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检索条件"机构=Centre For Parallel Computing Computing"
270 条 记 录,以下是1-10 订阅
排序:
Edge-Cloud Synergy: Unleashing the Potential of parallel Processing for Big Data Analytics  13
Edge-Cloud Synergy: Unleashing the Potential of Parallel Pro...
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13th IEEE Annual Information Technology, Electronics and Mobile Communication Conference, IEMCON 2022
作者: Singh, Raghubir Kiss, Tamas Department of Computer Science and Engineering Centre for Parallel Computing University of Westminster London United Kingdom
If an edge-node orchestrator can partition Big Data tasks of variable computational complexity between the edge and cloud resources, major reductions in total task completion times can be achieved even at low Wide Are... 详细信息
来源: 评论
Latent Block Regression Model  1
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17th Conference of the International Federation of Classification Societies, IFCS 2022
作者: Boutalbi, Rafika Labiod, Lazhar Nadif, Mohamed Institute for Parallel and Distributed Systems Analytic Computing University of Stuttgart Stuttgart Germany Centre Borelli UMR 9010 Université Paris Cité Paris France
When dealing with high dimensional sparse data, such as in recommender systems,co-clusteringturnsouttobemorebeneficialthanone-sidedclustering,even if one is interested in clustering along one dimension only. Thereby, ... 详细信息
来源: 评论
NVRAM as an Enabler to New Horizons in Graph Processing
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SN Computer Science 2022年 第5期3卷 385页
作者: Capelli, Ludovic Anthony Richard Brown, Nicholas Bull, Jonathan Mark School of Informatics The University of Edinburgh Edinburgh United Kingdom Edinburgh Parallel Computing Centre The University of Edinburgh Edinburgh United Kingdom
From the world wide web, to genomics, to traffic analysis, graphs are central to many scientific, engineering, and societal endeavours. Therefore an important question is what hardware technologies are most appropriat... 详细信息
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Enabling modular design of an application-level auto-scaling and orchestration framework using TOSCA-based application description templates  11
Enabling modular design of an application-level auto-scaling...
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11th International Workshop on Science Gateways, IWSG 2019
作者: DesLauriers, James Kiss, Tamas Pierantoni, Gabriele Gesmier, Gregoire Terstyanszky, Gabor Centre for Parallel Computing University of Westminster London United Kingdom
This paper presents a novel approach to writing TOSCA templates for application reusability and portability in a modular auto-scaling and orchestration framework (MiCADO). The approach defines cloud resources as well ... 详细信息
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Big data and machine learning framework for clouds and its usage for text classification
Big data and machine learning framework for clouds and its u...
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作者: Pintye, István Kail, Eszter Kacsuk, Péter Lovas, Róbert Budapest Hungary Centre for Parallel Computing University of Westminster London United Kingdom John von Neumann Faculty of Informatics Óbuda University Budapest Hungary
Reference architectures for big data and machine learning include not only interconnected building blocks but important considerations (among others) for scalability, manageability and usability issues as well. Levera... 详细信息
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Unbiased Deep Solvers for Linear Parametric PDEs
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Applied Mathematical Finance 2021年 第4期28卷 299-329页
作者: Sabate Vidales, Marc Šiška, David Szpruch, Lukasz Edinburgh Parallel Computing Centre University of Edinburgh London United Kingdom School of Mathematics University of Edinburgh Edinburgh United Kingdom Vega Protocol United Kingdom The Alan Turing Institute London United Kingdom
We develop several deep learning algorithms for approximating families of parametric PDE solutions. The proposed algorithms approximate solutions together with their gradients, which in the context of mathematical fin... 详细信息
来源: 评论
Cloud apps to-go: Cloud portability with TOSCA and MiCADO
Cloud apps to-go: Cloud portability with TOSCA and MiCADO
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作者: DesLauriers, James Kiss, Tamas Ariyattu, Resmi C. Dang, Hai-Van Ullah, Amjad Bowden, James Krefting, Dagmar Pierantoni, Gabriele Terstyanszky, Gabor Research Centre for Parallel Computing University of Westminster London United Kingdom Hochschule für Technik und Wirtschaft Berlin Germany University Medical Center Göttingen Germany
As cloud adoption increases, so do the number of available cloud service providers. Moving complex applications between clouds can be beneficial—or other times necessary—but achieving this so-called cloud portabilit... 详细信息
来源: 评论
A Deep Learning Approach to Geographical Candidate Selection through Toponym Matching  20
A Deep Learning Approach to Geographical Candidate Selection...
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28th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, SIGSPATIAL GIS 2020
作者: Ardanuy, Mariona Coll Hosseini, Kasra McDonough, Katherine Krause, Amrey Van Strien, Daniel Nanni, Federico Alan Turing Institute London United Kingdom Edinburgh Parallel Computing Centre Edinburgh United Kingdom British Library London United Kingdom
Recognizing toponyms and resolving them to their real-world referents is required to provide advanced semantic access to textual data. This process is often hindered by the high degree of variation in toponyms. Candid... 详细信息
来源: 评论
Towards a Cloud Native Big Data Platform using MiCADO
Towards a Cloud Native Big Data Platform using MiCADO
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International Symposium on parallel and Distributed computing
作者: Abdelkhalik Mosa Tamas Kiss Gabriele Pierantoni James DesLauriers Dimitrios Kagialis Gabor Terstyanszky Centre for Parallel Computing University of Westminster London UK
In the big data era, creating self-managing scalable platforms for running big data applications is a fundamental task. Such self-managing and self-healing platforms involve a proper reaction to hardware (e.g., cluste... 详细信息
来源: 评论
A highly scalable approach to solving linear systems using two-stage multisplitting
arXiv
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arXiv 2020年
作者: Brown, Nick Mark Bull, J. Bethune, Iain Edinburgh Parallel Computing Centre James Clerk Maxwell Building Kings Buildings Edinburgh United Kingdom
Iterative methods for solving large sparse systems of linear equations are widely used in many HPC applications. Extreme scaling of these methods can be difficult, however, since global communication to form dot produ... 详细信息
来源: 评论