CPU + GPU Stress

Installation

# Install CPU Stress
sudo apt-get update
sudo apt-get insatll stress


# Ref: https://docs.nvidia.com/jetson/agx-thor-devkit/user-guide/0.1.0/setup_cuda.html

# ------------
# Install CUDA 
sudo apt install nvidia-jetpack

## CUDA Path Configuration
echo "export PATH=/usr/local/cuda/bin:$PATH" >> ~/.bashrc
echo "export LD_LIBRARY_PATH=/usr/local/cuda/lib64:$LD_LIBRARY_PATH" >> ~/.bashrc
source ~/.bashrc


# ------------
# Download GPU-Burn
cd ~/Desktop
git clone https://github.com/wilicc/gpu-burn.git
cd gpu-burn

## Edit two files before make

## Edit: gpu_burn-drv.cpp
template <class T> class GPU_Test {
  public:
    GPU_Test(int dev, bool doubles, bool tensors, const char *kernelFile)
...

        // checkError(cuCtxCreate(&d_ctx, 0, d_dev));        
        CUctxCreateParams params = {0}; // Initialize params
        checkError(cuCtxCreate(&d_ctx, &params, 0, d_dev));

...

## Edit: Makefile

#COMPUTE      ?= 50
#CUDA_VERSION ?= 11.8.0
COMPUTE      ?= 110 # Thor
CUDA_VERSION ?= 13.0.48

### The CUDA_VERSION is mapped with
# nvcc --version
## nvcc: NVIDIA (R) Cuda compiler driver
## Copyright (c) 2005-2025 NVIDIA Corporation
## Built on Wed_Jul_16_07:31:19_PM_PDT_2025
## Cuda compilation tools, release 13.0, V13.0.48
## Build cuda_13.0.r13.0/compiler.36260728_0

make -j$(nproc)

Stress

# Stress CPU with all CPU Cores
stress -c $(nproc)
## stress: info: [94477] dispatching hogs: 14 cpu, 0 io, 0 vm, 0 hdd

# GPU Stress with Tensor Cores for 100 hours
cd ~/Desktop/gpu-burn  
./gpu_burn -tc 360000
## Using compare file: compare.ptx
## Burning for 360000 seconds.
## NVIDIA Jetson AGX Thor Developer Kit
## Initialized device 0 with 125772 MB of memory (11931 MB available, using 10738 MB of it), using FLOATS, using Tensor Cores
## Results are 268435456 bytes each, thus performing 39 iterations
## 0.0%  proc'd: 1677 (39453 Gflop/s)   errors: 0   temps: --

# Change to MAXN mode
sudo nvpmodel -m 0

# Lock CPU and GPU at the top frequency with 100% fan speed
sudo jetson_clocks --fan
## Persistence mode is already Enabled for GPU 00000000:01:00.0.
## All done.