Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Daron Green"'
Publikováno v:
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining-KDD '15
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining-KDD 15
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Recercat. Dipósit de la Recerca de Catalunya
Universitat Jaume I
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining-KDD 15
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Recercat. Dipósit de la Recerca de Catalunya
Universitat Jaume I
This article presents ALOJA-Machine Learning (ALOJA-ML) an extension to the ALOJA project that uses machine learning techniques to interpret Hadoop benchmark performance data and performance tuning; here we detail the approach, efficacy of the model
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::eff64de5772a121f920591a85f577e77
http://arxiv.org/abs/1511.02030
http://arxiv.org/abs/1511.02030
Autor:
David Carrera, Nikola Vujic, Fabrizio Gagliardi, Aaron Call, Robert L. Reinauer, Daron Green, José A. Blakeley, Josep Ll. Berral, Nicolas Poggi
Publikováno v:
IEEE BigData
During the past years the exponential growth of data, its generation speed, and its expected consumption rate presents one of the most important challenges in IT both for industry and research. For these reasons, the ALOJA research project was create
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ba57570e1ad826a85b2779a3d3c44d50
https://doi.org/10.1109/bigdata.2015.7363876
https://doi.org/10.1109/bigdata.2015.7363876
Autor:
Fabrizio Gagliardi, Daron Green, Jordi Torres, Eduard Ayguadé, José A. Blakeley, Yolanda Becerra, Nikola Vujic, David Carrera, Nicolas Poggi, Sergio Mendoza, Robert L. Reinauer, Jesús Labarta, Aaron Call
Publikováno v:
BigData Conference
Recercat. Dipósit de la Recerca de Catalunya
Universitat Jaume I
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Recercat. Dipósit de la Recerca de Catalunya
Universitat Jaume I
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
This article presents the ALOJA project, an initiative to produce mechanisms for an automated characterization of cost-effectiveness of Hadoop deployments and reports its initial results. ALOJA is the latest phase of a long-term collaborative engagem
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f2235f7627c4f6a87339e6b904a060f2
https://doi.org/10.1109/bigdata.2014.7004322
https://doi.org/10.1109/bigdata.2014.7004322
Publikováno v:
ScienceCloud@HPDC
Microsoft Research is now in its fourth year of awarding Windows Azure cloud resources to the academic community. As of April 2014, over 200 research projects have started. In this paper we review the results of this effort to date. We also character
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::32a5c81b7ad0f2ad83847356ff7da004
https://doi.org/10.1145/2608029.2608030
https://doi.org/10.1145/2608029.2608030
Publikováno v:
Concurrency: Practice and Experience. 11:93-108
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0a7dc102af88a90743ae78e43ea201e8
https://doi.org/10.1002/(sici)1096-9128(199902)11:2<93::aid-cpe319>3.0.co
https://doi.org/10.1002/(sici)1096-9128(199902)11:2<93::aid-cpe319>3.0.co
Autor:
Daron Green
Publikováno v:
Advances in Grid and Pervasive Computing ISBN: 9783642207532
GPC
GPC
In part as a recognition of the '4th Paradigm' in scientific discovery, in recent years Microsoft Research has steadily increased its interest in the application of computer science tools and technologies to breakthrough science. This has happened in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::957f1e6628051a06bbbc37c75a48934a
https://doi.org/10.1007/978-3-642-20754-9_1
https://doi.org/10.1007/978-3-642-20754-9_1
Publikováno v:
High-Performance Computing and Networking ISBN: 9783540611424
HPCN Europe
HPCN Europe
EUROPORT was a European Commission funded project, the primary objective of which has been to increase awareness of, and confidence in, the use of parallel high-performance computing (HPC) for commercial and industrial applications. The project is no
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1c739387f68f3db5c13a0e64c5c1a0a5
https://doi.org/10.1007/3-540-61142-8_526
https://doi.org/10.1007/3-540-61142-8_526
Autor:
Daron Green, Ken Meacham
Publikováno v:
High-Performance Computing and Networking ISBN: 9783540611424
HPCN Europe
HPCN Europe
In this paper, we describe the performance of the parallel GROMOS87 code, developed under the ESPRIT EUROPORT-2/PACC project, and indicate its potential impact in industry. An outline of the parallel code structure is given, followed by a discussion
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d1b276b68c9e05e907ad040f4d6ce460
https://eprints.soton.ac.uk/252522/
https://eprints.soton.ac.uk/252522/
Publikováno v:
High-Performance Computing and Networking ISBN: 9783540593935
HPCN Europe
HPCN Europe
This paper describes the techniques and methodologies employed during parallelization of the Molecular Dynamics (MD) code GROMOS87, with the specific requirement that the program run efficiently on a range of distributed-memory parallel platforms. We
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7136bca5b66f71bf9d8cde6d8c42b89a
https://doi.org/10.1007/bfb0046729
https://doi.org/10.1007/bfb0046729
Publikováno v:
High-Performance Computing and Networking ISBN: 9783540593935
HPCN Europe
HPCN Europe
This paper describes the techniques and methodologies employed during parallelization of the semi-empirical quantum-mechanical (SEQM) code MNDO, with the specific requirement that the program run efficiently on a range of distributed memory parallel
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2d43e922a266105e5341cc58a4af9722
https://doi.org/10.1007/bfb0046730
https://doi.org/10.1007/bfb0046730