PROJECT STATUS: complete Contained in this directory is code for simulating the n-body problem using the barnes-hut tree algorithm.The barnes hut cuda code is loosely based on the openCL code by Benjamin Neukom https://github.com/bneukom/gpu-nbody and the paper "An Efficient CUDA Implementation of the Tree-Based Barnes Hut n-Body Algorithm" by Martin Burtscher and Keshav Pingali. ***************************************** Dependencies ***************************************** This software requires the Nvidia CUDA toolkit installed on a system with a CUDA capable device (gcc must also be installed).To install CUDA see https://developer.nvidia.com/cuda-downloads and the CUDA Quick Start Guide. ***************************************** Compiling ***************************************** Before compiling see notes below. To compile the code simply type in a terminal: make clean make build ***************************************** Running ***************************************** To run the barnes-hut algorithm with benchmarks for 500 iterations, simply type: ./main -barnes-hut -benchmark -iterations=500 ***************************************** Notes ***************************************** Currently you must manually set the number of particles (numbodies) in main.cpp and then ensure that the blockSize variable in kernels.cu and the blockSize and gridSize variables in particle_cuda.cu matches. For example if you set numbodies = 64*64 in main.cpp, then you must also set blockSize = 64 in kernels.cu, and blockSize = 64, gridSize = 64, in particle_cuda.cu.