1 resultado para parallel efficiency
Filtro por publicador
- Academic Research Repository at Institute of Developing Economies (1)
- Acceda, el repositorio institucional de la Universidad de Las Palmas de Gran Canaria. España (1)
- AMS Tesi di Dottorato - Alm@DL - Università di Bologna (1)
- AMS Tesi di Laurea - Alm@DL - Università di Bologna (1)
- Applied Math and Science Education Repository - Washington - USA (2)
- ArchiMeD - Elektronische Publikationen der Universität Mainz - Alemanha (4)
- Archive of European Integration (2)
- Aston University Research Archive (2)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (1)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (BDPI/USP) (51)
- Biblioteca Virtual del Sistema Sanitario Público de Andalucía (BV-SSPA), Junta de Andalucía. Consejería de Salud y Bienestar Social, Spain (3)
- Biodiversity Heritage Library, United States (6)
- BORIS: Bern Open Repository and Information System - Berna - Suiça (2)
- Boston College Law School, Boston College (BC), United States (1)
- Brock University, Canada (4)
- Bulgarian Digital Mathematics Library at IMI-BAS (3)
- CentAUR: Central Archive University of Reading - UK (199)
- Cochin University of Science & Technology (CUSAT), India (26)
- Consorci de Serveis Universitaris de Catalunya (CSUC), Spain (81)
- Cor-Ciencia - Acuerdo de Bibliotecas Universitarias de Córdoba (ABUC), Argentina (1)
- CUNY Academic Works (1)
- Digital Commons - Michigan Tech (1)
- Digital Commons at Florida International University (2)
- Diposit Digital de la UB - Universidade de Barcelona (2)
- Doria (National Library of Finland DSpace Services) - National Library of Finland, Finland (89)
- Galway Mayo Institute of Technology, Ireland (1)
- Greenwich Academic Literature Archive - UK (5)
- Institute of Public Health in Ireland, Ireland (4)
- Instituto Politécnico do Porto, Portugal (48)
- Iowa Publications Online (IPO) - State Library, State of Iowa (Iowa), United States (16)
- Martin Luther Universitat Halle Wittenberg, Germany (11)
- Massachusetts Institute of Technology (9)
- Ministerio de Cultura, Spain (3)
- Portal do Conhecimento - Ministerio do Ensino Superior Ciencia e Inovacao, Cape Verde (1)
- Publishing Network for Geoscientific & Environmental Data (1)
- QSpace: Queen's University - Canada (1)
- QUB Research Portal - Research Directory and Institutional Repository for Queen's University Belfast (1)
- ReCiL - Repositório Científico Lusófona - Grupo Lusófona, Portugal (4)
- Repositório Científico do Instituto Politécnico de Lisboa - Portugal (21)
- Repositório da Escola Nacional de Administração Pública (ENAP) (1)
- Repositório da Produção Científica e Intelectual da Unicamp (5)
- Repositório da Universidade Federal do Espírito Santo (UFES), Brazil (1)
- Repositório do Centro Hospitalar de Lisboa Central, EPE - Centro Hospitalar de Lisboa Central, EPE, Portugal (1)
- Repositório Institucional UNESP - Universidade Estadual Paulista "Julio de Mesquita Filho" (2)
- RUN (Repositório da Universidade Nova de Lisboa) - FCT (Faculdade de Cienecias e Technologia), Universidade Nova de Lisboa (UNL), Portugal (32)
- School of Medicine, Washington University, United States (1)
- Scielo Saúde Pública - SP (103)
- Scottish Institute for Research in Economics (SIRE) (SIRE), United Kingdom (10)
- Universidad del Rosario, Colombia (7)
- Universidad Politécnica de Madrid (13)
- Universidade do Minho (15)
- Universidade dos Açores - Portugal (6)
- Universidade Federal do Rio Grande do Norte (UFRN) (2)
- Universitat de Girona, Spain (4)
- Universitätsbibliothek Kassel, Universität Kassel, Germany (10)
- Université de Lausanne, Switzerland (92)
- Université de Montréal, Canada (18)
- University of Queensland eSpace - Australia (55)
- University of Southampton, United Kingdom (2)
Resumo:
Structured parallel programming, and in particular programming models using the algorithmic skeleton or parallel design pattern concepts, are increasingly considered to be the only viable means of supporting effective development of scalable and efficient parallel programs. Structured parallel programming models have been assessed in a number of works in the context of performance. In this paper we consider how the use of structured parallel programming models allows knowledge of the parallel patterns present to be harnessed to address both performance and energy consumption. We consider different features of structured parallel programming that may be leveraged to impact the performance/energy trade-off and we discuss a preliminary set of experiments validating our claims.