa, Ont: NRC Research Press = Presses scientifiques du CNRC, 2003.
Buscar texto completoYenké, Blaise Omer. Sauvegarde en parallèle d'applications HPC: Ordonnancement des sauvegardes/reprises d'applications de calcul haute performance dans les environnements dynamiques. Omniscriptum, 2011.
Buscar texto completoCapítulos de libros sobre el tema "Calcul haut performance"
SHIOMI, Jun y Tohru ISHIHARA. "Calcul de l’énergie minimale par ajustement des tensions d’alimentation et de seuil". En Systèmes multiprocesseurs sur puce 1, 277–307. ISTE Group, 2023. http://dx.doi.org/10.51926/iste.9021.ch10.
Texto completoHill, David R. C. "Chapitre 23. Simulations stochastiques et calcul à haute performance : la « parallélisation » des générateurs de nombres pseudo-aléatoires". En Modéliser & simuler – Tome 2, 725. Editions Matériologiques, 2014. http://dx.doi.org/10.3917/edmat.varen.2014.01.0725.
Texto completo"Afro-Vulnerabilities and the Aesthetics of Slow Death". En Indenture Aesthetics, 89–122. Duke University Press, 2024. https://doi.org/10.1215/9781478060321-003.
Texto completoActas de conferencias sobre el tema "Calcul haut performance"
Femenia, Jose. "The Siberian Arctic Ocean Highway – Redefining the World’s Trading Patterns". En SNAME 7th International Conference and Exhibition on Performance of Ships and Structures in Ice. SNAME, 2006. http://dx.doi.org/10.5957/icetech-2006-129.
Texto completoWei, Fan, Yunhan Xiao y Shijie Zhang. "Latent Heat Recovery and Performance Studies for an Open Cycle Absorption Heat Transformer". En ASME Turbo Expo 2008: Power for Land, Sea, and Air. ASMEDC, 2008. http://dx.doi.org/10.1115/gt2008-51105.
Texto completoÅgren, Niklas D., Mats O. Westermark, Michael A. Bartlett y Torbjörn Lindquist. "First Experiments on an Evaporative Gas Turbine Pilot Power Plant: Water Circuit Chemistry and Humidification Evaluation". En ASME Turbo Expo 2000: Power for Land, Sea, and Air. American Society of Mechanical Engineers, 2000. http://dx.doi.org/10.1115/2000-gt-0168.
Texto completoVierling, Matthieu, Frederic Geiger, Jean-Francois Brilhac, Sophie Dorge, David Habermacher, Habiba Nouali, Jean-Louis Guichard et al. "Novel Desulfurization Concept Using a Regenerable Adsorbent". En ASME Turbo Expo 2020: Turbomachinery Technical Conference and Exposition. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/gt2020-16222.
Texto completoStensrud, Rune, Sigmund Valaker, Aleksander Simonsen y Olav Rune Nummedal. "Situation awareness training as a prerequisite for handling complexity in Human-autonomy teaming: Demonstration and experiment proposal". En Intelligent Human Systems Integration (IHSI 2024) Integrating People and Intelligent Systems. AHFE International, 2024. http://dx.doi.org/10.54941/ahfe1004514.
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