The award will provide 19.5 million CPU hours at the Argonne Leadership Computing Facility using the IBM Blue Gene/Q computer "Mira." Mira has 786,432 cores, half that of LLNL's supercomputer Sequoia, which ranks No. 2 on the Top500 List. Mira is ranked No.4.
Fiuza plans to use the CPU hours to do integrated, self-consistent, multi-scale modeling of fast ignition to understand how the short-pulse laser energy is transferred to the compressed fusion fuel in fast-ignition scenarios.
"Modeling the different spatial and temporal scales associated with fast ignition is a very complex problem that requires not only advanced algorithms but also large computational resources," he says. "This computational award is critical for our work since it will allow us to capture different kinetic and fluid scales and gain important insight on the physics of the energy transport in fast ignition."
The ALCC aims to provide an allocation program for projects of interest to the Department of Energy (DOE) with an emphasis on high-risk, high-payoff simulations in areas directly related to the DOE mission and for broadening the community of researchers capable of using leadership computing resources.