Merge pull request #1279 from raxod502/patch-1

Add tips about getting gpu-burn to compile

Author: thomas-zimmerman

content/hardware-failure.md

@@ -123,43 +123,48 @@ Click the 'Run' button to begin the program.
 
 ### GPU Burn (for NVIDIA GPU's only)
 
-We can also test the GPU by using GPU Burn; first, if we're on Ubuntu, we'll need to install git and CUDA with this command:
+We can also test the GPU by using GPU Burn. First, ensure git and CUDA are installed with this command:
 
 ```bash
-sudo apt install git system76-cuda-latest 
+sudo apt install git nvidia-cuda-toolkit
 ```
 
-Then, we will create the symlink for <u>gpu-burn</u>:
+Next, clone the repository and enter its directory with these commands:
 
 ```bash
-sudo ln -s /usr/lib/cuda-11.2 /usr/local/cuda
+git clone https://github.com/wilicc/gpu-burn.git
+cd gpu-burn
 ```
 
-Next, we can clone the repository with this command:
+Now we'll compile it:
 
 ```bash
-git clone https://github.com/wilicc/gpu-burn.git
+make
 ```
 
-Now that we have cloned it, we can move into that directory like so:
+#### GCC Errors (Pop!_OS 22.04)
 
-```bash
-cd gpu-burn
+On some versions of Pop!_OS and Ubuntu (including 22.04), the default version of GCC may fail to compile gpu-burn. Install a compatible version with this command:
+
+```
+sudo apt install g++-10
 ```
 
-Now we'll compile it:
+Then, run `make` again, specifying which version of GCC to use:
 
-```bash
-make
 ```
+make NVCCFLAGS='-ccbin /usr/bin/g++-10'
+```
+
+#### Running GPU Burn Tests
 
-For NVIDIA **RTX** GPUs we can use Tensor cores to run it like so (this example will run it for 60 minutes/1 hour):
+For NVIDIA **RTX** GPUs, run the test using Tensor cores like so (this example will run it for 3600 seconds/1 hour):
 
 ```bash
 ./gpu_burn -tc 3600
 ```
 
-For NVIDIA **GTX** GPUs run it like so (this example will run it for 60 minutes/1 hour):
+For NVIDIA **GTX** GPUs, run the test using CUDA cores like so (this example will run it for 3600 seconds/1 hour):
 
 ```bash
 ./gpu_burn 3600