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  1. 2341
    “…Subsequently, we evaluate the evolutionary performance of the SONG algorithm on real-world vehicular traces against three quality indicators: Hyper-Volume (HV), Inverted Generational Distance (IGD) and CPU delay gap. The empirical results show that SONG exhibits improved solution quality over the NSGA-II and SMPSO algorithms and hence can be utilized as a potential tool by the service providers for the planning and design of VFC networks.…”
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  2. 2342
    “…All the theoretical results are thoroughly validated numerically both on linear and non-linear problems, and error-CPU time curves are provided. Our final conclusions suggest that Cubature elements combined with SSPRK and OSS stabilization is the most promising combination.…”
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  3. 2343
    “…For moving or deforming solids, the interpolation weights of all the immersed boundary points ought to be updated every time step, which takes quite a lot CPU time. Since the interpolation procedure within all uniform structured grids is highly repetitive and very similar, we propose a simple and generalized Discretized Immersed Boundary Method (DIBM), which significantly improves efficiency by discretizing the interpolation functions onto subgrid points within each control volume and reusing a predefined universal interpolation stencil. …”
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  4. 2344
    “…For GWAS, the multi-locus Fixed and Random Model Circulating Probability Unification (FarmCPU) model was applied. Broad-sense heritability estimates were high, ranging from 0.63 (for grain yield) to 0.97 (for thousand-kernel weight). …”
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  5. 2345
    “…Seeds from three consecutive years were exposed to polyethylene glycol 12% (PEG-6000) and a control treatment (distilled water). The Farm-CPU method was used for the association analysis with 17,093 polymorphic SNPs. …”
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  6. 2346
    “…According to our experiments on 1-D CNN, the accelerator can achieve 43.08× and 8.38× speedup compared with the software implementations on ARM-Cortex A53 quad-core processor and Intel Core i7-8700 CPU, respectively. For the heart rate estimator, the hardware implementations are 25.48× and 1.55× faster than the software implementations on the two aforementioned platforms. …”
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  7. 2347
    “…The widely used NEural Simulation Tool (NEST) parallelizes simulation across multiple CPU cores. The GPU-enhanced Neural Network (GeNN) simulator uses the highly parallel GPU-based architecture to gain simulation speed. …”
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  8. 2348
    por Anaya Rodríguez, Dr. Roberto
    Publicado 2014
    “…Investigación que requiere de escenarios académicos de difusión y discusión que logren integrar en su propia naturaleza prácticas democráticas de apertura a la contribución de los diversos sectores académicos, sociales y políticos involucrados en la producción del conocimiento científico, y cuya difusión permita un diálogo incluyente en torno al conocimiento vertido en las investigaciones, prácticas educativas y discusiones teórico-metodológicas.Desde este espacio editorial y en el contexto anterior, se considera a la comunidad académica un actor social relevante en el avance de la democracia. Por ello, la CPU-e, Revista de Investigación Educativa, considerando una política editorial de acceso gratuito y libre impresión, brinda un espacio de debate, reflexión y análisis sobre procesos de coyuntura, con la perspectiva de aportar recursos teóricos y prácticos para los distintos niveles educativos, recibiendo contribuciones de investigadores nacionales o extranjeros de diversas áreas del conocimiento interesados en la educación. …”
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  9. 2349
    “…Using Xmipp, the classification of 91,000 ribosome projections into 4 classes took more than 2500 CPU hours using the resources of the MareNostrum supercomputer at the Barcelona Supercomputing Centre. …”
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  10. 2350
    por Chen, Zhilin
    Publicado 2011
    “…To meet these requirements, a novel globally distributed model for data storage and CPU power was chosen: the Worldwide LHC Computing Grid (WLCG). …”
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  11. 2351
    por Spiga, Filippo
    Publicado 2011
    “…An analysis of the trends in High Performance Computing clearly show that we hit several barriers (CPU frequency, power consumption, technological limits, limitations of the present paradigms) that we cannot easily overcome. …”
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  12. 2352
    por Rauschmayr, Nathalie
    Publicado 2015
    “…Until now, there are still many unsolved issues regarding software, scheduling, CPU accounting, task queues, which need to be solved by grid sites and experiments. …”
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  13. 2353
    “…For ease of testing, we have used the Gaudi execution flow simulator to run a production ATLAS reconstruction scenario consisting of 309 Algorithms, modeled by synthetic CPU burners constrained by the data dependencies, and run for the time duration of the original Algorithms. …”
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  14. 2354
    por Hennessy, Karol, Prieto, Antonio Fernandez, Regueiro, Pablo Vazquez, Buytaert, Jan, Van Beuzekom, Martin, Cid, Edgar Lemos, Eklund, Lars, de Bruyn, Kristof, Naik, Sneha, Schiller, Manuel, Murray, Donal, Leflat, Alexander, Bassi, Giovanni, Punzi, Giovanni, Lazzari, Federico, Morello, Michael J, Garcia, Oscar Boente, Torreira, Abraham Gallas, Plana, Beatriz Garcia, Bowcock, Themis, Dettori, Francesco, Dreimanis, Karlis, Lima, Vinicius Franco, Hutchcroft, David, Rinnert, Kurt, Shears, Tara, Augusto, Oscar, Coco, Victor, Collins, Paula, Evans, Tim, Ferro-Luzzi, Massi, Schindler, Heinrich, Akiba, Kazu, Occo, Elena Dall', Graz, Cristina Sanchez, Hulsbergen, Wouter, Hynds, Daniel, Kostiuk, Igor, Merk, Marcel, Snoch, Aleksandra, Bobulska, Dana Seman, Borghi, Silvia, de Capua, Stefano, Dutta, Deepanwita, Gersabeck, Marco, Parkes, Chris, Svihra, Peter, Williams, Mark, Bogdanova, Galina, Volkov, Vladimir, Kopciewicz, Pawel, Majewski, Maciej, Oblakowska-Mucha, Agnieszka, Rachwal, Bartlomej, Szumlak, Tomasz, Garcia, Lucas Meyer, Marinho, Franciole, Mendes, Larissa Helena, Nasteva, Irina, Otalora, Juan, Rodrigues, Gabriel, Velthuis, Jaap, Jalocha, Pawel, John, Malcolm, Jurik, Nathan, Scantlebury-Smead, Luke, Back, John, Gershon, Tim, Latham, Tom, Morris, Andrew
    Publicado 2021
    “…It is therefore essential to buffer and synchronize the data in firmware prior to onward propagation or suffer a huge CPU-processing penalty. This article will describe the architecture of the readout firmware in detail with focus given to the resynchronization mechanism and techniques for cauterization. …”
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  15. 2355
  16. 2356
  17. 2357
  18. 2358
  19. 2359
  20. 2360
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