Efficient GPU Implementation for Particle in Cell Algorithm
暂无分享,去创建一个
[1] Mark F. Adams,et al. Scaling to 150K cores: recent algorithm and performance engineering developments enabling XGC1 to run at scale , 2009 .
[2] Samuel Williams,et al. Memory-efficient optimization of Gyrokinetic particle-to-grid interpolation for multicore processors , 2009, Proceedings of the Conference on High Performance Computing Networking, Storage and Analysis.
[3] Viktor K. Decyk,et al. UPIC: A framework for massively parallel particle-in-cell codes , 2007, Comput. Phys. Commun..
[4] Victor E. Malyshkin,et al. Algorithms of Parallel Realisatiuon of the PIC Method with Assembly Technology , 1999, HPCN Europe.
[5] Ji Qiang,et al. An Object-Oriented Parallel Particle-in-Cell Code for Beam Dynamics Simulation in Linear Accelerators , 2000, ACM/IEEE SC 1999 Conference (SC'99).
[6] Victor E. Malyshkin,et al. Implementation of PIC Method on MIMD Multicomputers with Assembly Technology , 1997, HPCN Europe.
[7] Sanjay Ranka,et al. Dynamic alignment and distribution of irregularly coupled data arrays for scalable parallelization of particle-in-cell problems , 1996, Proceedings of International Conference on Parallel Processing.
[8] Udhyd,et al. Algorithms of Parallel Realisation of the PIC method with Assembly Technology , 2007 .
[9] Wen-mei W. Hwu,et al. Optimization principles and application performance evaluation of a multithreaded GPU using CUDA , 2008, PPoPP.
[10] Nail A. Gumerov,et al. Fast parallel Particle-To-Grid interpolation for plasma PIC simulations on the GPU , 2008, J. Parallel Distributed Comput..