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Excellent local computing resources are available to departmental faculty and students. Through the campus ethernet network to UMD Information Technology Systems and Services (ITSS), the Department has access to a Sun Microsystems Enterprise 3500 (UNIX) with 2 400 MHz SPARC processors and 1GM memory, as well as an SunBlade 1000 system with two 720 MHz processors and 2GB memory. Numerous G3/G4 MacIntosh workstations and IBM compatible windows based computers in several campus computer labs are available for student use. Quit distinct from the instructional computer laboratories administered by the UMD Department of Information Technology Systems and Services (ITSS), the Department Mathematics and Statistics maintains a separate Student Research computer laboratory. The facility houses four modern Sun Microsystem workstations obtained with the assistance of a grant from the National Science Foundation. Additionally, the laboratory contains numerous Silicon Graphics workstations, as well as a half-dozen Intel-based PC's running Windows/NT and Macintosh G3 workstations. All are connected via a high-performance network and configured with various interface, visualization and parallel processing software. Graduate student offices each contain both Sun and Intel-based computer hardware (Sun, SGI, Intel-based) and a variety of operating system (Solaris, Windows/NT, Linux) platforms.  Another important resource to the Department's faculty and students is the UMD Visualization and Digital Imaging Laboratory , which is a collaborative facility of the UMD School of Fine Arts and UMD College of Science and Engineering. The Laboratory provides a multi-media environment for graphics design and scientific researchers to conduct research in the areas of animation, visual imaging and scientific visualization. The laboratory promotes research in the areas of two- and three- dimensional imaging, virtual reality applications and sound/image control. Besides Sun, Silicon Graphics and Intel-based computing platforms, the laboratory includes an 8 node / 16 CPU Beowulf cluster, with each node consisting of two Athlon MP 2000+ 1.67GHZ processors and 512 MB local memory. The cluster runs under the Linux operating system, and provides sufficient computing power to permit the local computation and visualization of computationally-intense process model simulations, as well as the analysis of large data sets. Finally, students in the Program in Applied and Computational Mathematics have access to the facilities housed at the Minnesota Supercomputer Institute, an interdisciplinary research program of the University of Minnesota. The mission of the Supercomputer Institute is to foster high-performance computing research. The Supercomputer Center has excellent support facilities included in an advanced communications network. In particular, such high-end machines include an IBM SP,IBM Regatta and SGI Origin 3800 supercomputers as well as a Linux Cluster supercomputer. The supercomputers of the Minnesota Supercomputer Center are accessible from UMD by a high-speed data link. In addition, the Institute provides an important resource for investigating state-of-the-art computational algorithms and scientific visualization methods. The University of Minnesota is an equal opportunity educator and employer. This web page is maintained by Department of Mathematics and Statistics .Send comments to math@d.umn.edu. |