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D. Jose Manuel Navarro Jimenez
The Department of Mechanical and Materials Engineering has developed a 2D Finite Element code based on geometry independent Cartesian grids (cgFEM) capable of solving shape optimization problems as well as making patientspecific analyses using medical images. A similar code in 3D (FEAVox) is currently under development. Both codes are implemented in MATLAB, a simple and […]
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Thijs van Wingerden
A novel approach is presented to render large voxel scenes in real-time. The approach differs from existing solutions in that a large emphasis is put on allowing the user to edit and stream large datasets. Previous solutions often use compression schemes involving hierarchical data layouts such as sparse voxel octrees that require some form of […]
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Sander Lijbrink
The Xeon Phi is a coprocessor first released in 2012 by Intel. With x86 instruction set support, 60 cores and up to 2 teraflops of single-precision performance, the Xeon Phi seems promising and has gained wide interest. The world’s fastest supercomputer to date, the Tianhe-2, features the Xeon Phi, so does the recently announced 180 […]
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Tobias Axell, Mattias Friden
Parallel CPU implementations of a viewshed algorithm using both multithreading and SIMD vectorization and GPU implementations were implemented and compared in this study. The results show that parallelism is essential for achieving good performance on a CPU, and that data transfer can be partly overlapped by computations to hide some of the overheads in GPU […]
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Carlo D'Eramo
The Deep Boltzmann Machine (DBM) has been proved to be one of the most effective machine learning generative models in discriminative tasks. They’ve been able to overcome other generative, and even discriminative models, on relatively simple tasks, such as digits recognition, and also on more complex tasks such as simple objects recognition. However, there’re only […]
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Aleksei Tepljakov
The aim of this thesis is to explore different methods for helping computers interpret the real world visually, investigate solutions to those methods offered by the open-sourced computer vision library, OpenCV, and implement some of these in a Raspberry Pi based application for detecting and keeping track of objects. The main focus rests on the […]
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Ashish Bhatnagar
Present day market offers a large number of movies which overwhelm people with choices. In order to quickly navigate through all the possible movies and find the interesting ones, the user can take advantage of recommender systems for movies. This thesis studies a movie recommender system which uses image processing and computer vision algorithms. The […]
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Christian Pinto
During the last few decades an unprecedented technological growth has been at the center of the embedded systems design paramount, with Moore’s Law being the leading factor of this trend. Today in fact an ever increasing number of cores can be integrated on the same die, marking the transition from state-of-the-art multi-core chips to the […]
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Akash Kiran Neelap
The advancements in computing have led to tremendous increase in the amount of data being generated every minute, which needs to be stored or transferred maintaining high level of security. The military and armed forces today heavily rely on computers to store huge amount of important and secret data, that holds a big deal for […]
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Murali Krishna Emani
Modern day hardware platforms are parallel and diverse, ranging from mobiles to data centers. Mainstream parallel applications execute in the same system competing for resources. This resource contention may lead to a drastic degradation in a program’s performance. In addition, the execution environment composed of workloads and hardware resources, is dynamic and unpredictable. Efficient matching […]
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Tao Zhang
In recent years, GPGPUs have experienced tremendous growth as general-purpose and high-throughput computing devices. Applications from various domains achieve significant speedups using GPGPUs. However, irregular applications do not perform well due to the mismatches between irregular problem structures and SIMD-like GPU architectures. The lack of in-depth characterization and quantifying the ways in which irregular applications […]
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Boyang Gao
Digitalized music production exploded in the past decade. Huge amount of data drives the development of effective and efficient methods for automatic music analysis and retrieval. This thesis focuses on performing semantic analysis of music, in particular mood and genre classification, with low level and mid level features since the mood and genre are among […]
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