Aspen Systems, Inc., a leader in the custom design, manufacture and service of a wide array of Linux(R)-based high performance computing (HPC) solutions, will showcase Beowulf clusters for scientific and mission-critical applications March 30 – April 1 at Bio-IT World Expo, the life science industry’s first comprehensive event for information technology professionals, in Boston, MA. This is the first time Aspen Systems will participate in this trade show, which attracts over 3000 senior-level scientists, engineers, executives, and IT professionals from major pharmaceutical, biotechnology, government and academic organizations. These individuals are responsible for their organizations’ business and technical IT requirements and want to learn about the latest IT tools and services enabling advances in genomics, proteomics, and drug discovery. “We see the impact that information technology has had in the life sciences marketplace and believe that this event will provide us with an exceptional opportunity to demonstrate our custom Beowulf clusters specifically designed for scientific and mission-critical applications to an entire family of organizations from the life sciences industry,” stated company CEO Steve Spring. At Bio-IT World in booth number 320, Aspen Systems will demonstrate a Glacier Dual Xeon Beowulf cluster running ABC Management Software. Aspen Systems’ Glacier Dual Xeon Beowulf clusters are customized for the customer’s strategic business needs and life science application requirements. By offering 100% custom configurations, including a choice of processors, servers, and disk and network configurations, Aspen Systems Beowulf clusters provide uncompromising performance with an unbeatable price to performance ratio. Aspen Systems’ ABC Management Software provides scientists and other end-users the power to manage, monitor, and control all supported devices within their cluster, thus increasing the availability and reliability of their cluster. With Aspen Systems’ ABC Management Software, scientists now have an easier way to setup and maintain their cluster for faster and more effective utilization of the data captured by scientific and mission-critical applications.