Gyrokinetic particle simulation model
Journal of Computational Physics
Parallelization issues and particle-in-cell codes
Parallelization issues and particle-in-cell codes
Accelerating a paricle -in-cell simulation using a hybrid counting sort
Journal of Computational Physics
Scientific Computations on Modern Parallel Vector Systems
Proceedings of the 2004 ACM/IEEE conference on Supercomputing
Optimization of sparse matrix-vector multiplication on emerging multicore platforms
Proceedings of the 2007 ACM/IEEE conference on Supercomputing
IBM Journal of Research and Development
Fast parallel Particle-To-Grid interpolation for plasma PIC simulations on the GPU
Journal of Parallel and Distributed Computing
0.374 Pflop/s trillion-particle kinetic modeling of laser plasma interaction on Roadrunner
Proceedings of the 2008 ACM/IEEE conference on Supercomputing
Overlapping communication with computation using OpenMP tasks on the GTS magnetic fusion code
Scientific Programming - Exploring Languages for Expressing Medium to Massive On-Chip Parallelism
Hybrid PGAS runtime support for multicore nodes
Proceedings of the Fourth Conference on Partitioned Global Address Space Programming Model
Gyrokinetic toroidal simulations on leading multi- and manycore HPC systems
Proceedings of 2011 International Conference for High Performance Computing, Networking, Storage and Analysis
Extracting ultra-scale Lattice Boltzmann performance via hierarchical and distributed auto-tuning
Proceedings of 2011 International Conference for High Performance Computing, Networking, Storage and Analysis
Journal of Computational Physics
Kinetic turbulence simulations at extreme scale on leadership-class systems
SC '13 Proceedings of the International Conference on High Performance Computing, Networking, Storage and Analysis
The Journal of Supercomputing
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We present multicore parallelization strategies for the particle-to-grid interpolation step in the Gyrokinetic Toroidal Code (GTC), a 3D particle-in-cell (PIC) application to study turbulent transport in magnetic-confinement fusion devices. Particle-grid interpolation is a known performance bottleneck in several PIC applications. In GTC, this step involves particles depositing charges to a 3D toroidal mesh, and multiple particles may contribute to the charge at a grid point. We design new parallel algorithms for the GTC charge deposition kernel, and analyze their performance on three leading multicore platforms. We implement thirteen different variants for this kernel and identify the best-performing ones given typical PIC parameters such as the grid size, number of particles per cell, and the GTC-specific particle Larmor radius variation. We find that our best strategies can be 2x faster than the reference optimized MPI implementation, and our analysis provides insight into desirable architectural features for high-performance PIC simulation codes.