Computational Facilities
 All Carnegie Mellon students have access to the University-wide Andrew system and to the Pittsburgh Supercomputing Center which has a full array of vector- and parallel-processing machines. The Department has a dedicated cluster of Linux workstations for use by all students and all student offices are equipped with at least one workstation. The Department also has its own Beowulf cluster.
The Parallel Collective Cluster
Learn how to use the cluster, what software is available, the architecture, and use policies.
Computing Facilities FAQ
This page will answer many questions you may have about using the Deparment's computers.
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