Multi-beam coherent Fourier scatterometry

Inspection of surface and nanostructure imperfections play an important role in high-throughput manufacturing across various industries. This paper introduces a novel, parallelised version of the metrology and inspection technique: Coherent Fourier scatterometry (CFS). The proposed strategy employs parallelisation with multiple probes,...

Distributed ParaPy - Increasing The Computational Efficiency of KBE Models

As Knowledge Based Engineering (KBE) is gaining in popularity in the industry, the models developed with the technology grow in complexity. The larger KBE models suffer from long (re)generation times and outgrow the memory resources of standard desktop computer. In the meantime, the number of cores present in computer’s processors is steadily...

High Throughput Parallel Computation with High Bandwidth Memory on FPGA

With the increase of available storage bandwidth, CPUs can not keep up with the compute throughput needed to process this amount of incoming data. GPUs and FPGAs are generally better suited for such tasks. To assist FPGAs in their functions, some boards are equipped with one or more high bandwidth memory (HBM) stacks, with a bandwidth of 230 GB...

Restructuring medium voltage distribution grids: Parallel AC-DC reconfigurable links

Energy transition will inevitably lead to greater electrification. For example, it is anticipated that electrical energy demand will rise by at least 2-3 times by 2050 with increasing share of electric vehicles and heat pumps. This will translate to significant increase in power demand on the existing medium voltage distribution grid, resulting...

Parallel Approach to Derivative-Free Optimization: Implementing the DONE Algorithm on a GPU

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...

Parallelizing the Linkage Tree Genetic Algorithm and Searching for the Optimal Replacement for the Linkage Tree

The recently introduced Linkage Tree Genetic Algorithm (LTGA) has shown to exhibit excellent scalability on a variety of optimization problems. LTGA employs Linkage Trees (LTs) to identify and exploit linkage information between problem variables. In this work we present two parallel implementations of LTGA that enable us to leverage the...

On parallel scalability aspects of strongly coupled partitioned fluid-structure-acoustics interaction

Multi-physics simulations, such as fluid-structure-acoustics interaction (FSA), require a high performance computing environment in order to perform the simulation in a reasonable amount of computation time. Currently used coupling methods use a staggered execution of the fluid and solid solver [6], which leads to inherent load imbalances. In ...

Real-Time Optimistic Planning for the Control of Nonlinear Systems

Optimistic Planning is a model-based online planning algorithm that guarantees near-optimal actions for the control arbitrarily nonlinear systems. Planning algorithms aim to find optimal actions by starting from the current state and developing a tree representation of sequences of actions and resulting states, using a model to simulate state...

The Dynamic Monte Carlo Method for Transient Analysis of Nuclear Reactors

In this thesis a new method for the analysis of power transients in a nuclear reactor is developed, which is more accurate than the present state-of-the-art methods. Transient analysis is important tool when designing nuclear reactors, since they predict the behaviour of a reactor during changing conditions, such as a control-rod movement,...

Accelerating Graph Analysis with Heterogeneous Systems

Data analysis is a rising field of interest for computer science research due to the growing amount of information that is digitally available. This increase in data has as direct consequence that any analysis is significantly complex. By using structured representations for the data sets, like graphs, the analysis becomes feasible, but is still...

Parallel H.264 Decoding Strategies for Cell Broadband Engine

How to develop effcient and scalable parallel applications is the key challenge for emerging many-core architectures. We investigate this question by implementing and comparing two parallel H.264 decoders on the Cell architecture. It is expected that future many-cores will use a Cell-like local store memory hierarchy, rather than a non-scalable...

Development of a workload set for multi-core architectures

With the rise of multi-core chips in commodity hardware, the need for specialized workloads to evaluate the performance of multi-core systems has become apparent. The current generation of workloads used for evaluating multi-core systems often consist of sequential programs not capable of running on multiple processors and are therefore of...