OpenACC directives are available in SQUID, which makes it relatively easy to optimize for the GPU, and can be used in conjunction with OpenMPI.
 

How to use OpenACC

advance preparation

Before using OpenACC, please load the BaseGPU environment with the module command.

module load BaseGPU/2021

 

Compile command

The command to compile is different for each programming language; if you use the OpenACC directive, specify the -acc option

node-internal execution

	C language	C++ language	Fortran language
Command	nvc -acc	nvc++ -acc	nvfortran -acc

Node-to-node execution (MPI)

	C language	C++ language	Fortran language
Command	mpicc -acc	mpic++ -acc	mpif90 -acc

 

compilation example

To compile the code test.f90 with the OpenACC derivation inserted for a set of SQUID GPU nodes, you can use the following (The -Minfo=accel option is used to output optimization messages to the GPU.

nvc -O3 -acc -Minfo=accel test.f90

 

Execution Script

execution on 1 node

Here is an example script for a program that uses GPUs with OpenACC directives. This is a script that executes a batch request with 8 GPUs per node and an elapsed time of 1 hour.
1 2 3 4 5 6 7 8

#!/bin/bash #PBS -q SQUID #PBS --group=[your group name] #PBS -l elapstim_req=01:00:00 #PBS -l gpunum_job=8 module load BaseGPU/2021 cd $PBS_O_WORKDIR ./a.out


 

execution on multinodes with MPI

The following is an example script for an MPI program that uses GPUs with OpenACC directives. This is a script that executes a batch request with 8 GPUs per node, using 2 nodes (8 processes per node, 16 processes in total), and an elapsed time of 1 hour.
1 2 3 4 5 6 7 8 9 10 11

#!/bin/bash #PBS -q SQUID #PBS --group=[your group name] #PBS -l elapstim_req=01:00:00 #PBS -b 2 #PBS -l gpunum_job=8 #PBS -T openmpi #PBS -v NQSV_MPI_MODULE=BaseGPU/2021 cd ${PBS_O_WORKDIR} module load BaseGPU/2021 mpirun ${NQSV_MPIOPTS} -np 16 -npernode 8 mpi_prog