K-loops: Loop Transformations for Reconfigurable Architectures

The focus of this dissertation is on kernel loops (K-loops), which are loop nests that contain hardware mapped kernels in the loop body. In this thesis, we propose methods for improving the performance of such K-loops, by using standard loop transformations for exposing and exploiting the coarse grain loop level parallelism. We target a...

Efficient numerical methods to compute unsteady subsonic flows on unstructured grids

Over the last four decades the increase in computer power and the advances in solver technology has resulted in an estimated reduction of 10 orders in magnitude to compute flow problems. However, to solve the instationairy Reynolds-averaged Navier-Stokes equations, even today, a massive amount of CPU time may be required. For example, to solve...

Non-Cartesian MRI scan time reduction through sparse sampling

Non-Cartesian MRI Scan-Time Reduction through Sparse Sampling Magnetic resonance imaging (MRI) signals are measured in the Fourier domain, also called k-space. Samples of the MRI signal can not be taken at will, but lie along k-space trajectories determined by the magnetic field gradients. MRI measurements are usually Cartesian, where the...