background image

Knowledge on 

display

The Australian National University uses Dell rack workstations and 

LCD monitors to build Australia’s largest scientific display system

Filling a wall with a single image of the Earth or the cosmos 
is impressive. But for researchers, a wall-size image with crisp 
enough detail for scientific analysis is more than just an exciting 
spectacle, it’s an invaluable tool.

Customer profile

COUNTRY:

 Australia

INDUSTRY:

 Education/Science

FOUNDED: 

1946

NUMBER OF EMPLOYEES:

 3,545

WEB ADDRESS:

 

www.anu.edu.au 

Challenge

The Australian National University (ANU) 
required a large-scale image display system, 
but cost/performance, space, and heat load 
obstacles stood in the way of the project.

solution

ANU used a cluster of Dell

 Precision

 rack 

workstations driving 30-inch Dell UltraSharp

 

LCD monitors to create a powerful, efficient, 
and flexible display solution.

Benefits

Get IT Faster

 

Easy-to-install Dell hardware enables ANU 

• 

to implement the display solution in just 
two weeks 

Run IT Better

Large-scale imaging capability helps 

• 

provide an environment for more effective 
research and education methods

Grow IT Smarter

Dell rack-mounted workstations allow 

• 

ANU to install the cluster in a confined 
space within cooling limitations
Standards-based Dell system offers a 

• 

platform for future development 

The potential benefits of such a system were 
clear to The Australian National University 
(ANU). ANU is Australia’s top-ranked university 
with more than 1,400 academic staff. “Large-
scale display systems are a crucial enabling 
tool for researchers in various disciplines 
including astronomy, medicine, geophysics, 
and the humanities,” says astrophysicist Dr. 
Markus Buchhorn, director of information and 
communication technologies (ICT) environments 
at ANU. “When scientists are able to examine 
an image from the large-scale to the very small 
details at the same time, they make connections 
that they wouldn’t make otherwise.”

requirements range from  

high image quality to low 

system heat

Buchhorn envisioned a system with a cluster of 
workstations driving two or three dozen wide-
screen LCDs. To achieve this, the team needed 
panels that had high image quality and were easy 
to mount on a wall. Criteria for the computers 
included ample processing performance for 
large data sets, powerful graphics technology, 
and the ability to securely share images with 
other research institutions. Heat load was also 
a major concern because the cluster had to fit in 
a confined space next to the display wall and fit 
within the cooling capabilities of that space.

Buchhorn’s team asked several vendors to 
propose solutions, and ANU ultimately selected 
Dell. “Dell had already met service and reliability 
standards as a preferred supplier to the 

university,” notes Buchhorn. “We were equally 
impressed with the innovative system they 
proposed. With the rack-mounted workstation 
form factor, Dell addressed our space, cooling, 
and performance concerns all in one.”

The Dell team recommended Dell UltraSharp 
3008WFP 30-inch wide-screen flat panel 
monitors, driven by a cluster of Dell Precision 
R5400 dual-socket rack workstations with 
quad-core Intel

®

 Xeon

®

 processors. The rack 

workstations provided the compact size needed 
to fit in the limited space available to the 
team. At the same time, the chassis provided 
room to accommodate two full-length OpenGL 
professional graphics cards for high-quality 
images, plus Teradici hardware encryption and 
decryption technology to boost performance over 
a network or direct connections.  

dell hardware helps reduCe 

installation time 

The team quickly and easily performed the 
deployment, installing 12 workstations and 35 
LCD monitors. Instead of showing 35 individual 
images, the team used software toolkits to show 
one image scaled across all of the screens. “We 
stacked the Dell LCDs five units high by seven 
units wide to provide over 125 square feet of 
viewing surface,” says Buchhorn. “The 
hardware was simple to order and install. 
It was only two weeks from the decision 
point to the operational point.”

solution: Clustering

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