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Geography, Environment, Sustainability, 2021 The relationship between the dynamics of the atmospheric pollutants and meteorological conditions has been analyzed during the COVID-19 pandemic in Moscow in spring, 2020.
N. Ye. Chubarova +2 more
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Big Computing: Where are we heading? [PDF]
EAI Endorsed Transactions on Scalable Information Systems, 2020 This paper presents the overview of the current trends of Big data against the computing scenario fromdifferent aspects. Some of the important aspect includes the Exascale, the computing power and the kind of applications which offer the Big data.
Sabuzima Nayak +2 more
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Regional Dimension of history of Organs of GPU-OGPU: to the analysis of monograph by A. B. Gularyan and A. Yu. Sarana [PDF]
Омский научный вестник: Серия "Общество. История. Современность", 2023 The article characterizes the monograph of the Oryol researchers A. B. Gularyan and A. Yu. Saran, specialists in the history of domestic special services.
A. V. Sushko
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Frontiers in Earth Science, 2020 Probabilistic Tsunami Hazard Analysis (PTHA) quantifies the probability of exceeding a specified inundation intensity at a given location within a given time interval.
Steven J. Gibbons +21 more
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GPU ACCELERATION OF DOPPLER BROADENING FOR NEUTRON TRANSPORT CALCULATIONS1 [PDF]
EPJ Web of Conferences, 2021 In radiation transport calculations, the effects of material temperature on neutron/nucleus interactions must be taken into account through Doppler broadening adjustments to the microscopic cross section data.
Burke Paul E. +2 more
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FOCUS: fast Monte Carlo approach to coherence of undulator sources
Journal of Synchrotron Radiation, 2023 FOCUS (Fast Monte CarlO approach to Coherence of Undulator Sources) is a new GPU-based simulation code to compute the transverse coherence of undulator radiation from ultra-relativistic electrons.
M. Siano +10 more
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WFA-GPU: gap-affine pairwise read-alignment using GPUs
Bioinformatics, 2023 Abstract Motivation Advances in genomics and sequencing technologies demand faster and more scalable analysis methods that can process longer sequences with higher accuracy. However, classical pairwise alignment methods, based on dynamic programming (DP), impose impractical computational requirements ...
Aguado Puig, Quim +6 more
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Multi-GPU MapReduce on GPU Clusters [PDF]
2011 IEEE International Parallel & Distributed Processing Symposium, 2011 We present GPMR, our stand-alone MapReduce library that leverages the power of GPU clusters for large-scale computing. To better utilize the GPU, we modify MapReduce by combining large amounts of map and reduce items into chunks and using partial reductions and accumulation.
Stuart, Jeff A., Owens, John D.
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International Journal of Digital Earth, 2021 In this paper, we present a novel ocean visualization framework, which focuses on analyzing multidimensional and spatiotemporal ocean data. GPU-based visualization methods are explored to effectively visualize ocean data.
Fenglin Tian +3 more
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Accelerating Spatial Cross-Matching on CPU-GPU Hybrid Platform With CUDA and OpenACC
Frontiers in Big Data, 2020 Spatial cross-matching operation over geospatial polygonal datasets is a highly compute-intensive yet an essential task to a wide array of real-world applications. At the same time, modern computing systems are typically equipped with multiple processing
Furqan Baig +5 more
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