Tag Archives: United States Department of Energy

Lunch & Learn: Optimizing fusion particle codes for massively parallel computers

National Spherical Tokamak Experiment

The last decade has witnessed a rapid emergence of larger and faster computing systems in the US. Massively parallel machines have gone mainstream and are now the tool of choice for large scientific simulations. Keeping up with the continuously evolving technology is quite a challenge though. Scientific applications need to be modified, adapted, and optimized for each new system being introduced. In this talk, the evolution of a gyrokinetic particle-in-cell code developed at Princeton University’s Plasma Physics Laboratory is presented as it was adapted and improved to run on successively larger computing platforms.

About the speaker: 

Stephane Ethier

Dr. Stephane Ethier is a Computational Physicist in the Computational Plasma Physics Group at the Princeton Plasma Physics Laboratory (PPPL). He received a Ph.D. from the Department of Energy and Materials of the Institut National de la Recherche Scientifique (INRS) in Montreal, Canada. His current research involves large-scale gyrokinetic particle-in-cell simulations of microturbulence in magnetic confinement fusion devices as well as all aspects of high-performance computing on massively parallel systems.

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Lunch & Learn: Simulations at the petascale and beyond for fusion energy sciences with William Tang

Fusion donut

Imagine harnessing the power of the sun within a magnetic bottle. Unlike hydrogen bombs, which are essentially uncontrolled fusion reactions, scientists for decades have been pursuing the peaceful challenge of safely harnessing fusion energy, a potentially efficient and environmentally attractive energy source. Progress in addressing this scientific grand challenge, suggested William Tang, the Director of the Fusion Simulation Program at the Princeton Plasma Physics Laboratory (PPPL) has benefited substantially from advances in super-computing. At the March 10 Lunch ‘n Learn, Tang noted that such capabilities continue to progress at a remarkable rate, from tera-to-petascale today, and to exascale in the near future.

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