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Gyrokinetic Toroidal Simulations on Leading Multi- and Manycore HPC Systems
EVENT TYPE: Paper
TIME: 3:30PM - 4:00PM
AUTHOR(S):Kamesh Madduri, Khaled Z. Ibrahim, Samuel Williams, Eun-Jin Im, Stephane Ethier, John Shalf, Leonid Oliker
ABSTRACT: The gyrokinetic Particle-in-Cell (PIC) method is a critical computational tool enabling petascale fusion simulation research. In this work, we present novel multicore and manycore-centric optimizations to enhance performance of GTC, a PIC-based production code for studying plasma microturbulence in tokamak devices. Our optimizations encompass all six GTC sub-routines and include multi-level particle and grid decompositions designed to improve multi-node parallel scaling, particle binning for improved load balance, GPU acceleration of key subroutines, and memory-centric optimizations to improve single-node scaling and reduce memory utilization. The new hybrid MPI-OpenMP and MPI-OpenMP-CUDA GTC versions achieve up to a 2X speedup over the production Fortran code on four parallel systems --- clusters based on the AMD Magny-Cours, Intel Nehalem-EP, IBM BlueGene/P, and NVIDIA Fermi architectures. Finally, strong scaling experiments provide insight into parallel scalability, memory utilization, and programmability trade-offs for large-scale gyrokinetic PIC simulations, while attaining a 1.6X speedup on 49,152 XE6 cores.
Kamesh Madduri - Lawrence Berkeley National Laboratory
Khaled Z. Ibrahim - Lawrence Berkeley National Laboratory
Samuel Williams - Lawrence Berkeley National Laboratory