SC13 Home > SC13 Schedule > SC13 Presentation - Kinetic Turbulence Simulations at Extreme Scale on Leadership-Class Systems

SCHEDULE: NOV 16-22, 2013

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Kinetic Turbulence Simulations at Extreme Scale on Leadership-Class Systems

SESSION: Engineering Scalable Applications

EVENT TYPE: Papers

TIME: 3:30PM - 4:00PM

SESSION CHAIR: Andrew M. Canning

AUTHOR(S):Bei Wang, Stephane Ethier, William Tang, Timothy Williams, Khaled Ibrahim, Kamesh Madduri, Samuel Williams, Leonid Oliker

ROOM:401/402/403

ABSTRACT:
Reliable predictive simulation capability addressing confinement properties in magnetically confined fusion plasmas is critically-important for ITER, a 20 billion dollar international burning plasma device under construction in France. The complex study of kinetic turbulence, which can severely limit the energy confinement and impact the economic viability of fusion systems, requires simulations at extreme scale for such an unprecedented device size. Our newly optimized, global, "ab initio" particle-in-cell code solving the nonlinear equations underlying gyrokinetic theory achieves excellent performance with respect to "time to solution" at the full capacity of the IBM Blue Gene/Q on 786,432 cores of "Mira" at ALCF and recently of the 1,572,864 cores of "Sequoia" at LLNL. Recent multithreading and domain decomposition optimizations in the new GTC-P code represent critically important software advances for modern, low memory per core systems by enabling routine simulations at unprecedented size (130 million grid points ITER-scale) and resolution (65 billion particles).

Chair/Author Details:

Andrew M. Canning (Chair) - Lawrence Berkeley National Laboratory

Bei Wang - Princeton University

Stephane Ethier - Princeton Plasma Physics Laboratory

William Tang - Princeton Plasma Physics Laboratory

Timothy Williams - Argonne National Laboratory

Khaled Ibrahim - Lawrence Berkeley National Laboratory

Kamesh Madduri - Pennsylvania State University

Samuel Williams - Lawrence Berkeley National Laboratory

Leonid Oliker - Lawrence Berkeley National Laboratory

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The full paper can be found in the ACM Digital Library