In collaboration with Microsoft (News - Alert), Advanced Visual Systems has unveiled the first innovations of a high performance computing which helps users in the field of science, academic research and engineering.
The enhancements offered by this collaboration will be in AVS/Express data visualization system, which is a comprehensive and versatile data visualization tool for both non-programmers and experienced developers, the company stated in a press release.
Designed to tap into the power of Microsoft Windows HPC Server 2008 R2, the collaboration will introduce numerous enhancements to the popular AVS (News - Alert)/Express data visualization system. Some of these new features include access to specific cluster resources directly from within the AVS/Express data visualization environment, comprehensive integration with Microsoft's powerful job scheduling capabilities, and added security to Microsoft MPI communication.
“Our relationship with Microsoft has enabled recent enhancements to AVS/Express to reflect the needs of the hands-on HPC customer. For IT implementers it means a faster and easier approach to creating powerful HPC clusters -- and for researchers and engineers it means easier access to state-of-the-art 3D data visualization and computer processing of complex data from a wide range of industries.”
Enabling rapid, object-oriented development of rich and highly interactive scientific and technical data visualizations, AVS/Express is now in its sixteenth year of release. All over the world at leading research facilities, universities and engineering organizations, AVS/Express is considered one of the most prolific data visualization software tools and is offered in several editions that exploit nearly every contemporary and legacy data format, the company stated in a press release.
Recently, DekaBank, a German financial institution, used a proprietary asset management solution created with the OpenViz data visualization system from Advanced Visual Systems to track the performance consistency of over 16,000 different mutual funds. The analytic application integrates highly advanced concepts in time-based asset analysis with innovative 2D and 3D data visualization techniques to improve the detection of risk and other performance factors that might be easily overlooked using common charting techniques.
Raju Shanbhag is a contributing editor for TMCnet. To read more of Raju’s articles, please visit his columnist page.Edited by Rich Steeves