Publications

Two major trends in high-performance computing, namely, larger numbers of cores and the growing size of on-chip cache memory, are creating signiU+FB01cant challenges for evaluating the design space of future processor architectures. Fast and scalable simulations are therefore needed to allow for suU+FB03cient exploration of large multi-core systems within a limited simulation time budget. By bringing together accurate high-abstraction ...

Sniper is a next generation parallel, high-speed and accurate x86 simulator. This multi-core simulator is based on the interval core model and the Graphite simulation infrastructure, allowing for fast and accurate simulation and for trading off simulation speed for accuracy to allow a range of flexible simulation options when exploring different homogeneous and heterogeneous multi-core architectures. The Sniper simulator allows one to perform ...

Finite element analysis (FEA) enjoys a variety of applications in the field of biomechanics, from simulated fatigue testing of an intramedullary rod to studying stresses in a displacement field generated within a single cell. The powerful generality of the finite element method implies that often no purpose-specific method or model need be developed to study a system, but regrettably also implies a certain computational cost. FEA-supported ...

The numerical simulation of Bileaflet Mechanical Heart Valves (BMHVs) has gained strong interest in the last years, as a design and optimisation tool. In this paper, a strong coupling algorithm for the partitioned fluid-structure interaction simulation of a BMHV is presented. The convergence of the coupling iterations between the flow solver and the leaflet motion solver is accelerated by using the Jacobian with the derivatives of the pressure ...

We study a variance reduction strategy based on control variables for simulating the averaged macroscopic behavior of a stochastic slow-fast system. We assume that this averaged behavior can be written in terms of a few slow degrees of freedom, and that the fast dynamics is ergodic for every fixed value of the slow variable. The time derivative for the averaged dynamics can then be approximated by a Markov chain Monte Carlo method. The ...

This paper studies the feasibility of acquiring the multiple source-receiver transfer functions for the prediction of pass-by noise Sound Pressure Level (SPL) of vehicles with the Fast Multipole Boundary Element Method (FMBEM). Employing measurements and simulations, the influence of frequency resolution, mesh density, mesh accuracy and solver accuracy on the computation time and on the overall SPL and the third octave band SPL is investigated. ...

Accuracy in proton therapy treatment planning can be improved using Monte Carlo (MC) simulations. However the long computation time of such methods hinders their use in clinical routine. This work aims to develop a fast multipurpose Monte Carlo simulation tool for proton therapy using massively parallel central processing unit (CPU) architectures.

Fast imaging of the heart has shown promise toward bringing new diagnostic information. Although most studies to date have been based on 2-D imaging technology, the ultimate diagnostic tool would enable fast 3-D echocardiography. Hereto, 3-D diverging wave compounding (DWC) and 3-D multiline-transmit (MLT) beamforming have recently been proposed. Moreover, in our recent study, a hybrid technique was proposed in which multiple planar diverging ...

Simulation of ultrasound data is often performed for developing new ultrasound data processing techniques. The spatial impulse response method (as implemented in FieldII) has typically been used as the gold standard due to its excellent accuracy in the linear domain. When scatterer numbers become significant and when 3D volumetric data sets need to be computed, calculation times can become an issue. In order to solve this problem, two ...

Many applications require fast and even real-time multibody simulations. Until recently, strongly simplified models were used in order to reach real-time constraints. A novel system-level model reduction technique, namely Global Modal Parameterization (GMP), enables the reduction of a complex mechanism, incorporating flexibility. This technique groups all computationally demanding tasks in a preprocessing phase, which allows the actual ...