Difference between revisions of "OpenACC Workshop"

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To copy data from the course directory:
To copy data from the course directory:
  cp -r /user/gilu2568/<dir> .
  cp -r /user/gilu2568/<dir> .
For profiling first get allocation:
salloc -p mpcg.p --gres=gpu:1
Create a script that runs an application, e.g. sincos.sh in the sincos example
#!/bin/bash
module load hpc-uniol-env
module load PGI
module load CUDA-Toolkit
./sincos $@

Revision as of 15:24, 29 March 2017

Slides

Agenda
Welcome and Introduction
Day 1 Morning Lecture: Introduction OpenACC I
Day 1 Afternoon Lecture: Introduction OpenACC II
Day 2 Morning Lecture: Advanced OpenACC
Day 2 Afternoon Lecture: GPU-enabled Numerical Library

Quick Guide OpenACC

Modules to load:

module load PGI CUDA-Toolkit

Command to compile:

pgcc -acc -ta=tesla:cc60 -o executable code.c

Command to run:

srun -p mpcg.p --gres=gpu:1 ./executable

Alternatively use partition cfdg.p.

More info in the OpenACC Introduction.

Workshop

To copy data from the course directory:

cp -r /user/gilu2568/<dir> .

For profiling first get allocation:

salloc -p mpcg.p --gres=gpu:1

Create a script that runs an application, e.g. sincos.sh in the sincos example

#!/bin/bash
module load hpc-uniol-env
module load PGI
module load CUDA-Toolkit
./sincos $@