Results 31 to 40 of about 48,067 (311)
AUTOMATED EXTRACTION OF LIVER OUTLINES FROM COMPUTED TOMOGRAPHY SCAN IMAGES USING A CUDA-BASED SEGMENTATION METHOD [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2019 The traditional fast marching algorithm for segmentation of the liver is suitable for processing on the central processing unit (CPU) platform, however, it is not suitable for implementation on Graphics Processing Unit (GPU).
Y. Chen, D. Li, Q. Zhu, C. Wang, J. Li
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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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Challenges of the Knowledge Society, 2012 Since the first idea of using GPU to general purpose computing, things have evolved over the years and now there are several approaches to GPU programming. GPU computing practically began with the introduction of CUDA (Compute Unified Device Architecture)
BOGDAN OANCEA +2 more
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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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IEEE Open Journal of Circuits and Systems, 2021 The possibility of using the increasing computing power available in cloud infrastructures requires the development of new approaches for application software development and optimization.
Aurelien Bloch +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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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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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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