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JRPan committed Jan 23, 2024
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44 changes: 44 additions & 0 deletions .github/workflows/docker-publish.yml
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name: Docker

# This workflow uses actions that are not certified by GitHub.
# They are provided by a third-party and are governed by
# separate terms of service, privacy policy, and support
# documentation.

on:
push:
pull_request:

env:
# Use docker.io for Docker Hub if empty
REGISTRY: docker.io


jobs:
push_to_registry:
name: Push Docker image to Docker Hub
runs-on: ubuntu-latest
steps:
- name: Check out the repo
uses: actions/checkout@v4

- name: Log in to Docker Hub
uses: docker/login-action@f4ef78c080cd8ba55a85445d5b36e214a81df20a
with:
username: ${{ secrets.DOCKERHUB_USER }}
password: ${{ secrets.DOCKERHUB_TOKEN }}

- name: Extract metadata (tags, labels) for Docker
id: meta
uses: docker/metadata-action@9ec57ed1fcdbf14dcef7dfbe97b2010124a938b7
with:
images: tgrogers/accel-sim_regress

- name: Build and push Docker image
uses: docker/build-push-action@3b5e8027fcad23fda98b2e3ac259d8d67585f671
with:
context: .
file: ./Dockerfile
push: true
tags: ${{ steps.meta.outputs.tags }}
labels: ${{ steps.meta.outputs.labels }}
31 changes: 31 additions & 0 deletions Dockerfile
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FROM ubuntu:22.04

SHELL ["/bin/bash", "-c"]

WORKDIR /accel-sim
ADD . /accel-sim

ENV CUDA_INSTALL_PATH /usr/local/cuda-11.7
ENV PTXAS_CUDA_INSTALL_PATH /usr/local/cuda-11.7
ENV GPUAPPS_ROOT /accel-sim/gpu-app-collection

RUN apt-get update \
&& apt-get install -y wget build-essential xutils-dev bison zlib1g-dev flex \
libglu1-mesa-dev git g++ libssl-dev libxml2-dev libboost-all-dev git g++ \
libxml2-dev vim python-setuptools python3-pip \
&& apt-get clean \
&& pip3 install pyyaml plotly psutil \
&& wget https://developer.download.nvidia.com/compute/cuda/11.7.0/local_installers/cuda_11.7.0_515.43.04_linux.run \
&& sh cuda_11.7.0_515.43.04_linux.run --silent --toolkit \
&& rm cuda_11.7.0_515.43.04_linux.run \
&& rm -rf /usr/local/cuda-11.7/nsight-compute-2022.2.0 \
&& rm -rf /usr/local/cuda-11.7/nsight-systems-2022.1.3

RUN export PATH=$CUDA_INSTALL_PATH/bin:$PATH \
&& git clone https://github.com/accel-sim/gpu-app-collection \
&& source ./gpu-app-collection/src/setup_environment \
&& make -j -C ./gpu-app-collection/src rodinia_2.0-ft \
&& make -j -C ./gpu-app-collection/src GPU_Microbenchmark \
&& make -j -C ./gpu-app-collection/src data \
&& rm gpucomputingsdk_4.2.9_linux.run \
&& rm -rf 4.2
28 changes: 28 additions & 0 deletions LICENSE
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BSD 3-Clause License

Copyright (c) 2024, Accel-Sim

Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are met:

1. Redistributions of source code must retain the above copyright notice, this
list of conditions and the following disclaimer.

2. Redistributions in binary form must reproduce the above copyright notice,
this list of conditions and the following disclaimer in the documentation
and/or other materials provided with the distribution.

3. Neither the name of the copyright holder nor the names of its
contributors may be used to endorse or promote products derived from
this software without specific prior written permission.

THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
13 changes: 13 additions & 0 deletions README.md
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# Dockerfile for Accel-Sim

This repo hosts the Dockerfiles used in regression tests for Accel-Sim and GPGPU-Sim.
The image can be pull from Docker Hub [tgrogers/accel-sim_regress](https://hub.docker.com/r/tgrogers/accel-sim_regress)
```
docker pull tgrogers/accel-sim_regress:Ubuntu-22.04-cuda-11.7
```

To run tests:
```
# in accel-sim-framework
docker run tgrogers/accel-sim_regress:Ubuntu-22.04-cuda-11.7 /bin/bash short-tests.sh
```

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