Dan Steinwand Tim Beckmann Greg Krpan Shu-Guang Liu Erin Nichols Jim Haga Brian Maddox Chris Bilderback Mark Feller George Homer Michael Crane 2001 <p>The overarching goal of this project is to build a spatially distributed infrastructure for information science research by forming a team of information science researchers and providing them with similar hardware and software tools to perform collaborative research. Four geographically distributed Centers of the U.S. Geological Survey (USGS) are developing their own clusters of low-cost, personal computers into parallel computing environments that provide a costeffective way for the USGS to increase participation in the high-performance computing community. Referred to as Beowulf clusters, these hybrid systems provide the robust computing power required for conducting information science research into parallel computing systems and applications.</p> application/pdf 10.3133/ofr01465 en U.S. Geological Survey A parallel-processing approach to computing for the geographic sciences; applications and systems enhancements reports