We present an auto-tuning approach to optimize application performance on emerging multicore architectures. The methodology extends the idea of searchbased performance optimizatio...
Samuel Williams, Jonathan Carter, Leonid Oliker, J...
Abstract- Sequential parameter optimization is a heuristic that combines classical and modern statistical techniques to improve the performance of search algorithms. To demonstrate...
Thomas Bartz-Beielstein, Christian Lasarczyk, Mike...
This paper presents a new method for solving a class of infinite horizon nonlinear optimal control problems. In this method, first the original optimal control problem is transfor...
We address the alignment of a group of images with simultaneous
registration. Therefore, we provide further insights
into a recently introduced class of multivariate similarity
...
Christian Wachinger (TU Munich), Nassir Navab (TU ...
Traditionally, application specific computations have been focusing on numerically intensive data manipulation. Modern communications and DSP applications, such as WWW, interactiv...