Results 31 to 40 of about 1,689,660 (282)
Parallel Sequential Monte Carlo for Efficient Density Combination: The DeCo MATLAB Toolbox
Journal of Statistical Software, 2015 This paper presents the MATLAB package DeCo (density combination) which is based on the paper by Billio, Casarin, Ravazzolo, and van Dijk (2013) where a constructive Bayesian approach is presented for combining predictive densities originating from ...
Roberto Casarin +3 more
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Accelerating Apriori Algorithm of GPU Cluster Based on Hadoop Platform [PDF]
Jisuanji gongcheng, 2018 Aiming at the problem that the Apriori algorithm has limited computing power in the Hadoop platform,the GPU with Hadoop is combined with Hadoop,and a computing structure of GPU-Hadoop is proposed.Through the MapReduce framework of the Hadoop platform ...
QU Shiqi,LIU Shaojiang,NI Weichuan,YU Qingmao
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Performances of the CFD open-source HPC platform TRUST on GPUs [PDF]
EPJ Web of ConferencesTRUST is a versatile open-source CFD tool developed by the CEA since 1993. Initially designed for nuclear applications, TRUST has evolved to tackle a range of thermohydraulic challenges, from one-phase to multiphase flows.
Saikali Elie +2 more
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Opportunistic computing in GPU architectures [PDF]
Proceedings of the 46th International Symposium on Computer Architecture, 2019 Data transfer overhead between computing cores and memory hierarchy has been a persistent issue for von Neumann architectures and the problem has only become more challenging with the emergence of manycore systems. A conceptually powerful approach to mitigate this overhead is to bring the computation closer to data, known as Near Data Computing (NDC ...
Ashutosh Pattnaik +7 more
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Multi-GPU Acceleration for Finite Element Analysis in Structural Mechanics
Applied SciencesThis work evaluates the computing performance of finite element analysis in structural mechanics using modern multi-GPU systems. We can avoid the usual memory limitations when using one GPU device for many-core computing using multiple GPUs for ...
David Herrero-Pérez +1 more
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Parallel computing solutions for Markov chain spatial sequential simulation of categorical fields
International Journal of Digital Earth, 2019 The Markov chain random field (MCRF) model is a spatial statistical approach for modeling categorical spatial variables in multiple dimensions. However, this approach tends to be computationally costly when dealing with large data sets because of its ...
Weixing Zhang +3 more
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A Heterogeneous Parallel Cholesky Block Factorization Algorithm
IEEE Access, 2018 As an essential part of current mainstream computing systems, GPUs are not only powerful graphics engines but also highly parallel programmable processors.
Rongteng Wu
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GPU Acceleration of Hydraulic Transient Simulations of Large-Scale Water Supply Systems
Applied Sciences, 2018 Simulating hydraulic transients in ultra-long water (oil, gas) transmission or large-scale distribution systems are time-consuming, and exploring ways to improve the simulation efficiency is an essential research direction. The parallel implementation of
Wanwan Meng +5 more
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Reconfigurable and High-Efficiency Password Recovery Algorithms Based on HRCA
IEEE Access, 2021 Cryptographic algorithms are widely used in information security fields such as network protocol authentication and commercial encryption software. Password recovery based on the hash algorithm is an important means of electronic forensics, encrypted ...
Bin Li, Feng Feng, Xiaojie Chen, Yan Cao
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MIMO Radar Parallel Simulation System Based on CPU/GPU Architecture
Sensors, 2022 The data volume and computation task of MIMO radar is huge; a very high-speed computation is necessary for its real-time processing. In this paper, we mainly study the time division MIMO radar signal processing flow, propose an improved MIMO radar signal
Gaogao Liu +8 more
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