Displaying similar documents to “Pipelined Decomposable BSP Computers”

Explicit integration of equations of motion solved on computer cluster

Rek, Václav

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In the last decade the dramatic onset of multicore and multi-processor systems in combination with the possibilities which now provide modern computer networks have risen. The complexity and size of the investigated models are constantly increasing due to the high computational complexity of computational tasks in dynamics and statics of structures, mainly because of the nonlinear character of the solved models. Any possibility to speed up such calculation procedures is more than desirable....

Pipelined decomposable BSP computers

Martin Beran (2002)

RAIRO - Theoretical Informatics and Applications - Informatique Théorique et Applications

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The class of weak parallel machines is interesting, because it contains some realistic parallel machine models, especially suitable for pipelined computations. We prove that a modification of the bulk synchronous parallel (BSP) machine model, called decomposable BSP (dBSP), belongs to the class of weak parallel machines if restricted properly. We will also correct some earlier results about pipelined parallel Turing machines.

Parallel navigation for 3-D autonomous vehicles

Shulin Feng, Shuning Zhang, Mingming Xu, Guanlong Deng (2023)

Kybernetika

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In this paper, parallel navigation is proposed to track the target in three-dimensional space. Firstly, the polar kinematics models for the vehicle and the target are established. Secondly, parallel navigation is derived by using polar kinematics models. Thirdly, cell decomposition method is applied to implement obstacle avoidance. Fourthly, a brief study is given on the influence of uncertainties. Finally, simulations are conducted by MATLAB. Simulation results demonstrate the effectiveness...

Maxwell-Kelvin model for highloft materials

Přívratská, Jana, Jirsák, Oldřich, Bharanitharan, R.

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Compression behaviour and elastic recovery of highloft materials are described by the Maxwell-Kelvin rheological model. We present an algorithm how to determine input parameters for this rheological model using experimental data.