An automated framework for code and data partitioning for the needs of data management is presented. The goal is to identify the main data types from the data management perspectiv...
Abstract. Oza’s Online Boosting algorithm provides a version of AdaBoost which can be trained in an online way for stationary problems. One perspective is that this enables the p...
Adam Pocock, Paraskevas Yiapanis, Jeremy Singer, M...
An important aspect in the development of dependable software is to decide where to locate mechanisms for efficient error detection and recovery. We present a comparison between ...
Abstract. This article presents two new algorithms whose purpose is to maintain the Max-RPC domain filtering consistency during search with a minimal memory footprint and implemen...
This paper describes performance tuning experiences with a three-dimensional unstructured grid Euler flow code from NASA, which we have reimplemented in the PETSc framework and p...
William Gropp, Dinesh K. Kaushik, David E. Keyes, ...