The Railway Technical Research Institute (RTRI) in Japan has added more muscle to its supercomputer infrastructure for complex railway simulations. The organization, which focuses on research and development of railway-related science and technology, has deployed a Cray XC30-AC supercomputer, Cray CS300 cluster supercomputer, and a Cray Sonexion storage system into production.
Cray continues to push the boundaries of supercomputing. We previously wrote about the delivery of the Titan to Oak Ridge National Laboratory, and that system just nabbed the No. 1 spot on the Top500 list of the world’s fastest supercomputers. Titan (a Cray XK7) reached 17.59 petaflops on the Linpack benchmark, but Cray is already shipping systems that promise to leave Titan in the dust. The company has launched its next-generation XC30 supercomputer (previously code-named Cascade) that is designed to achieve HPC workloads of more than 100 petaflops and scale up to 1 million cores. Continue reading
When design engineers run a simulation in their favorite engineering software, massive amounts of number crunching occurs behind the scenes to simulate a particular event. Such simulation is critical to designers who can save time and costs by doing fewer real-world tests and more digital tests of their designs. But how do we know the simulations are accurate?
Let’s take a look at one example recently featured in ORNL Review. A team of mechanical engineers at Sandia National Laboratory was given 60 million processor hours this year on Oak Ridge Leadership Computing Facility‘s Jaguar supercomputer to conduct high-fidelity simulations of combustion in advanced engines.
The models they create are validated against benchmark experiments to simulate turbulent combustion at different scales. Once validated, the models can be used by design engineers, as the article explains:
These models are then used in engineering-grade simulations, which run on desktops and clusters to optimize designs of combustion devices using diverse fuels. Because industrial researchers must conduct thousands of calculations around a single parameter to optimize a part design, calculations need to be inexpensive.