Searched for: subject%3A%22CUDA%22
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van Dijk, Julian (author)
The Hierarchical Subspace Iteration Method is a novel method used to compute eigenpairs of the Laplace-Beltrami problem. It reduces the number of iterations required for convergence by restricting the problem to a smaller space and prolonging the solution as a starting point. This method has shown great performance improvements for Laplace...
master thesis 2023
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Kuijpers, Mika (author)
Voxels are cells on a 3D regular grid. Voxel-based scenes have many applications, including frequent use in simulations or games. Over the years, the field of high-resolution voxel scenes has progressed significantly, allowing for compressing and real-time editing of high-resolution scenes. This possibility of editing high-resolution scenes led...
master thesis 2023
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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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Florescu, Stefanos (author)
Over the past 20 years, the cost of sequencing genomes has reduced drastically. As DNA data grows at an unprecedented rate, the need for fast and affordable software and hardware solutions for DNA analysis is higher than ever. A critical and time-consuming component in any DNA analysis pipeline is sequence alignment, which refers to mapping...
master thesis 2022
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Provó Kluit, Mark (author)
Large­scale machine learning frameworks can accelerate training of a neural network by per­ forming distributed training on a cluster using multiple GPUs per node and multiple nodes. Because distributed training on a cluster involves many nodes which need to communicate and load and exchange data, a machine learning framework may at certain...
master thesis 2022
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Lippmann, Philip (author)
The continued development of improved algorithms and architecture for numerical simulations is at the core of increased computational performance and, therefore, the ability to perform more complex and precise numerical simulations in less time in areas such as Computational Fluid Dynamics. Employing faster algorithms on more efficient...
master thesis 2022
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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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Buwalda, Floris (author)
In the past 15 years the field of general purpose computing on graphics processing units, or GPUs, has become well developed and the practice is becoming more mainstream. Computational demands of simulation software are continuously increasing. As such for many applications traditionally computed on the central processing unit the question...
master thesis 2020
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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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Geda, Márton (author)
Space mission complexity is constantly increasing, therefore there is a growing demand for highly accurate and fast trajectory design and simulation tools. Some astrodynamics applications, such as planetary protection simulations, require millions of total simulated years to quantify certain probabilities with a high confidence level. It is...
master thesis 2019
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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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Qiu, Tongdong (author)
Third generation sequencing machines produce reads with tens of thousands of base pairs.<br/>To perform de novo assembly, all reads must be compared with every other read to find overlaps.<br/>Finding overlaps with the optimal Smith-Waterman is not feasible, since the complexity of Smith-Waterman is quadratic with the length of the reads.<br/...
master thesis 2018
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Bakker, Paul (author)
Pavlovian eyeblink conditioning is a powerful experiment used in the field of neuroscience to measure multiple aspects of how we learn in our daily life. To track the movement of the eyelid during an experiment, researchers traditionally made use of potentiometers or electromyography (EMG). More recently, the use of computer vision and image...
master thesis 2017
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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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Arto Sanchez, Guillermo (author)
In optical imaging, image quality is not only determined by the system itself but also by the media in which light traverse. Differences in the refraction index of the media encountered by a light wavefront produces phase aberrations which distort the image received from the original object. Currently, there are two main approaches for solving...
master thesis 2017
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Monchen, G. (author)
Adaptive Optics (AO) play an essential role in the field of astronomical seeing for ground-based telescopes, providing a corrected image from the disturbance caused by the light having to travel through the turbulent atmosphere of our Earth. To provide us with more detailed images, the sizes of these telescopes are getting increasingly larger....
master thesis 2017
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Munnix, J.H.T. (author)
Researchers at Delft University of Technology have recently developed an algorithm for optimizing noisy, expensive and possibly nonconvex objective functions for which no derivatives are available. The data-based online nonlinear extremum-seeker (DONE) was originally developed for sensorless wavefront aberration correction in optical coherence...
master thesis 2016
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Dondorp, M.E. (author)
This report has been written to serve as an introduction to the basics of GPU computing for mechanical engineers working in the field of structural optimization. In this work, the ability of GPUs to reduce the computation time of topology optimization problems is investigated. The programming paradigm of data parallel computing is introduced....
master thesis 2016
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