Purdue’s New Research Supercomputer
Fits Variety of Computational Needs
Purdue’s latest Community Cluster Program research supercomputer offers faculty
and campus units more than just one big community in which to settle their
research computations. The new cluster has neighborhoods, too.
Need big memory? There’s a subdivision for you. Need a place for high-throughput
computing? Got it. And don’t worry if you need high-performance parallel compu-
tation. There’s plenty of room for that, too, just as in past community clusters.
Faculty can find out more about the new cluster from ITaP Research Computing by
visiting https://www.rcac.purdue.edu/purchase or emailing email@example.com.
The new cluster is the latest research computing system offered to Purdue faculty
through the Community Cluster Program, under which ITaP and faculty partners
have enabled the building of six TOP500-class supercomputers since 2008. The
program has given Purdue the best high-performance computing infrastructure in
the nation for use by researchers on a single campus.
Through community clustering, faculty partners and ITaP make more computing power available for Purdue research than faculty and campus units could
individually afford. ITaP installs, administers and maintains the community
clusters, including security, software installation and user support, so researchers
can concentrate on doing research rather than on running a high-performance
Community clustering also maximizes use by sharing computing power among
the faculty partners whenever it is idle. Researchers always have ready access to the
capacity they purchase, and potentially to much more if needed.
In addition to computational and archival storage for the community clusters,
ITaP also operates the Research Data Depot for faculty, whether cluster users or
not. The Research Data Depot makes available over 2 petabytes of storage to any
Purdue research group or campus unit in need of a high-capacity central solution
for storing large, active research
data sets at a competitive price
and sharing them with on- and
For more information on the
Research Data Depot or the
community clusters, contact
Preston Smith, director of
research services and support
for ITaP, firstname.lastname@example.org
or (765) 494-9729.
Thinlinc Lets Purdue
Graphically from Almost
ThinLinc makes it possible to run
graphical applications and environments
remotely on Purdue’s community cluster
research supercomputers using a Mac,
PC or Linux computer.
Almost any software that can run on a
cluster with a graphical user interface
also can be used in ThinLinc, even over
slower wireless connections, allowing
faculty and their students to log in all
over the world and do their research.
Purdue researchers already are employing ThinLinc to run graphical applications such as MATLAB, RStudio and CLC
Community cluster users need only
install the ThinLinc client on a remote
computer, whether a desktop in their
office or a laptop they’re taking on a trip,
and then log in to their cluster account
to get started. For more information,
email ITaP Research Computing at