GPU模拟器，用于CUDA编程，无需硬件 [英] GPU Emulator for CUDA programming without the hardware

问题描述

问题：是否有一个Geforce卡的仿真器，它允许我在没有实际硬件的情况下对CUDA进行编程和测试？

Question: Is there an emulator for a Geforce card that would allow me to program and test CUDA without having the actual hardware?

信息：

我想加快几个模拟我的CUDA，但我的问题是，我不是总是在我的桌面做这个发展。我想在我的上网本做一些工作，但我的上网本没有GPU。现在据我所知，你需要一个CUDA能力的GPU来运行CUDA。有办法解决这个问题吗？看起来像是唯一的方法是一个GPU模拟器（显然会很痛苦，但会工作）。

I'm looking to speed up a few simulations of mine in CUDA, but my problem is that I'm not always around my desktop for doing this development. I would like to do some work on my netbook instead, but my netbook doesn't have a GPU. Now as far as I know, you need a CUDA capable GPU to run CUDA. Is there a way to get around this? It would seem like the only way is a GPU emulator (which obviously would be painfully slow, but would work). But whatever way there is to do this I would like to hear.

我在Ubuntu 10.04 LTS上编程。

I'm programming on Ubuntu 10.04 LTS.

推荐答案

对于在2016年寻求答案的人...

---

免责声明

• 我无法模拟GPU。


• 如果您满足其
  依赖关系列表，请使用 gpuocelot 。



For those who are seeking the answer in 2016 ...

---

Disclaimer

• I've failed to emulate GPU after all.
• It might be possible to use gpuocelot if you satisfy its list of dependencies.

我试图得到一个模拟器的BunsenLabs（Linux 3.16.0-4-686-pae＃1 SMP
Debian 3.16.7-ckt20-1 + deb8u4（2016-02-29）i686 GNU / Linux） 。

I've tried to get an emulator for BunsenLabs (Linux 3.16.0-4-686-pae #1 SMP Debian 3.16.7-ckt20-1+deb8u4 (2016-02-29) i686 GNU/Linux).

我会告诉你我学到了什么。

I'll tell you what I've learnt.




1. nvcc 用于在CUDA中返回 -deviceemu 工具包3.0

   
   
   

   我下载了CUDA Toolkit 3.0，安装并试图运行一个简单的
   程序：

1. nvcc used to have a -deviceemu option back in CUDA Toolkit 3.0

   I downloaded CUDA Toolkit 3.0, installed it and tried to run a simple program:

#include <stdio.h>

__global__ void helloWorld() {
    printf("Hello world! I am %d (Warp %d) from %d.\n",
        threadIdx.x, threadIdx.x / warpSize, blockIdx.x);
}

int main() {
    int blocks, threads;
    scanf("%d%d", &blocks, &threads);
    helloWorld<<<blocks, threads>>>();
    cudaDeviceSynchronize();
    return 0;
}

注意，在CUDA工具包3.0 nvcc 在 / usr / local / cuda / bin / 。

Note that in CUDA Toolkit 3.0 nvcc was in the /usr/local/cuda/bin/.

遇到编译困难：




NOTE: device emulation mode is deprecated in this release
      and will be removed in a future release.

/usr/include/i386-linux-gnu/bits/byteswap.h(47): error: identifier "__builtin_bswap32" is undefined

/usr/include/i386-linux-gnu/bits/byteswap.h(111): error: identifier "__builtin_bswap64" is undefined

/home/user/Downloads/helloworld.cu(12): error: identifier "cudaDeviceSynchronize" is undefined

3 errors detected in the compilation of "/tmp/tmpxft_000011c2_00000000-4_helloworld.cpp1.ii".






我在互联网上发现如果我使用 gcc-4.2 或类似的古代，而不是 gcc-4.9.2 错误可能会消失。我放弃了。

I've found on the Internet that if I used gcc-4.2 or similarly ancient instead of gcc-4.9.2 the errors might disappear. I gave up.

Stringer的回答链接到一个非常古老的 gpuocelot 项目网站。所以起初我以为这个项目在2012年左右被放弃了。

The answer by Stringer has a link to a very old gpuocelot project website. So at first I thought that the project was abandoned in 2012 or so. Actually, it was abandoned few years later.

以下是一些最新的网站：

Here are some up to date websites:



• GitHub ;


• 专案网站;


• 安装指南
• GitHub;
• Project's website;
• Installation guide.

我尝试在指南。我在安装期间有几个错误，但我放弃了。 gpuocelot 不再受支持，并且取决于一组非常特定的库和软件版本。

I tried to install gpuocelot following the guide. I had several errors during installation though and I gave up again. gpuocelot is no longer supported and depends on a set of very specific versions of libraries and software.

您可以尝试关注本教程从2015年7月，但我不保证它会工作。

You might try to follow this tutorial from July, 2015 but I don't guarantee it'll work. I've not tested it.

MCUDA翻译框架是一个基于linux的工具，旨在将
有效地将CUDA编程模型编译为CPU体系结构。

The MCUDA translation framework is a linux-based tool designed to effectively compile the CUDA programming model to a CPU architecture.

这可能是有用的。这是指向网站的链接。

It might be useful. Here is a link to the website.

这是一个在Windows 7和8上使用的模拟器。它似乎不再开发了（最后一次提交日期是2013年7月4日）。

It is an emulator to use on Windows 7 and 8. I've not tried it though. It doesn't seem to be developed anymore (the last commit is dated on Jul 4, 2013).

这是项目网站的链接：https://code.google.com/archive/p/cuda-waste/

Here's the link to the project's website: https://code.google.com/archive/p/cuda-waste/

这篇关于GPU模拟器，用于CUDA编程，无需硬件的文章就介绍到这了，希望我们推荐的答案对大家有所帮助，也希望大家多多支持IT屋！