14056
Bilel Ben Romdhanne
The simulation is a primary step on the evaluation process of modern networked systems. The scalability and efficiency of such a tool in view of increasing complexity of the emerging networks is a key to derive valuable results. The discrete event simulation is recognized as the most scalable model that copes with both parallel and […]
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Sebastian Oude Voshaar
In this thesis, the nucleation rate of almost hard spheres in a course-grained fluid is measured to study the effects of an explicit solvent on the nucleation rate. Previous measurements show a discrepancy between physical measurements and simulations, where the latter all used implicit solvents. In this thesis, the fluid is approximated using Stochastic Rotation […]
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Fatemah Ramzy AlZayer
We optimize parameters in OpenACC clauses for a stencil evaluation kernel executed on Graphical Processing Units (GPUs) using a variety of machine learning and optimization search algorithms, individually and in hybrid combinations, and compare execution time performance to the best possible obtained from brute force search. Several auto-tuning techniques – historic learning, random walk, simulated […]
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Yushan Wang
In this PhD thesis, we present our research in the domain of high performance software for computational fluid dynamics (CFD). With the increasing demand of high-resolution simulations, there is a need of numerical solvers that can fully take advantage of current manycore accelerated parallel architectures. In this thesis we focus more specifically on developing an […]
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Ondrej Mosnacek
Key derivation functions are a key element of many cryptographic applications. Password-based key derivation functions are designed specifically to derive cryptographic keys from low-entropy sources (such as passwords or passphrases) and to counter brute-force and dictionary attacks. However, the most widely adopted standard for password-based key derivation, PBKDF2, as implemented in most applications, is highly […]
Vinh Truong
The main topic of this thesis was to implement a computer program that can render photorealistic images by simulating the laws of physics. In practice the program builds an image by finding every possible path that a light ray can travel. Technique presented in this thesis will naturally simulate many physical phenomenons such as reflections, […]
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Amin Jarrah
The applications of digital signal processing continue to expand and use in many different areas such as signal processing, radar tracking, image processing, medical imaging, video broadcasting, and control algorithms for sensor array processing. Most of the signal processing applications are intensive and may not achieve the real time requirements. However, the Multi-core phenomenon has […]
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Joris Cramwinckel
In this thesis we present a state-of-the-art approach to accelerate Monte Carlo valuations of embedded options. Due to regulations and improved risk management, nested simulations (scenarios in scenarios) are becoming increasingly important for institutional investors like: insurance companies, pension funds and housing corporations. Preferably one wishes to use a framework in which multiple related problems […]
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Reza Nakhjavani
The ever increasing complexity of scientific applications has led to utilization of new HPC paradigms such as Graphical Processing Units (GPUs). However, modifying applications to run on GPU is challenging. Furthermore, the speedup achieved by using GPUs has added a huge heterogeneity to HPC clusters. In this dissertation, we enabled NPAIRS, a neuro-imaging application, to […]
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Lena Oden
Today, GPUs and other parallel accelerators are widely used in high performance computing, due to their high computational power and high performance per watt. Still, one of the main bottlenecks of GPU-accelerated cluster computing is the data transfer between distributed GPUs. This not only affects performance, but also power consumption. Often, a data transfer between […]
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Jack Edward Arnstein
Having learned a great deal about the problem and also the solutions over the course of this project, it is the opinion of the author that the method undertaken within this report is unsatisfactory for delivering performance enhancement over alternative approaches. Firstly the domain transfers result in reduced performance. For larger simulations these prove to […]
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Daniel Benjamin Taylor
Digital holograms, when combined with tracer particles, can be used for examining otherwise-invisible fluid flows. These holograms can be captured with standard digital imaging equipment, however processing them to extract tracer or particle locations is computationally expensive. Exacerbating the issue is that hundreds or thousands of holograms must be reconstructed to analyze a single flow.Presented […]
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