Bron Nelson

Learn More
One of the current challenges in tropical cyclone (TC) research is how to improve our understanding of TC interannual variability and the impact of climate change on TCs. Recent advances in global modeling, visualization, and supercomputing technologies at NASA show potential for such studies. In this article, the authors discuss recent scalability(More)
One of the current challenges in tropical cyclone (TC) 1 research is how to improve our understanding of TC interannual variability and the impact of climate change on TCs. Recent advances in global modeling, visualization, and supercomputing technologies at NASA show potential for such studies. In this study, we discuss recent scalability improvement to(More)
A current challenge in tropical cyclone research is to improve our understanding of TC formation and intensification by studying TC interactions with environmental flows. A coupled, advanced global multiscale modeling and concurrent visualization system (CAMVis) shows potential for such studies, especially with the integration of StreamPack—a(More)
The implementation of the Silicon Graphics automatic parallelizing Fortran compiler is described. It consists of three major parts: the Power Fortran accelerator (PFA), which discovers the parallelism, the Power Fortran compiler, which implements the parallelism, and the run-time library, which handles the synchronization of the parallel processes. All(More)
In recognition tests, physical and semantic relationships between targets and distractors have been shown, in separate manipulations, to affect the latency of subject's decision. Recognition was tested for distractors which were visually similar or dissimilar to targets and which belonged to the target categories or to nontarget categories in order to(More)
We present the results of a search for EMP, CEMP, and cataclysmic variable stars using a new exploration tool based on linked scatter plots (LSPs). Our approach is especially designed to work with very large spectrum data sets such as the SDSS, LAMOST, RAVE, and Gaia data sets and can be applied to stellar, galaxy, and quasar spectra. As a demonstration, we(More)
  • 1