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Zeus Numerix Creates a 4.25 Billion Cell Mesh
Posted Thu April 30, 2009 @08:31AM
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News In its endeavor to push the frontiers of technology, Zeus Numerix (ZN) has created a grid of 4.25 billion cells for the simulation of the RADAR cross section of a generic missile.

The 96 GB grid file was created after innovation in fields like storage of files, improvement in data structures to write files in a special manner, and effective parallelization. The file is CGNS compatible for better interoperability.


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The grid is multi-block structured and will be used on PARAM Yuva, the latest high performance computing facility operated by CDAC.

The grid contains 53 link files, each having approximately 80 million cells. The grid contains 1364 blocks and 8184 faces.

Prof G R Shevare, who guided the project team in making the grid, said It was a challenge to write such a huge file as the file systems only permit much smaller files to be written on the memory disk. We devised a method to circumvent this problem that will enable us to write even bigger files in future. But the file size was not the only problem, as the grid has to be of good quality to give a much better result than the one billion cell mesh simulated earlier. Hence, special care was taken when deciding on the topology and grid smoothing.

Prof Banerjee, while congratulating the project team, exclaimed It is yet another example of innovation and creativity that propels ZN forward.

ZN has an opportunity to test its results vis--vis experimental results from a national laboratory.

ZN would like to thank CDAC for its generous help in not only providing the computing facility, but also for helping in setting up the simulation in this state of the art facility. The one billion cell grid simulation required 2048 CPUs for four hours to get the converged result. The use of so many CPUs at a time has established the efficient parallelization and scalability of ZN's software.

ZN engineers, with the help of CDAC scientists, are setting up the 4.25 billion cell mesh simulation, which will require much larger computing power. We hope to harness the full capabilities of PARAM Yuva for projects of national and industrial importance.

The project team is comprised of Mihir Chawda, Abhay Chougule, and Manoj Vaghela.

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