Optimal Mixing Evolutionary Algorithms for Large-Scale Real-Valued Optimization: Including Real-World Medical Applications

In recent years, the use of Artificial Intelligence (AI) has become prevalent in a large number of societally relevant, real-world problems, e.g., in the domains of engineering and health care. The field of Evolutionary Computation (EC) can be considered to be a sub-field of AI, concerning optimization using Evolutionary Algorithms (EAs), which...

A robust computational framework for simulating the dynamics of large assemblies of highly-flexible fibers immersed in viscous flow

The dynamic response of flexible filaments immersed in viscous fluids is important in cell mechanics, as well as other biological and industrial processes. In this paper, we propose a parallel computational framework to simulate the fluid-structure interactions in large assemblies of highly-flexible filaments immersed in a viscous fluid. We...

An Experimental Study of Two-level Schwarz Domain-Decomposition Preconditioners on GPUs

The generalized Dryja–Smith–Widlund (GDSW) preconditioner is a two-level overlapping Schwarz domain decomposition (DD) preconditioner that couples a classical one-level overlapping Schwarz preconditioner with an energy-minimizing coarse space. When used to accelerate the convergence rate of Krylov subspace iterative methods, the GDSW...

A fast GPU Monte Carlo radiative heat transfer implementation for coupling with direct numerical simulation

We implemented a fast Reciprocal Monte Carlo algorithm to accurately solve radiative heat transfer in turbulent flows of non-grey participating media that can be coupled to fully resolved turbulent flows, namely to Direct Numerical Simulation (DNS). The spectrally varying absorption coefficient is treated in a narrow-band fashion with a...

OpenACC GPU implementation of double-stage delay-multiply-and-sum algorithm: Toward enhanced real-time linear-array photoacoustic tomography

Double-stage delay-multiply-and-sum (DS-DMAS) is one of the algorithms proposed for photoacoustic image reconstruction where a linear-array transducer is used to detect signals. This algorithm provides a higher contrast image in comparison with the conventional delay-multiply-and-sum (DMAS) and delay-and-sum (DAS), but it imposes a high...

GPU-accelerated Double-Stage Delay-Multiply-and-Sum Algorithm for Fast Photoacoustic Tomography Using LED Excitation and Linear Arrays

Double-stage delay-multiply-and-sum (DS-DMAS) is an algorithm proposed for photoacoustic image reconstruction. The DS-DMAS algorithm offers a higher contrast than conventional delay-and-sum and delay-multiply and-sum but at the expense of higher computational complexity. Here, we utilized a compute unified device architecture (CUDA) graphics...

Salt marsh modelling: implemented on a GPU

In this thesis, a coupled hydrodynamic, morphodynamic and plant growth model is reviewed. The goal of this model is to simulate plant colonization and channel formation on an initially flat or ascending substrate in a tidal landscape. To be able to simulate these biophysical processes on a small enough scale (while still using the same spatial...

Memory and Communication Profiling for Accelerator-Based Platforms

The growing demand of processing power is being satisfied mainly by an increase in the number of homogeneous and heterogeneous computing cores in a system. Efficient utilization of these architectures demands analysis of memory-access behaviour of applications and perform data-communication aware mapping of applications on these architectures....

Real-time Face and Landmark Localization for Eyeblink-Response Detection: A heterogenous CPU-GPU approach

Pavlovian eyeblink conditioning is a powerful experiment used in the field of neuroscience to measure multiple aspects of how we learn in our daily life. To track the movement of the eyelid during an experiment, researchers traditionally made use of potentiometers or electromyography (EMG). More recently, the use of computer vision and image...

Acceleration of the Multi Level Fast Multipole Algorithm on a Graphics Processing Unit

It is of great importance that enemy aircraft can be detected by a radar. Good knowledge about one’s own detectability is also needed to make one’s own visibility as low as possible. Obtaining the aircraft radar signature involves solving a scattering problem with a large, low-observable aircraft. Briefly explained; the incident radar wave...

Speeding Up Reinforcement Learning with Graphics Processing Units

Conventionally programmed systems (e.g. robots) are not able to adapt to unforeseen changes in their task or environment. Reinforcement learning (RL), a machine learning approach, could grant this flexibility. Many fields of work could greatly benefit from this, be it in terms of cost, time or some other parameter. With RL, a learning agent...

On the performance of a 2D unstructured computational rheology code on a GPU

The present work explores the massively parallel capabilities of the most advanced architecture of graphics processing units (GPUs) code named “Fermi”, on a two-dimensional unstructured cell-centred finite volume code. We use the SIMPLE algorithm to solve the continuity and momentum equations that was fully ported to the GPU. The benefits of...

Efficient Pricing of Early: Exercise and Exotic Options Based on Fourier Cosine Expansions

In the financial world, two tasks are of prime importance: model calibration and portfolio hedging. For both tasks, efficient option pricing is necessary, particularly for the calibration where many options with different strike prices and different maturities need to be priced at the same time. Therefore, a fast yet accurate pricing method is a...

Efficient pricing of Asian options under Lévy processes based on Fourier cosine expansions. Part II. Early-exercise features and GPU implementation

In this article, we propose an efficient pricing method for Asian options with early–exercise features. It is based on a two–dimensional integration and a backward recursion of the Fourier coefficients, in which several numerical techniques, like Fourier cosine expansions, Clenshaw–Curtis quadrature and the Fast Fourier transform (FFT) are...