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Transparent heterogeneous hardware Architecture deployment for eNergy Gain in Operation

Total Cost €


EC-Contrib. €






Project "TANGO" data sheet

The following table provides information about the project.


Organization address
city: MADRID
postcode: 28037

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Spain [ES]
 Project website
 Total cost 3˙199˙625 €
 EC max contribution 3˙199˙625 € (100%)
 Programme 1. H2020-EU.2.1.1. (INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Information and Communication Technologies (ICT))
 Code Call H2020-ICT-2015
 Funding Scheme RIA
 Starting year 2016
 Duration (year-month-day) from 2016-01-01   to  2018-12-31


Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    ATOS SPAIN SA ES (MADRID) coordinator 523˙750.00
2    BULL SAS FR (LES CLAYES SOUS BOIS) participant 629˙500.00
3    DELTATEC BE (ANS) participant 618˙750.00
4    UNIVERSITY OF LEEDS UK (LEEDS) participant 517˙500.00


 Project objective

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.


List of deliverables.
TANGO Toolbox – 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 – 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 – Alpha version Documents, reports 2019-10-29 12:17:02
TANGO Use Cases Validation –Final version Documents, reports 2019-10-29 12:17:02
TANGO Toolbox – Final version Scientific Report Documents, reports 2019-10-29 12:17:02
TANGO Toolbox – Beta version Scientific Report Documents, reports 2019-10-29 12:17:02
TANGO Toolbox – 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 – Final version Other 2019-10-29 12:17:02
TANGO Use Cases Validation – 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
List of publications.
2017 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
2018 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 – Revue d’IFP Energies nouvelles 73 2019-10-29
2018 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
2017 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
2019 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
2018 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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