This paper presents a very efficient SLAM algorithm that works by hierarchically dividing the map into local regions and subregions. At each level of the hierarchy each region stor...
The use of Mercer kernel methods in statistical learning theory provides for strong learning capabilities, as seen in kernel principal component analysis and support vector machin...
—Recently, high-end reconfigurable computing systems that employ Field-Programmable Gate Arrays (FPGAs) as hardware accelerators for general-purpose processors have been built. T...
We present a static analysis for the automatic generation of symbolic prefetches in a transactional distributed shared memory. A symbolic prefetch specifies the first object to be...
Large and fast hard disks for little money have enabled the processing of huge amounts of data on a single machine. For this purpose, the well-established STXXL library provides a...
Andreas Beckmann, Roman Dementiev, Johannes Single...