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HAMi-core is the in-container gpu resource controller, it has beed adopted by HAMi, volcano
HAMi-core has the following features:
- Virtualize device meory
- Limit device utilization by self-implemented time shard
- Real-time device utilization monitor
HAMi-core operates by Hijacking the API-call between CUDA-Runtime(libcudart.so) and CUDA-Driver(libcuda.so), as the figure below:
make build-in-docker
CUDA_DEVICE_MEMORY_LIMIT indicates the upper limit of device memory (eg 1g,1024m,1048576k,1073741824)
CUDA_DEVICE_SM_LIMIT indicates the sm utility percentage of each device
# Add 1GiB memory limit and set max SM utility to 50% for all devices export LD_PRELOAD=./libvgpu.so export CUDA_DEVICE_MEMORY_LIMIT=1g export CUDA_DEVICE_SM_LIMIT=50
If you run CUDA applications locally, please create the local directory first.
mkdir /tmp/vgpulock/
If you have updated `CUDA_DEVICE_MEMORY_LIMIT` or `CUDA_DEVICE_SM_LIMIT`, please delete the local cache file.
rm /tmp/cudevshr.cache
## Docker Images
```bash
# Build docker image
docker build . -f=dockerfiles/Dockerfile -t cuda_vmem:tf1.8-cu90
# Configure GPU device and library mounts for container
export DEVICE_MOUNTS="--device /dev/nvidia0:/dev/nvidia0 --device /dev/nvidia-uvm:/dev/nvidia-uvm --device /dev/nvidiactl:/dev/nvidiactl"
export LIBRARY_MOUNTS="-v /usr/cuda_files:/usr/cuda_files -v $(which nvidia-smi):/bin/nvidia-smi"
# Run container and check nvidia-smi output
docker run ${LIBRARY_MOUNTS} ${DEVICE_MOUNTS} -it \
-e CUDA_DEVICE_MEMORY_LIMIT=2g \
-e LD_PRELOAD=/libvgpu/build/libvgpu.so \
cuda_vmem:tf1.8-cu90 \
nvidia-smi
After running, you will see nvidia-smi output similar to the following, showing memory limited to 2GiB:
...
[HAMI-core Msg(1:140235494377280:libvgpu.c:836)]: Initializing.....
Mon Dec 2 04:38:12 2024
+-----------------------------------------------------------------------------------------+
| NVIDIA-SMI 550.107.02 Driver Version: 550.107.02 CUDA Version: 12.4 |
|-----------------------------------------+------------------------+----------------------+
| GPU Name Persistence-M | Bus-Id Disp.A | Volatile Uncorr. ECC |
| Fan Temp Perf Pwr:Usage/Cap | Memory-Usage | GPU-Util Compute M. |
| | | MIG M. |
|=========================================+========================+======================|
| 0 NVIDIA GeForce RTX 3060 Off | 00000000:03:00.0 Off | N/A |
| 30% 36C P8 7W / 170W | 0MiB / 2048MiB | 0% Default |
| | | N/A |
+-----------------------------------------+------------------------+----------------------+
+-----------------------------------------------------------------------------------------+
| Processes: |
| GPU GI CI PID Type Process name GPU Memory |
| ID ID Usage |
|=========================================================================================|
+-----------------------------------------------------------------------------------------+
[HAMI-core Msg(1:140235494377280:multiprocess_memory_limit.c:497)]: Calling exit handler 1
Use environment variable LIBCUDA_LOG_LEVEL to set the visibility of logs
| LIBCUDA_LOG_LEVEL | description |
|---|---|
| 0 | errors only |
| 1(default),2 | errors,warnings,messages |
| 3 | infos,errors,warnings,messages |
| 4 | debugs,errors,warnings,messages |
./test/test_alloc