Explore the words cloud of the TANGO project. It provides you a very rough idea of what is the project "TANGO" about.
The following table provides information about the project.
ATOS SPAIN SA
|Coordinator Country||Spain [ES]|
|Total cost||3˙199˙625 €|
|EC max contribution||3˙199˙625 € (100%)|
1. H2020-EU.2.1.1. (INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Information and Communication Technologies (ICT))
|Duration (year-month-day)||from 2016-01-01 to 2018-12-31|
Take a look of project's partnership.
|1||ATOS SPAIN SA||ES (MADRID)||coordinator||523˙750.00|
|2||BULL SAS||FR (LES CLAYES SOUS BOIS)||participant||629˙500.00|
|4||UNIVERSITY OF LEEDS||UK (LEEDS)||participant||517˙500.00|
|5||CENTRE D'EXCELLENCE EN TECHNOLOGIES DE L'INFORMATION ET DE LA COMMUNICATION||BE (CHARLEROI)||participant||514˙625.00|
|6||BARCELONA SUPERCOMPUTING CENTER - CENTRO NACIONAL DE SUPERCOMPUTACION||ES (BARCELONA)||participant||395˙500.00|
Computer systems have faced significant power challenges over the past 20 years; these challenges have shifted from the devices and circuits level, to their current position as first-order constraints for system architects and software developers. TANGO’s goal is to characterise factors which affect power consumption in software development and operation for heterogeneous parallel hardware environments. Our main contribution is the combination of requirements engineering and design modelling for self-adaptive software systems, with power consumption awareness in relation to these environments. The energy efficiency and application quality factors are integrated in the application lifecycle (design, implementation, operation). To support this, the key novelty of the project is a reference architecture and its implementation. Moreover, a programming model with built-in support for various hardware architectures including heterogeneous clusters, heterogeneous chips and programmable logic devices will be provided. TANGO will create a new cross-layer programming approach for heterogeneous parallel hardware architectures featuring automatic code generation including software and hardware modelling. This will consider power, performance, data location and time criticality optimization, in addition to security and dependability on the target hardware architecture. These results will be demonstrated in two real-world applications: reconfigurable power optimized connected platform and HPC. In order to improve collaboration and sustainability of TANGO’s and fellow projects results, TANGO considers the foundation of a Research Alliance in which complementary research efforts into novel programming approaches will nucleate, leading to a strong research collaboration and effective integration of project results.
|TANGO Toolbox â€“ Alpha version Scientific Report||Documents, reports||2019-10-29 12:17:02|
|TANGO Requirements and Architecture Specification Beta Version||Documents, reports||2019-10-29 12:17:02|
|TANGO Toolbox â€“ Alpha version||Other||2019-10-29 12:17:02|
|TANGO Requirements and Architecture Specification Alpha Version||Documents, reports||2019-10-29 12:17:02|
|TANGO Use Cases Validation â€“ Alpha version||Documents, reports||2019-10-29 12:17:02|
|TANGO Use Cases Validation â€“Final version||Documents, reports||2019-10-29 12:17:02|
|TANGO Toolbox â€“ Final version Scientific Report||Documents, reports||2019-10-29 12:17:02|
|TANGO Toolbox â€“ Beta version Scientific Report||Documents, reports||2019-10-29 12:17:02|
|TANGO Toolbox â€“ Beta version||Other||2019-10-29 12:17:02|
|TANGO Requirements and Architecture Specification Final Version||Documents, reports||2019-10-29 12:17:02|
|TANGO Toolbox â€“ Final version||Other||2019-10-29 12:17:02|
|TANGO Use Cases Validation â€“ Beta version||Documents, reports||2019-10-29 12:17:02|
Take a look to the deliverables list in detail: detailed list of TANGO deliverables.
|year||authors and title||journal||last update|
Karim Djemame, Raimon Bosch, Richard Kavanagh, Pol Alvarez, Jorge Ejarque, Jordi Guitart, Lorenzo Blasi
PaaS-IaaS Inter-Layer Adaptation in an Energy-Aware Cloud Environment
published pages: 127-139, ISSN: 2377-3782, DOI: 10.1109/tsusc.2017.2719159
|IEEE Transactions on Sustainable Computing 2/2||2019-10-29|
Ramon Amela, Cristian Ramon-Cortes, Jorge Ejarque, Javier Conejero, Rosa M. Badia
Executing linear algebra kernels in heterogeneous distributed infrastructures with PyCOMPSs
published pages: 47, ISSN: 1294-4475, DOI: 10.2516/ogst/2018047
|Oil & Gas Science and Technology â€“ Revue dâ€™IFP Energies nouvelles 73||2019-10-29|
Richard Kavanagh, Karim Djemame
Rapid and accurate energy models through calibration with IPMI and RAPL
published pages: e5124, ISSN: 1532-0626, DOI: 10.1002/cpe.5124
|Concurrency and Computation: Practice and Experience||2019-10-29|
Django Armstrong, Karim Djemame, Richard Kavanagh
Towards energy aware cloud computing application construction
published pages: , ISSN: 2192-113X, DOI: 10.1186/s13677-017-0083-2
|Journal of Cloud Computing 6/1||2019-10-29|
Mohammad Aldossary, Karim Djemame, Ibrahim Alzamil, Alexandros Kostopoulos, Antonis Dimakis, Eleni Agiatzidou
Energy-aware cost prediction and pricing of virtual machines in cloud computing environments
published pages: 442-459, ISSN: 0167-739X, DOI: 10.1016/j.future.2018.10.027
|Future Generation Computer Systems 93||2019-10-29|
Abdulaziz Alnori, Karim Djemame
A Holistic Resource Management for Graphics Processing Units in Cloud Computing
published pages: 3-22, ISSN: 1571-0661, DOI: 10.1016/j.entcs.2018.09.002
|Electronic Notes in Theoretical Computer Science 340||2019-10-29|
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