Paper Info
Title
Kinetic turbulence simulations at extreme scale on leadership-class systems
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).
Year
DOI
Venue
2013
10.1145/2503210.2503258
SC
Keywords
Field
DocType
energy confinement,fusion plasma,new gtc-p code,billion dollar,unprecedented device size,international burning plasma device,leadership-class system,confinement property,ab initio particle-in-cell code,billion particle,extreme scale,kinetic turbulence simulation,fusion system,divide and conquer,scalability
Multithreading,Nonlinear system,Computer science,Parallel computing,Turbulence,Software,Divide and conquer algorithms,Domain decomposition methods,Grid,Scalability
Conference
ISSN
Citations 
PageRank 
2167-4329
8
0.63
References 
Authors
7
8
Name
Order
Citations
PageRank
Bei Wang152861.48
Stephane Ethier229131.10
William Tang3172.31
Timothy J. Williams4739.03
Khaled Z. Ibrahim521521.25
Kamesh Madduri693974.52
Samuel Williams7128298.56
leonid oliker81358145.15