Scalable dynamic Monitoring, Analysis and Tuning Environment for parallel applications
- Autores
- Caymes Scutari, Paola Guadalupe; Morajko, Anna; Margalef, Tomàs; Luque, Emilio
- Año de publicación
- 2010
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- Parallel/distributed systems are continuously growing. This allows and enables the scalability of the applications, either by considering bigger problems in the same period of time or by solving the problem in a shorter time. In consequence, the methodologies, approaches and tools related to parallel paradigm should be brought up to date to support the increasing requirements of the applications and the users. MATE (Monitoring, Analysis and Tuning Environment) provides automatic and dynamic tuning for parallel/distributed applications. The tuning decisions are made according to performance models, which provide a fast means to decide what to improve in the execution. However, MATE presents some bottlenecks as the application grows, due to the fact that the analysis process is made in a full centralized manner. In this work, we propose a new approach to make MATE scalable. In addition, we present the experimental results and the analysis to validate the proposed approach against the original one.
Fil: Caymes Scutari, Paola Guadalupe. Universidad Tecnologica Nacional. Facultad Reg.mendoza. Departamento de Ingeniería Química.; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Morajko, Anna. Universitat Autònoma de Barcelona; España
Fil: Margalef, Tomàs. Universitat Autònoma de Barcelona; España
Fil: Luque, Emilio. Universitat Autònoma de Barcelona; España - Materia
-
DYNAMIC TUNING
PERFORMANCE EVALUATION
SCALABILITY
PARALLEL APPLICATIONS - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
- Repositorio
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/242483
Ver los metadatos del registro completo
id |
CONICETDig_200330395d50754559a58afe53588ca1 |
---|---|
oai_identifier_str |
oai:ri.conicet.gov.ar:11336/242483 |
network_acronym_str |
CONICETDig |
repository_id_str |
3498 |
network_name_str |
CONICET Digital (CONICET) |
spelling |
Scalable dynamic Monitoring, Analysis and Tuning Environment for parallel applicationsCaymes Scutari, Paola GuadalupeMorajko, AnnaMargalef, TomàsLuque, EmilioDYNAMIC TUNINGPERFORMANCE EVALUATIONSCALABILITYPARALLEL APPLICATIONShttps://purl.org/becyt/ford/1.2https://purl.org/becyt/ford/1Parallel/distributed systems are continuously growing. This allows and enables the scalability of the applications, either by considering bigger problems in the same period of time or by solving the problem in a shorter time. In consequence, the methodologies, approaches and tools related to parallel paradigm should be brought up to date to support the increasing requirements of the applications and the users. MATE (Monitoring, Analysis and Tuning Environment) provides automatic and dynamic tuning for parallel/distributed applications. The tuning decisions are made according to performance models, which provide a fast means to decide what to improve in the execution. However, MATE presents some bottlenecks as the application grows, due to the fact that the analysis process is made in a full centralized manner. In this work, we propose a new approach to make MATE scalable. In addition, we present the experimental results and the analysis to validate the proposed approach against the original one.Fil: Caymes Scutari, Paola Guadalupe. Universidad Tecnologica Nacional. Facultad Reg.mendoza. Departamento de Ingeniería Química.; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Morajko, Anna. Universitat Autònoma de Barcelona; EspañaFil: Margalef, Tomàs. Universitat Autònoma de Barcelona; EspañaFil: Luque, Emilio. Universitat Autònoma de Barcelona; EspañaAcademic Press Inc Elsevier Science2010-04info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/242483Caymes Scutari, Paola Guadalupe; Morajko, Anna; Margalef, Tomàs; Luque, Emilio; Scalable dynamic Monitoring, Analysis and Tuning Environment for parallel applications; Academic Press Inc Elsevier Science; Journal Of Parallel And Distributed Computing; 70; 4; 4-2010; 330-3370743-7315CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/abs/pii/S0743731509001518info:eu-repo/semantics/altIdentifier/doi//10.1016/j.jpdc.2009.08.008info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T10:03:48Zoai:ri.conicet.gov.ar:11336/242483instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-03 10:03:48.369CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
dc.title.none.fl_str_mv |
Scalable dynamic Monitoring, Analysis and Tuning Environment for parallel applications |
title |
Scalable dynamic Monitoring, Analysis and Tuning Environment for parallel applications |
spellingShingle |
Scalable dynamic Monitoring, Analysis and Tuning Environment for parallel applications Caymes Scutari, Paola Guadalupe DYNAMIC TUNING PERFORMANCE EVALUATION SCALABILITY PARALLEL APPLICATIONS |
title_short |
Scalable dynamic Monitoring, Analysis and Tuning Environment for parallel applications |
title_full |
Scalable dynamic Monitoring, Analysis and Tuning Environment for parallel applications |
title_fullStr |
Scalable dynamic Monitoring, Analysis and Tuning Environment for parallel applications |
title_full_unstemmed |
Scalable dynamic Monitoring, Analysis and Tuning Environment for parallel applications |
title_sort |
Scalable dynamic Monitoring, Analysis and Tuning Environment for parallel applications |
dc.creator.none.fl_str_mv |
Caymes Scutari, Paola Guadalupe Morajko, Anna Margalef, Tomàs Luque, Emilio |
author |
Caymes Scutari, Paola Guadalupe |
author_facet |
Caymes Scutari, Paola Guadalupe Morajko, Anna Margalef, Tomàs Luque, Emilio |
author_role |
author |
author2 |
Morajko, Anna Margalef, Tomàs Luque, Emilio |
author2_role |
author author author |
dc.subject.none.fl_str_mv |
DYNAMIC TUNING PERFORMANCE EVALUATION SCALABILITY PARALLEL APPLICATIONS |
topic |
DYNAMIC TUNING PERFORMANCE EVALUATION SCALABILITY PARALLEL APPLICATIONS |
purl_subject.fl_str_mv |
https://purl.org/becyt/ford/1.2 https://purl.org/becyt/ford/1 |
dc.description.none.fl_txt_mv |
Parallel/distributed systems are continuously growing. This allows and enables the scalability of the applications, either by considering bigger problems in the same period of time or by solving the problem in a shorter time. In consequence, the methodologies, approaches and tools related to parallel paradigm should be brought up to date to support the increasing requirements of the applications and the users. MATE (Monitoring, Analysis and Tuning Environment) provides automatic and dynamic tuning for parallel/distributed applications. The tuning decisions are made according to performance models, which provide a fast means to decide what to improve in the execution. However, MATE presents some bottlenecks as the application grows, due to the fact that the analysis process is made in a full centralized manner. In this work, we propose a new approach to make MATE scalable. In addition, we present the experimental results and the analysis to validate the proposed approach against the original one. Fil: Caymes Scutari, Paola Guadalupe. Universidad Tecnologica Nacional. Facultad Reg.mendoza. Departamento de Ingeniería Química.; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina Fil: Morajko, Anna. Universitat Autònoma de Barcelona; España Fil: Margalef, Tomàs. Universitat Autònoma de Barcelona; España Fil: Luque, Emilio. Universitat Autònoma de Barcelona; España |
description |
Parallel/distributed systems are continuously growing. This allows and enables the scalability of the applications, either by considering bigger problems in the same period of time or by solving the problem in a shorter time. In consequence, the methodologies, approaches and tools related to parallel paradigm should be brought up to date to support the increasing requirements of the applications and the users. MATE (Monitoring, Analysis and Tuning Environment) provides automatic and dynamic tuning for parallel/distributed applications. The tuning decisions are made according to performance models, which provide a fast means to decide what to improve in the execution. However, MATE presents some bottlenecks as the application grows, due to the fact that the analysis process is made in a full centralized manner. In this work, we propose a new approach to make MATE scalable. In addition, we present the experimental results and the analysis to validate the proposed approach against the original one. |
publishDate |
2010 |
dc.date.none.fl_str_mv |
2010-04 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://purl.org/coar/resource_type/c_6501 info:ar-repo/semantics/articulo |
format |
article |
status_str |
publishedVersion |
dc.identifier.none.fl_str_mv |
http://hdl.handle.net/11336/242483 Caymes Scutari, Paola Guadalupe; Morajko, Anna; Margalef, Tomàs; Luque, Emilio; Scalable dynamic Monitoring, Analysis and Tuning Environment for parallel applications; Academic Press Inc Elsevier Science; Journal Of Parallel And Distributed Computing; 70; 4; 4-2010; 330-337 0743-7315 CONICET Digital CONICET |
url |
http://hdl.handle.net/11336/242483 |
identifier_str_mv |
Caymes Scutari, Paola Guadalupe; Morajko, Anna; Margalef, Tomàs; Luque, Emilio; Scalable dynamic Monitoring, Analysis and Tuning Environment for parallel applications; Academic Press Inc Elsevier Science; Journal Of Parallel And Distributed Computing; 70; 4; 4-2010; 330-337 0743-7315 CONICET Digital CONICET |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/abs/pii/S0743731509001518 info:eu-repo/semantics/altIdentifier/doi//10.1016/j.jpdc.2009.08.008 |
dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ |
eu_rights_str_mv |
openAccess |
rights_invalid_str_mv |
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ |
dc.format.none.fl_str_mv |
application/pdf application/pdf application/pdf |
dc.publisher.none.fl_str_mv |
Academic Press Inc Elsevier Science |
publisher.none.fl_str_mv |
Academic Press Inc Elsevier Science |
dc.source.none.fl_str_mv |
reponame:CONICET Digital (CONICET) instname:Consejo Nacional de Investigaciones Científicas y Técnicas |
reponame_str |
CONICET Digital (CONICET) |
collection |
CONICET Digital (CONICET) |
instname_str |
Consejo Nacional de Investigaciones Científicas y Técnicas |
repository.name.fl_str_mv |
CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas |
repository.mail.fl_str_mv |
dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar |
_version_ |
1842269820530196480 |
score |
13.13397 |