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Su, Kexin (author)General-purpose GPUs, renowned for their exceptional parallel processing capabilities and throughput, hold great promise for enhancing the efficiency of data analytics tasks. At the same time, recent developments in query execution engines have integrated the support of OLAP operations in a way that benefits from the zero serialization overhead...master thesis 2023
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Karatza, Dimitra (author)The current trend towards the integration of artificial intelligence (AI) and graphics processing unit (GPU) technologies has resulted in the development of embedded hybrid GPU-AI accelerators, which offer high computational power and energy efficiency. One of the key challenges in designing such accelerators is ensuring their timing correctness...master thesis 2023
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Goudriaan, Sven (author)Proton irradiation therapy is a powerful form of cancer treatment, promising better dose conformity as compared to conventional radiotherapy. Due to the complex scattering properties of protons, the optimization process that is needed to accurately target the cancer cells whilst causing minimal damage to<br/>the surrounding healthy tissue and...bachelor thesis 2023
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de Laat, Willem (author)The need to receive and process higher data rates in computer clusters is an ever-increasing trend. This also applies to radio-astronomic systems, which have become more distributed over the past decades, increasing data traffic between antennas and processing facilities. At the antenna, Field Programmable Gate Arrays (FPGAs) digitise the radio...master thesis 2022
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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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Verschoor, Fleur (author)Satellite data, such as optical and Synthetic Aperture Radar imagery, can provide information about the location and level of destruction caused by natural hazards. This information is essential to optimise the rescue mission logistics by humanitarian aid organisations and save people in need. Currently, many Automatic Damage Assessment (ADA)...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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Hoofwijk, Jorn (author)In finite element software one has to solve a system of non-linear equations, which is commonly simplified to a sequence of linear system. We research the possibility to solve these systems on a GPU to improve the solve time. We are particularly interested in systems arising from geotechnical models. We compare several combinations of Krylov...master thesis 2022
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Raateland, Wouter (author)Grid-based fluid simulations are often limited in resolution by their high memory usage and computational costs. One approach to reducing memory usage and computational costs is to vary the grid resolution over the spatial domain. We introduce DCGrid, a new data structure for fluid simulations. DCGrid is suited for instantiation in GPU memory...master thesis 2021
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Nayak, Arvind (author)Computing portfolio credit losses and associated risk sensitivities is crucial for the financial industry to help guard against unexpected events. Quantitative models play an instrumental role to this end. As a direct consequence of their probabilistic nature, portfolio losses are usually simulated using Monte Carlo copula models, which in turn...master thesis 2021
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Meyer, Johann (author)Aircraft are complex systems with, in some cases, high-dimensional nonlinear interactions between control surfaces. When a failure occurs, adaptive flight control methods can be utilised to stabilise and make the aircraft controllable. Adaptive flight control methods, however, require accurate aerodynamic models - where first-order continuity is...master thesis 2021
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Arvanitis, Petros (author)Whisker tracking in rodents is an ongoing research in neuroscience. Neuroscientists have recorded experiments with high-speed cameras in which untrimmed, head-restrained mice are provided with air stimuli. These videos required the development of algorithms to reliably track whisker movement. Recently, a Whisker Tracking System, WhiskEras,...master thesis 2021
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Gravendeel, Rory (author)When creating electronic devices, it is essential to model what happens when an electromagnetic field hits the device and it scatters. Conventionally, this can be modelled using the Marching-on-in-Time algorithm. This can become computationally expensive for complex systems. To speed up the algorithm, the Plane-Wave Time-Domain algorithm is...master thesis 2020
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Budko, Ariena (author)In this paper the research behind the parallelization on the GPU of the time parallel time integration method Parareal. Firstly, the theory behind Parareal and its convergence theorems will be detailed. Then, two test models, the Lorenz system and Heat diffusion equation, will be introduced. Additionally, the derivation of the Forward Euler and...bachelor thesis 2020
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Berkers, Martijn (author)The application of accelerators in HPC applications has seen enormous growth in the last decade. In the field of HPC demands on throughput are steadily growing. <br/>Not all of the algorithms used have a clear HW architecture which performs the best. Our work explores the performance of different HW architectures in solving a convex optimization...master thesis 2020
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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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Ament, Tjalling (author)To optimize the exploitation of oil and gas reservoirs both on- and offshore, Biodentfiy has developed a method to predict prospectivity of hydrocarbons before drilling. This method uses microbiological DNA analysis of shallow soil or seabed samples to detect vertical upward microseepage from hydrocarbon accumulations, which change the...master thesis 2020
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Lévy, Jonathan (author)DNA aligning is a compute-intensive and time-consuming task required for all further DNA processing. It consists in finding for each DNA string from a sample its location in a reference genome. Usual techniques for short reads (hundreds of bases) involve seed-extension, where a small matching seed is found with quick search through FM-index and...master thesis 2019
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van der Vlag, Michiel (author)Current brain simulators do no scale linearly to realistic problem sizes (e.g. >100,000 neurons), which makes them impractical for researchers. The goal of the thesis is to explore the use of true multi-GPU acceleration on computationally challenging brain models and to assess the scalability of such models given sufficient access to multi...master thesis 2019