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Hadnagy, A. (author)Recent trends in large-scale computing demonstrate continuous growth in the need for raw processing performance. At the same time, the slowdown of vertical scaling pushes the industry towards more energy-efficient heterogeneous architectures. With the appearance of FPGAs in the cloud and data centers, a new architecture is offered for offloading...master thesis 2020
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den Boer, Hans (author)Recently, interest in the use of deep learning technology for RF applications has increased. However, many of these studies are focused on developing deep learning models for a particular RF application. Therefore this master thesis focuses on the implementation of these kinds of deep learning models by using FPGAs such that these deep learning...master thesis 2021
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Van der Leije, M.R. (author)Unbalanced transaction can lead to addition and deletions in genes, which can be an indication of tumor cells. This is measured with array Comparative Genomic Hybridization. To find co-occurring aberrations in DNA, an algorithm was designed. However the execution takes days to find these DNA aberrations. This thesis proposes a partial FPGA based...master thesis 2009
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Geel, Patrick (author)The demand for implementing neural networks on edge devices has rapidly increased as they allow designers to move away from expensive server-grade hardware. However, due to the limited resources available on edge devices, it is challenging to implement complex neural networks. This study selected the Kria SoM KV260 hardware platform due to its...master thesis 2023
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Zhang, L. (author)Stereo matching has been widely used in many fields, such as viewpoint interpolation, feature detection system and free-view TV. However, the long processing time of stereo matching algorithms has been the major bottleneck that limits their real-time applications. During the past decades, many implementation platforms and corresponding algorithm...master thesis 2010
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Vermaat, Bas (author)The ρ-VEX is a processor designed at the Computer Engineering lab at TU Delft to be reconfigurable at runtime, resulting in a processor that can combine or separate instruction lanes according to the program requirements. The current cache for the ρ-VEX processor is direct mapped and always identical to the instruction group configuration. This...master thesis 2021
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Escudero Martínez, M. (author)Prototyping Systems on Chip (SoC) on FPGA technology improves the time that the de- signer needs to spend in the verification stage when developing new systems or upgrading the existing ones. However, FPGA prototyping is very challenging due to the few resources available in this chips, and often the large designs do not fit into one single FPGA...master thesis 2010
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Padmanabharao, P.K. (author)Next Generation Sequencing technologies have had a tremendous impact on our understanding of DNA and its role in living organisms. The cost of DNA sequencing has decreased drastically over the past decade, leading the way for personalised genomics. Sequencers provide millions of fragments of DNA (termed short reads), which have to be aligned...master thesis 2014
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Qiao, Yang (author)New interfaces to interconnect CPUs and accelerators at memory-class bandwidth pose new opportunities and challenges for the design of accelerators. This thesis studies one such accelerator, a decompressor for Parquet files compressed with the Snappy library. Our design targets reconfigurable logic (FPGAs) attached via the open coherent...master thesis 2018
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Joshi, Ayush (author)Partial Discharges(PD) are commonly produced in defects within the insulation systems of high voltage equipment. These discharges are typically nanosecond current pulses in the amplitude range of milli-amperes. A long term exposure of the insulation system to these partial discharges accelerate the aging mechanisms that eventually lead to the...master thesis 2017
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Homulle, H.A.R. (author)For the master project work was carried out for the development of a fluorescence lifetime imaging probe for fluorescence guided surgery. For this project a prototype was designed. The work on the prototype was divided into three main parts, hardware, firmware / software, and system / optics. In this thesis the firmware / software of the system...master thesis 2014
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Al-Hilli, Z.Q.K. (author)Recent trends in studying the brain activity have attracted interest in the simulation of neurons to understand the brain functionality. However, these simulations are computationally intensive and time consuming, which limits this study. High-performance FPGA-based platforms are being utilized to accelerate these simulations. However, the...master thesis 2012
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de Rooij, Martijn (author)Low latency Convolutional Neural Network (CNN) inference research is gaining more and more momentum for tasks such as speech and image classications. This is because CNNs have the ability to surpass human accuracy in classication of images. For improving the measurement setup of gravitational waves, low latency CNNs inference are researched. The...master thesis 2021
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Ntasios, Angelos (author)The last years, there has been a increasing trend in embedded system and FPGA im-plementations for greater flexibility and also, a rising adaptation of heterogeneous plat-forms. These platforms often include FPGAs and embedded cores side by side.ρ-VEXcore, developed and maintained by the Computer Engineering group of TU Delft, is aVLIW processor...master thesis 2019
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Overwater, Ramon (author)The quantum bits (qubits) at the core of any quantum computers are so fragile that quantum error correction(QEC) schemes are needed to increase their robustness and enable fault-tolerant quantum algorithms. The surface code is one of the most popular QEC schemes, but it requires the availability of an efficient decoder. While neural networks...master thesis 2019
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Van Wijnen, P.A. (author)This thesis presents a feasibility analysis for hardware acceleration of the pattern recognition algorithms used by the Media Knowledge Engineering department at the Delft University of Technology. The feasibility analysis is conducted on a number of different algorithm classes. The Parzen Window algorithm appeared to be the most suitable option...master thesis 2009
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de Jong, Jan (author)Functional ultrasound is by now a well-established technique in the neuroscience community to measure brain activity. However, the transcranial application of functional ultrasound on humans, with the exception of the acoustic windows in the skull, remains a huge challenge because of the properties of the cranial bone the acoustic waves will...master thesis 2022
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Yönsel, Yüksel (author)There has been an increasing interest in moving computation closer to storage in recent years due to significant improvements in memory technology. FPGAs were proven to be an exciting candidate for accelerating database workloads since they provide an energy-efficient, reconfigurable and high-performance computation platform. Therefore, FPGAs...master thesis 2021
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Nonnenmacher, F.M. (author)Through new digital business models, the importance of big data analytics continuously grows. Initially, data analytics clusters were mainly bounded by the throughput of network links and the performance of I/O operations. With current hardware development, this has changed, and often the performance of CPUs and memory access became the new...master thesis 2020
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Thomas, A. (author)IWEX stands for Invers Wavefield Extrapolation and is commonly used in seismic exploration. Niels Pörtzgen[15] showed that this technique can also be used for inspection of welds. This thesis describes two domains in which the IWEX algorithm can be calculated. The time domain which has a quantization problem and the frequency domain which is...master thesis 2009