Difference between revisions of "HOWTO use AmpTools on the JLab farm GPUs"

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m (AmpTools Compilation with CUDA)
m (AmpTools Compilation with CUDA)
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  setenv PATH $ROOTSYS/bin:$PATH
 
  setenv PATH $ROOTSYS/bin:$PATH
  
'''6)''' Edit the AmpTools Makefile to pass the appropriate GPU architecture to the cuda complier
+
'''6)''' Edit the AmpTools Makefile to pass the appropriate GPU architecture to the cuda complier (info e.g. [https://arnon.dk/matching-sm-architectures-arch-and-gencode-for-various-nvidia-cards/ here])
 
  CUDA_FLAGS := -m64 -arch=sm_75
 
  CUDA_FLAGS := -m64 -arch=sm_75
  

Revision as of 10:58, 26 April 2021

Access through SLURM

JLab currently provides 4 NVidia Titan RTX cards. They can be accessed through SLURM, where N is the number of requested cards (1-4):

>salloc --gres gpu:TitanRTX:N --partition gpu --nodes 1

An interactive shell (e.g. bash) on the node with requested allocation can be opened with srun:

>srun --pty bash

Information about the cards, cuda version and usage is displayed with this command:

>nvidia-smi

+-----------------------------------------------------------------------------+
| NVIDIA-SMI 418.87.01    Driver Version: 418.87.01    CUDA Version: 10.1     |
|-------------------------------+----------------------+----------------------+
| GPU  Name        Persistence-M| Bus-Id        Disp.A | Volatile Uncorr. ECC |
| Fan  Temp  Perf  Pwr:Usage/Cap|         Memory-Usage | GPU-Util  Compute M. |
|===============================+======================+======================|
|   0  TITAN RTX           Off  | 00000000:3E:00.0 Off |                  N/A |
| 41%   27C    P8     2W / 280W |      0MiB / 24190MiB |      0%      Default |
+-------------------------------+----------------------+----------------------+

+-----------------------------------------------------------------------------+
| Processes:                                                       GPU Memory |
|  GPU       PID   Type   Process name                             Usage      |
|=============================================================================|
|  No running processes found                                                 |
+-----------------------------------------------------------------------------+

AmpTools Compilation with CUDA

This example was done in csh for the Titan RTX cards on sciml1902.

1) Download latest AmpTools release

wget https://github.com/mashephe/AmpTools/archive/refs/tags/v0.11.0.tar.gz

2) Extract files

tar -xvf v0.11.0.tar.gz

3) Load cuda environment module

module add cuda
setenv CUDA_INSTALL_PATH /usr/local/cuda

4) Set AMPTOOLS directory

setenv AMPTOOLS $PWD/AmpTools

5) Put root-config in your path

setenv PATH $ROOTSYS/bin:$PATH

6) Edit the AmpTools Makefile to pass the appropriate GPU architecture to the cuda complier (info e.g. here)

CUDA_FLAGS := -m64 -arch=sm_75

7) Build main AmpTools library with GPU support

cd $AMPTOOLS
make GPU=1

Performing Fits Interactively

Submitting Batch Jobs