The Exa2green European project aims to reduce by 80% the energy consumption of a weather simulation in supercomputers‬



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## The Exa2green European project aims to reduce by 80% the energy consumption of a weather simulation in supercomputers‬ UJI researchers have improved the energy efficiency of mathematical modelling software for meteorological simulations‬

28/05/2015 |
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* [![Enrique Quintana and Rafael Mayo. energia-supercomputacio Exa2green_web](/com/noticies/2015/05/2q/energia-supercomputacio/Exa2green_web.jpg)](#)

  Enrique Quintana and Rafael Mayo.

Simulation through supercomputers has become a pillar of current scientific discoveries, but its development is hindered by energy constraints and high electricity consumption associated with the use of this equipment.  ‪Researchers at the Universitat Jaume I participate in the [Exa2green](http://exa2green-project.eu/) European project to get a cut by 80% of the energy consumption of a weather simulation application, a move whose results may be transferred in the future to new applications.

‪"Today's computers are limited by energy consumption.  ‪From the technological point of view, we can make more powerful computers but they would not endure it, they would be heated so much that they could not keep working.  ‪The other problem we see is the consumption of electricity, which is very expensive," says Enrique S. Quintana, coordinator of the Engineering and Computer Science group of the UJI. The Exa2green project, funded through the 7th Framework Programme of the European Union, has sought to reduce consumption on weather modelling simulation in the presence of contaminants, developed by the Institute of Meteorological and Climate Research in Karlsruhe (Germany), and in use at the Climate Computing Centre in Hamburg (Germany) and the Supercomputing Centre CSCS in Switzerland (based in Lugano). "This is an application that can even take weeks to develop the simulations required for research, which means a high energy consumption.  ‪The aim of the project, which will end in October after three years of work, has been to improve efficiency by a factor of five, that is, reducing consumption by up to 80%.  ‪The idea is the application not only to be efficient from the point of view of performance but also to consume as little energy as possible," said Quintana.

‪To achieve this reduction, the participants in the European project, among which are also the German universities of Heidelberg, Karlsruhe and Hamburg, the Computer Centre of Switzerland and the IBM Research Centre in Zürich (Switzerland), have worked in improving energy efficiency at both hardware and software levels. Specifically, the contribution of the research group at the UJI has focused on reducing energy consumption through the mathematical modelling of the simulation process. Quintana explains that they have also sought "processors that are less well-known but have a very interesting consumption ratio.  ‪We have taken the most important parts of the application to these architectures, adapting them to operate efficiently, and seeing the benefits that these processors provide over the systems traditionally used."

‪The improvement in consumption achieved can be transferred to many other scientific applications used in supercomputing today.  ‪In this regard, the work developed by the group of Engineering and Computer Science of the UJI and published in journals such as *Concurrency and Computation: Practice and Experience* includes results ranging between 10 and 30% reduction in energy consumption in small packages of software.

‪**Present at the greater European event**

‪The results achieved by researchers at the UJI will be submitted at a workshop at the International Supercomputing Conference (ISC), the largest conference on Supercomputing in Europe, to be held in July in Frankfurt (Germany). In this sense, Quintana stresses the importance of the achievements reached for saving energy in supercomputing at a time in which the simulation has established itself as the "third pillar of scientific discoveries, complementing the theoretical and experimental analysis."

‪Since the mid-twentieth century, the hardware performance of high-performance computing has rapidly increased driven by the steadily growing demand for computing power in many scientific areas. Among the most significant challenges of supercomputing is therefore to reduce energy consumption, which in many systems has reached a critical level, so that the operating costs in terms of energy equal the cost of acquisition of hardware after just a few years.

‪Once the Exa2green Project, which has received an overall funding of the European Union of 2,100,000 euros, comes to its end in October, the group coordinated by Enrique Quintana will continue working in the field of supercomputing over the next three years after the Horizon 2020 call for the European Union having passed the "INTERTWinE: Programming Model Interoperability Towards Exascale" project with a budget of 3,860,000 euros. This project will involve, besides the group of Engineering and Computer Science of the UJI, the Barcelona Supercomputing Centre, the University of Manchester (UK), the Royal Technological Institute in Stockholm (Sweden), the Computer Centre of Edinburgh, the French National Institute of Informatics INRIA, the Fraunhofer Institute in Munich (Germany) and the German companies T-Systems and DLR.

‪The project, which will be launched in October, aims to develop tools that facilitate the development and efficiency of supercomputing applications.  ‪"The idea is that programmers who develop software for supercomputing have tools to make this task easier and more efficient, responding to another of the current challenges of supercomputing," said Quintana.

‪

**Bibliographic references:**

-        José I. Aliaga, Hartwig Anzt, Maribel Castillo, Juan C. Fernández, Germán León, Joaquín Pérez and Enrique S. Quintana-Ortí, “Unveiling the performance-energy trade-off in iterative linear system solvers for multithreaded processors”, *Concurrency and Computation: Practice and Experience* (2014) DOI: 10.1002/cpe.3341

-        Pedro Alonso, Manuel F. Dolz, Francisco D. Igual, Rafael Mayo, Enrique S. Quintana-Ortí, “Enhancing performance and energy consumption of runtime schedulers for dense linear algebra” *Concurrency and Computation: Practice and Experience*, 2014; 26:2591–2611, DOI: 10.1002/cpe.3317

-        José I. Aliaga, Maria Barreda, Manuel F. Dolz, Alberto F. Martín, Rafael Mayo, Enrique S. Quintana-Ortí, “Assessing the impact of the CPU power-saving modes on the task-parallel solution of sparse linear systems" *Cluster Computing*, Vol. 17(4), pp. 1335-1348, 2014. DOI: 10.1007/s10586-014-0402-z

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