School of Computational Sciences
Computation is recognized as a central feature of the instructional and research
programs of SCS. The school, therefore, continues to establish world-class computational
facilities. In addition, high-speed Internet connections permit interactive distance
learning and access to remote databases.
The Fairfax Campus offers instruction in all areas of the SCS curriculum, and
provides state-of-the-art computational laboratories and electronic classrooms
for research and interactive instruction. The SCS Graduate Instructional Computational
Facility houses 24 Silicon Graphics workstations clustered with a 100 GB RAIDS
system. These machines are configured with state-of-the-art software for symbolic
manipulation, modeling, simulation, data analysis, database management, and data
visualization. Other advanced computing platforms within SCS include a high-performance
parallel PC cluster with 134 processors, an SGI Origin 2000 workstation with 16
processors, an SGI Origin 200, an SGI Onyx with infinite reality graphics engine,
and an Octane visualization workstation. SCS students are issued computer accounts
and access to the SCS instructional facilities. Other computing platforms are
available for research by graduate students.
SCS facilities on the Prince William Campus are partially shared with the American
Type Culture Collection, the world's largest collection of living biological cultures.
Facilities include molecular biology and biochemistry labs, computer labs, cold
rooms, and instrument rooms, as well as faculty offices. Available computer facilities
include more than 60 SGI workstations, including a four-processor Onyx, 18 Octanes,
and more than 40 O2s. An SGI Origin 200 provides more than 65 GB of high-availability
RAID disk storage. Other computational resources include SUN SparcStations, Macs,
and PCs. All computers are connected via a high-speed (100 MB/sec) Ethernet LAN.
Teaching facilities include three computer classrooms equipped with SGI workstations
configured with advanced bioinformatics, visualization, and data-mining software.
Three wet labs for teaching and training are supported by adjacent computer labs,
lecture rooms, prep labs, and equipment labs, including three ABI 377 and two
ABI 310 automated DNA analyzers.