mpC is a medium-level parallel language for programming heterogeneous networks of computers. It allows to write libraries of parallel routines adaptable to peculiarities of any particular executing multiprocessor syst...
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ISBN:
(纸本)3540648097
mpC is a medium-level parallel language for programming heterogeneous networks of computers. It allows to write libraries of parallel routines adaptable to peculiarities of any particular executing multiprocessor system to ensure efficient running. The adaptable routines distribute data and computations in accordance with performances of participating processors. In this case even the problems traditionally considered regular, become irregular. Advantages of mpC for efficient solving of regular problems on heterogeneous networks of computers are demonstrated with an mpC routine implementing Cholesky factorization, with efficiency of the mpC routine being compared with ScaLAPACK one.
The description of the parallel solver of the Particle Finite Element Method, 2nd generation (PFEM-2), is given. Strategies for the parallelization of both mesh-related and particle-related substeps are outlined. The ...
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The paper is focused on the validation of the developed open-source library libAcoustics for the far-field noise prediction by means of integral acoustic analogy. The library uses OpenFOAM for the near-field flow calc...
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The paper presents the experience of the authors in model based testing of safety critical real-Time control logic software. It describes specifics of the corresponding industrial settings and discusses technical deta...
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The Delayed Detached Eddy Simulation(DDES) of the DARPA Suboff, including self-propulsion with sail, fins and seven-blade propeller, is performed at high Reynolds number and pitch-angle inflow besed OpenFOAM, the mixi...
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Approaches based on state machines are widely used to obtain guaranteed error coverage tests for discrete event systems. Many modern systems have time-dependent components, and thus, state machines are extended with c...
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Video classification problem has been studied many years. The success of Convolutional Neural Networks (CNN) in image recognition tasks gives a powerful incentive for researchers to create more advanced video classifi...
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Bottom-up segmentation approaches, where words are combined into lines, lines into paragraphs, etc., are well-known nowadays. In this work, we use this principle for classification of segments. The features of the blo...
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The paper is devoted to modelling and analysis of unsteady turbulent flow in a model combustor (channel) using LES (Large Eddy Simulation). Simulations were provided for 2D and 3D cases on different grids of a flow in...
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ISBN:
(纸本)9786188284401
The paper is devoted to modelling and analysis of unsteady turbulent flow in a model combustor (channel) using LES (Large Eddy Simulation). Simulations were provided for 2D and 3D cases on different grids of a flow in a channel with rearward facing step. The calculation of a flow in a channel was performed on high performance cluster, using the new approach in Apache Spark framework and POD, DMD data processing algorithms. First 4 dynamic modes were defined.
Dynamic symbolic execution (DSE) is a powerful method for path exploration during hybrid fuzzing and automatic bug detection. We propose security predicates to effectively detect undefined behavior and memory access v...
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