Parallel hyperbolic PDE simulation on clusters: Cell versus GPU

This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2018)

Abstract
Increasingly, high-performance computing is looking towards data-parallel computational devices to enhance computational performance. Two technologies that have received significant attention are IBM's Cell Processor and NVIDIA's CUDA programming model for graphics processing unit (GPU) computing. In this paper we investigate the acceleration of parallel hyperbolic partial differential equation simulation on structured grids with explicit time integration on clusters with Cell and GPU backend...

Title of program: SWsolver
Catalogue Id: AEGY_v1_0

Nature of problem
MPI-parallel simulation of Shallow Water equations using high-resolution 2D hyperbolic equation solver on regular Cartesian grids for x86 CPU, Cell Processor, and NVIDIA GPU using CUDA.

Versions of this program held in the CPC repository in Mendeley Data
AEGY_v1_0; SWsolver; 10.1016/j.cpc.2010.07.049

本程序源自贝尔法斯特女王大学馆藏的CPC程序库（1969-2018）

摘要
高性能计算正日益依赖数据并行计算设备以提升计算性能。其中获得广泛关注的两项技术分别为IBM的Cell处理器（Cell Processor），以及适用于图形处理器（GPU）计算的NVIDIA CUDA编程模型。本文针对搭载Cell处理器与GPU后端的集群环境，研究了采用显式时间积分的结构化网格上双曲型偏微分方程并行模拟的加速方法……

程序名称：SWsolver
目录编号：AEGY_v1_0

问题本质
针对x86 CPU、Cell处理器与支持CUDA的NVIDIA GPU，在规则笛卡尔网格上采用高分辨率二维双曲方程求解器，实现浅水波方程的MPI并行模拟

Mendeley数据中CPC库内的本程序版本：AEGY_v1_0；SWsolver；10.1016/j.cpc.2010.07.049