Learn More
Phase detection aims to identify the principle movements of a program by discovering the sections of a program's execution that are similar. Phase prediction actively anticipates program operation. This information provides knowledge of a program's behavioral patterns, which can then be used for analysis and optimization. We present two novel approaches to(More)
—We propose a new parallelized high-dimensional single-query path planning technique that uses a coupled forest of random trees (i.e., instead of a single tree). We present both theoretical and experimental results that show using forests of random trees can lead to expected super linear speedup, with respect to the number of trees in the forest. In other(More)