NASP/cuda-samples
35
0
Fork 0
mirror of https://github.com/NVIDIA/cuda-samples.git synced 2024-11-28 13:19:14 +08:00
Code Issues Packages Projects Releases Wiki Activity
26665bf33b
cuda-samples/Samples/5_Domain_Specific/nbody_screen
History
Rob Nertney 00bb9bc367 Updating files for Ada architecture
2023-02-27 22:33:19 +00:00
..
.vscode add and update samples for CUDA 11.6 2022-01-13 11:35:24 +05:30
bodysystem.h add and update samples for CUDA 11.6 2022-01-13 11:35:24 +05:30
bodysystemcpu_impl.h add and update samples for CUDA 11.6 2022-01-13 11:35:24 +05:30
bodysystemcpu.h add and update samples for CUDA 11.6 2022-01-13 11:35:24 +05:30
bodysystemcuda_impl.h add and update samples for CUDA 11.6 2022-01-13 11:35:24 +05:30
bodysystemcuda.cu add and update samples for CUDA 11.6 2022-01-13 11:35:24 +05:30
bodysystemcuda.h add and update samples for CUDA 11.6 2022-01-13 11:35:24 +05:30
findgleslib.mk Update samples for CUDA 11.8 with correct props 2022-10-14 17:43:37 -07:00
galaxy_20K.bin add and update samples for CUDA 11.6 2022-01-13 11:35:24 +05:30
Makefile Updating files for Ada architecture 2023-02-27 22:33:19 +00:00
nbody_screen.cpp add and update samples for CUDA 11.6 2022-01-13 11:35:24 +05:30
NsightEclipse.xml Updating files for Ada architecture 2023-02-27 22:33:19 +00:00
README.md Updating files for Ada architecture 2023-02-27 22:33:19 +00:00
render_particles.cpp add and update samples for CUDA 11.6 2022-01-13 11:35:24 +05:30
render_particles.h add and update samples for CUDA 11.6 2022-01-13 11:35:24 +05:30
tipsy.h add and update samples for CUDA 11.6 2022-01-13 11:35:24 +05:30

README.md

nbody_screen - CUDA N-Body Simulation on Screen

Description

This sample demonstrates efficient all-pairs simulation of a gravitational n-body simulation in CUDA. Unlike the OpenGL nbody sample, there is no user interaction.

Key Concepts

Graphics Interop, Data Parallel Algorithms, Physically-Based Simulation

Supported SM Architectures

SM 5.0 SM 5.2 SM 5.3 SM 6.0 SM 6.1 SM 7.0 SM 7.2 SM 7.5 SM 8.0 SM 8.6 SM 8.7 SM 8.9 SM 9.0

Supported OSes

QNX

Supported CPU Architecture

aarch64

CUDA APIs involved

CUDA Runtime API

cudaGraphicsUnmapResources, cudaSetDeviceFlags, cudaGraphicsResourceSetMapFlags, cudaGraphicsResourceGetMappedPointer, cudaGraphicsMapResources, cudaSetDevice, cudaEventSynchronize, cudaGetDeviceProperties, cudaDeviceSynchronize, cudaEventRecord, cudaGetDevice, cudaMemcpyToSymbol, cudaStreamQuery, cudaEventDestroy, cudaEventElapsedTime, cudaGetDeviceCount, cudaEventCreate

Dependencies needed to build/run

screen, GLES

Prerequisites

Download and install the CUDA Toolkit 12.0 for your corresponding platform. Make sure the dependencies mentioned in Dependencies section above are installed.

Build and Run

Linux

The Linux samples are built using makefiles. To use the makefiles, change the current directory to the sample directory you wish to build, and run make:

$ cd <sample_dir>
$ make

The samples makefiles can take advantage of certain options:

  • TARGET_ARCH= - cross-compile targeting a specific architecture. Allowed architectures are aarch64. By default, TARGET_ARCH is set to HOST_ARCH. On a x86_64 machine, not setting TARGET_ARCH is the equivalent of setting TARGET_ARCH=x86_64.
    $ make TARGET_ARCH=aarch64
    See here for more details.

  • dbg=1 - build with debug symbols

    $ make dbg=1

  • SMS="A B ..." - override the SM architectures for which the sample will be built, where "A B ..." is a space-delimited list of SM architectures. For example, to generate SASS for SM 50 and SM 60, use SMS="50 60".

    $ make SMS="50 60"

  • HOST_COMPILER=<host_compiler> - override the default g++ host compiler. See the Linux Installation Guide for a list of supported host compilers.

    $ make HOST_COMPILER=g++

References (for more details)