Browsing by Subject "Energy efficiency"

Now showing 1 - 5 of 5
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    La Formación Profesional en la familia de Energía y Agua
    (Comunidad Autónoma de la Región de Murcia, Consejería de Educación y Cultura, Servicio de Publicaciones, 2019) Alcaraz Caballero, Antonio José; Carrasco Martínez, Pilar; Montoya Caravaca, Antonio
    La Formación Profesional tiene un papel clave en proporcionar a las personas los conocimientos y las habilidades para insertarse en el mercado laboral y permitirles una carrera exitosa. La evolución tecnológica está demandando nuevas capacitaciones a los trabajadores y está provocando la aparición de nuevos puestos de trabajo. Al mismo tiempo, la lucha contra los efectos del cambio climático requiere un consumo energético, una generación eléctrica y una gestión del agua sostenible. Fomentar la eficiencia energética y las energías renovables es esencial para conseguir estos objetivos. La Formación Profesional preparará a los jóvenes para acceder y participar de manera exitosa y sostenible en este mercado laboral.
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    Multiversioned Decoupled Access-Execute: the Key to Energy-Efficient Compilation of General-Purpose Programs
    (ACM, 2016-03-17) Koukos, Konstantinos; Ekemark, Per; Zacharopoulos, Georgios; Spiliopoulos, Vasileios; Kaxiras, Stefanos; Jimborean, Alexandra; Ingeniería y Tecnología de Computadores
    Computer architecture design faces an era of great challenges in an attempt to simultaneously improve performance and energy efficiency. Previous hardware techniques for energy management become severely limited, and thus, compilers play an essential role in matching the software to the more restricted hardware capabilities. One promising approach is software decoupled access-execute (DAE), in which the compiler transforms the code into coarsegrain phases that are well-matched to the Dynamic Voltage and Frequency Scaling (DVFS) capabilities of the hardware. While this method is proved efficient for statically analyzable codes, generalpurpose applications pose significant challenges due to pointer aliasing, complex control flow and unknown runtime events. We propose a universal compile-time method to decouple generalpurpose applications, using simple but efficient heuristics. Our solutions overcome the challenges of complex code and show that automatic decoupled execution significantly reduces the energy expenditure of irregular or memory-bound applications and even yields slight performance boosts. Overall, our technique achieves over 20% on average energy-delay-product (EDP) improvements (energy over 15% and performance over 5%) across 14 benchmarks from SPEC CPU 2006 and Parboil benchmark suites, with peak EDP improvements surpassing 70%.
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    Políticas y medidas contra la pobreza energética ¿a quién le corresponde?
    (2017-11-01) Raya Diez, Esther; Gómez Pérez, Melchor
    La pobreza energética es una de las múltiples caras de la pobreza. No siempre visible y no suficientemente conocida. Los datos del Consejo Económico y Social son suficientemente contundentes al afirmar que este tipo de pobreza afecta ya a 54 millones de personas en la Unión Europea. España es el cuarto país de la UE con más personas en tal situación, en 2012 se estimaba que ascendía a 7 millones. Y la Organización Mundial de la Salud advierte de los riesgos para la salud de la misma, entre la que se incluyen muertes prematuras o problemas de salud mental entre otros.En el presente trabajo se proponen diferentes medidas de actuación orientadas a la reducción de la pobreza energética. Por un lado se presentan medidas de tipo informativo, y por otro lado medidas de financiación a la inversión en soluciones definitivas, que permiten combatir el problema a medio y largo plazo. Se valora su alcance desde un enfoque de derechos humanos.
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    Subsidies for investing in energy efficiency measures: Applying a random forest model for unbalanced samples
    (Elsevier Ltd., 2024-04-01) Álvarez Díez, Susana; Baixauli Soler, Juan Samuel; Lozano Reina, Gabriel; Rodríguez Linares Rey, Diego; Organización de Empresas y Finanzas; Métodos Cuantitativos para la Economía y la Empresa; Facultades, Departamentos, Servicios y Escuelas::Departamentos de la UMU::Organización de Empresas y Finanzas; Facultades, Departamentos, Servicios y Escuelas::Departamentos de la UMU::Métodos Cuantitativos para la Economía y la Empresa
    Investing in energy efficiency measures is a major challenge for SMEs, both for environmental and economic reasons. However, certain barriers often make it difficult to invest in such measures. Although public financial support helps to overcome economic barriers, public bodies face the challenge of identifying which SMEs display the greatest potential to invest in energy efficiency measures. By applying a random forest technique and by using sampling balancing techniques, this paper identifies the profile of industrial SMEs that might be potential beneficiaries of public aid, thereby helping public institutions to target their calls and direct their efforts towards this group of SMEs. Specifically, liquidity and indebtedness are found to be the most useful predictors for SMEs in the industrial sector. The results are robust and reveal that applying a random forest approach for unbalanced samples offers greater predictive capacity and statistical power than applying traditional estimation techniques. By identifying potentially benefiting firms, this work helps to boost the effectiveness of public subsidies and to improve the channeling of public funds, which ultimately favors investment in energy efficiency.
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    Wrong-Path-Aware Entangling Instruction Prefetcher
    (Institute of Electrical and Electronics Engineers, 2024) Ros, Alberto; Ingeniería y Tecnología de Computadores
    Instruction prefetching is instrumental for guaranteeing a high flow of instructions through the processor front end for applications whose working set does not fit in the lowerlevel caches. Examples of such applications are server workloads, whose instruction footprints are constantly growing. There are two main techniques to mitigate this problem: fetch directed prefetching (or decoupled front end) and instruction cache (L1I) prefetching. This work extends the state-of-the-art Entangling prefetcher to avoid training during wrong-path execution. Our Entangling wrong-path-aware prefetcher is equipped with microarchitectural techniques that eliminate more than 99% of wrong-path pollution, thus reaching 98.9% of the performance of an ideal wrongpath-aware solution. Next, we propose two microarchitectural optimizations able to further increase performance benefits by 1.8%, on average. All this is achieved with just 304 bytes. Finally, we study the interplay between the L1I prefetcher and a decoupled front end. Our analysis shows that due to pollution caused by wrong-path instructions, the degree of decoupling cannot be increased unlimitedly without negative effects on the energy-delay product (EDP). Furthermore, the closer to ideal is the L1I prefetcher, the less decoupling is required. For example, our Entangling prefetcher reaches an optimal EDP with a decoupling degree of 64 instructions.