Petrobras Meets Oil Production Challenges with a Sun High Performance Computing Network
By chhandomay on Dec 15, 2009
The BR Network is a high-performance computing initiative funded by Brazil's national oil company, Petróleo Brasilero, and is managed by an alliance of five federal universities to support the country's oil and gas industries. After the discovery of a vast new oil field off the coast of Brazil, the BR Network was selected to develop computer simulations to aid oil production at the new site, which is under approximately two miles of ocean floor riddled with geological faults.
(Image courtesy: BR Network, a Petrobras initiative)
Institute-Graduate School and Research in Engineering from the
Federal University of Rio de Janeiro realized that the alliance of
universities needed a high-performance computing grid to handle the
complex new project that would be both an affordable and easily
expandable solution over the next few years. Ultimately, the
alliance selected Sun, which not only was the vendor that would best
meet the performance, scalability, and energy efficiency goals, but
also cost almost 30% less than the next closest offer from a
The new HPC solution includes 448 Sun Blade X6275 Server Modules with the new Intel Xeon processor series 5500, Sun Blade 6048 Modular Systems, and the Lustre File System. The solution also features the first blade server with on-board QDR InfiniBand for high performance and low latency. The alliance runs the Red Hat Linux OS on a Sun open-network solution, which supports multiple operating systems. The BR Network is currently running at three universities on a grid that provides approximately 100 teraflops of peak performance and 21.5 TB of memory.
The alliance expects that the BR Network will be fully operational by February 2010 with nearly 300 researchers working on the new clusters. Sun Professional Services is providing ongoing support for the project's air-conditioning and hi-visualization environments. The Sun solution more than doubles the universities' processing speed with ample room for growth. Alvaro Coutinho, a professor at the Center for Parallel Computing and Department of Civil Engineering, COPPE/UFRJ said: “We are very excited about the scalability of our Sun HPC system. We are currently at about 100 teraflops and we are thinking of doubling or even tripling it in the next two years.”
Check out the complete details here.