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Bouter, P.A. (author)In recent years, the use of Artificial Intelligence (AI) has become prevalent in a large number of societally relevant, real-world problems, e.g., in the domains of engineering and health care. The field of Evolutionary Computation (EC) can be considered to be a sub-field of AI, concerning optimization using Evolutionary Algorithms (EAs), which...doctoral thesis 2023
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Bernardini, Matteo (author), Modesti, D. (author), Salvadore, Francesco (author), Sathyanarayana, Srikanth (author), Della Posta, Giacomo (author), Pirozzoli, Sergio (author)We present STREAmS-2.0, an updated version of the flow solver STREAmS, first introduced in Bernardini et al. (2021) [1]. STREAmS-2.0 has an object-oriented design which separates the physics equations from the specific back-end, making the code more suitable for future expansions, such as porting to novel computing architectures or...journal article 2023
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Bernardini, Matteo (author), Modesti, D. (author), Salvadore, Francesco (author), Pirozzoli, Sergio (author)We present STREAmS, an in-house high-fidelity solver for direct numerical simulations (DNS) of canonical compressible wall-bounded flows, namely turbulent plane channel, zero-pressure gradient turbulent boundary layer and supersonic oblique shock-wave/boundary layer interaction. The solver incorporates state-of-the-art numerical algorithms,...journal article 2021
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Chau, K.W. (author), Tang, Jok (author), Oosterlee, C.W. (author)In this work, we developed a Python demonstrator for pricing total valuation adjustment (XVA) based on the stochastic grid bundling method (SGBM). XVA is an advanced risk management concept which became relevant after the recent financial crisis. This work is a follow-up work on Chau and Oosterlee in (Int J Comput Math 96(11):2272–2301, 2019)...journal article 2020
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Machidon, Alina L. (author), Machidon, Octavian M. (author), Ciobanu, C.B. (author), Ogrutan, Petre L. (author)Remote sensing data has known an explosive growth in the past decade. This has led to the need for efficient dimensionality reduction techniques, mathematical procedures that transform the high-dimensional data into a meaningful, reduced representation. Projection Pursuit (PP) based algorithms were shown to be efficient solutions for...journal article 2020
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Miri Rostami, Seyyed Reza (author), Mozaffarzadeh, M. (author), Ghaffari-Miab, Mohsen (author), Hariri, Ali (author), Jokerst, Jesse (author)Double-stage delay-multiply-and-sum (DS-DMAS) is an algorithm proposed for photoacoustic image reconstruction. The DS-DMAS algorithm offers a higher contrast than conventional delay-and-sum and delay-multiply and-sum but at the expense of higher computational complexity. Here, we utilized a compute unified device architecture (CUDA) graphics...journal article 2019
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Aissa, M.H. (author)Design optimization relies heavily on time-consuming simulations, especially when using gradient-free optimization methods. These methods require a large number of simulations in order to get a remarkable improvement over reference designs, which are nowadays based on the accumulated engineering knowledge already quite optimal.<br/>High...doctoral thesis 2017
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Schalkwijk, J. (author)De vorige eeuw was getuige van de opkomst van numerieke weer- en klimaatmodellen. Weersvoorspelling, voorheen een empirische procedure gebaseerd op de persoonlijke ervaring van de meteoroloog, ontwikkelde zich tot een wetenschappelijke methode om de toekomstige toestand van de atmosfeer te voorspellen op basis van de huidige toestand en tendens....doctoral thesis 2015
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Knibbe, H.P. (author)The oil and gas industry makes use of computational intensive algorithms to provide an image of the subsurface. The image is obtained by sending wave energy into the subsurface and recording the signal required for a seismic wave to reflect back to the surface from the Earth interfaces that may have different physical properties. A seismic wave...doctoral thesis 2015
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Xu, S. (author)This thesis deals with two research problems. The first research problem is motivated by the numerical computation involved in the Time Domain Simulation (TDS) of Power Grids. Due to the ever growing size and complexity of Power Grids such as the China National Grid, accelerating TDS has become a stringent need for the online analysis of these...doctoral thesis 2011
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Performance modeling and optimization of sparse matrix-vector multiplication on NVIDIA CUDA platformXu, S. (author), Xue, W. (author), Lin, H.X. (author)In this article, we discuss the performance modeling and optimization of Sparse Matrix-Vector Multiplication (SpMV) on NVIDIA GPUs using CUDA. SpMV has a very low computation-data ratio and its performance is mainly bound by the memory bandwidth. We propose optimization of SpMV based on ELLPACK from two aspects: (1) enhanced performance for the...journal article 2011
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- Gupta, R. (author), Vuik, C. (author), Lemmens, C.W.J. (author) report 2010