May 20th, 2004, Kansas City, KS Advanced Clustering Technologies announces the implementation of an Infiniband based Beowulf Cluster to power one of the largest known passive stereoscopic tiled wall display in the United States. The cluster was purchased for use in the Purdue University’s Envision Center for Data Perceptualization.
The graphics cluster was developed as part of a high performance visualization showcase to aid in research and teaching at Purdue University. “Some of this cluster’s applications include medical visualization, geographical information system, architectural walk-through, biological modeling, homeland security simulations and large particle simulation” said Raj Arangarasan, Visualization Research Coordinator, Envision Center for Data Perceptualization.
“We were honored to be chosen to work with the Purdue’s Envision Center staff to develop this cluster. It is very exciting to see our cluster used for such cutting edge research and educational purposes.” said Shelly Matthews, Vice President of Sales. The 13 node dual Xeon cluster uses Mellanox technology 4X Infiniband HBC's the Mellanox MTS24, 24 port switch for data transfer and the Nvidia QuadroFX 3000G to drive the 12' x 7' rear projected tiled wall.
About Advanced Clustering Technologies
Advanced Clustering Technologies is a premier provider of Linux based servers, workstations, and high-performance computer clusters for organizations involved in all types of research including, biotechnology, chemical modeling, weather forecasting, oil and gas exploration, and visual effects. Advanced Clustering Technologies is a privately held corporation based in Kansas City, Kansas. For more information, visit www.advancedclustering.com.
About Purdue University's Envision Center
Purdue University’s Envision Center for Data Perceptualization is organized under Information Technology at Purdue (ITaP) and serves the computational visualization needs of the greater Purdue community. The mission of the Envision Center for Data Perceptualization is to serve, support, and collaborate with faculty, students, and industry to be a leader in scientific visualization and human computer interaction through learning, discovery, and engagement.