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...

Automatic Hardware Generation for Reconfigurable Architectures

Reconfigurable Architectures (RA) have been gaining popularity rapidly in the last decade for two reasons. First, processor clock frequencies reached threshold values past which power dissipation becomes a very difficult problem to solve. As a consequence, alternatives were sought to keep improving the system performance. Second, because Field...

Suburban 2.0: Differentiated houses for the masses

Population growth and immigration increase the demand for mass housing developments all over the world. These developments are widely criticized for being mono-functional, mono-typological, and mono-cultural. This project is a design method for a new kind of mass housing. All design rules are reformulated as algorithms, that interact with each...