Results 21 to 30 of about 573,153 (341)
Parallel multigrid method for solving inverse problems
MethodsX, 2022 We considered in this work the linear operator equation and used the Landweber iterative method as an iterative solver. After that, we used the multigrid method as an optimization method for obtaining an approximation solution with a highly accurate and ...
H.K. Al-Mahdawi +5 more
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Numerical simulation of 2D electrodynamic problems with unstructured triangular meshes [PDF]
Компьютерная оптика, 2019 We present a generalization of standard leap-frog plus Yee mesh approach for Cauchy problem in electrodynamics simulations on unstructured triangulated mesh.
Daniil Fadeev
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Parallel Computation of Echelon Forms [PDF]
European Conference on Parallel Processing, 2014 We propose efficient parallel algorithms and implementations on shared memory architectures of LU factorization over a finite field. Compared to the corresponding numerical routines, we have identified three main specifities of linear algebra over finite
J. Dumas +3 more
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A switched dynamical system framework for analysis of massively parallel asynchronous numerical algorithms [PDF]
American Control Conference, 2015 In the near future, massively parallel computing systems will be necessary to solve computation intensive applications. The key bottleneck in massively parallel implementation of numerical algorithms is the synchronization of data across processing ...
Kooktae Lee, R. Bhattacharya, V. Gupta
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Mobile Edge Computing for Cellular-Connected UAV: Computation Offloading and Trajectory Optimization [PDF]
International Workshop on Signal Processing Advances in Wireless Communications, 2018 This paper studies a new mobile edge computing (MEC) setup where an unmanned aerial vehicle (UAV) is served by cellular ground base stations (GBSs) for computation offloading.
Xiaowen Cao, Jie Xu, Rui Zhang
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Entropy, 2021 Over recent decades, tremendous advances in the field of scalable numerical tools and mesh immersion techniques have been achieved to improve numerical efficiency while preserving a good quality of the obtained results.
Nesrine Aissa +5 more
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Parallel Implementation of Katsevich's FBP Algorithm
International Journal of Biomedical Imaging, 2006 For spiral cone-beam CT, parallel computing is an effective approach to resolving the problem of heavy computation burden. It is well known that the major computation time is spent in the backprojection step for either filtered-backprojection (FBP) or ...
Jiansheng Yang +4 more
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Co-design of Parallel Numerical Methods for Plasma Physics and Astrophysics
Supercomputing Frontiers and Innovations, 2014 Physically meaningful simulations in plasma physics and astrophysics need powerful hybrid supercomputers equipped with computation accelerators. The development of parallel numerical codes for such supercomputers is a complex scientific problem. In order
B. Glinskiy +5 more
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Python Parallel Processing and Multiprocessing: A Rivew
Academic Journal of Nawroz University, 2021 Parallel and multiprocessing algorithms break down significant numerical problems into smaller subtasks, reducing the total computing time on multiprocessor and multicore computers.
Zina A. Aziz +3 more
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Teraflops Computing: A Challenge to Parallel Numerics? [PDF]
, 1999 Following in the wake of the Accelerated Strategic Computing Initiative (ASCI) of the US Department of Energy, in the forthcoming years powerful new supercomputers will be brought into the market by the manufacturers participating in the high-performance computing race.
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