Building szcompressor/cuSZ on Docker container

README.md

Building

# Host machine
git clone https://github.com/szcompressor/cuSZ.git

# Host machine
docker run -it --gpus all --env NVIDIA_DISABLE_REQUIRE=1 -v $PWD/cuSZ:/cusz maltempi/cusz-dev-build /bin/bash

# Example architectures (";"-separated when specifying)
#   Volta        : 70
#   Turing       : 75
#   Ampere       : 80 86
#   Ada Lovelace : 89 (as of CUDA 11.8)
#   Hopper       : 90 (as of CUDA 11.8)
cmake .. -DCUSZ_BUILD_EXAMPLES=on \
    -DCMAKE_BUILD_TYPE=Release \
    -DCUSZ_BUILD_TESTS=on \
    -DCMAKE_CUDA_ARCHITECTURES="75;80;86" \
    -DCMAKE_INSTALL_PREFIX=[/path/to/install/dir]
make -j8

# Install to [/path/to/install/dir]
make install
# An optional testcase run can be done using `ctest`.

Running examples

Original commands

export PATH=$(pwd)/bin:$PATH               ## specify the path temporarily
cd data && sh ./sh.get-sample-data         ## download sample data
CESM=$(pwd)/cesm-CLDHGH-3600x1800 EB=1e-4
cusz -t f32 -m r2r -e ${EB} -i ${CESM} -l 3600x1800 -z --report time
cusz -i ${CESM}.cusza -x --compare ${CESM} --report time

Dockerfile

FROM nvidia/cuda:11.7.0-devel-ubuntu22.04

RUN apt-get update && \ 
    apt-get install -y \
                        make=4.3-4.1build1 \
                        cmake=3.22.1-1ubuntu1 \
                        ninja-build=1.10.1-1 \
                        g++=4:11.2.0-1ubuntu1 \
                        ninja-build=1.10.1-1 \
                        vim \ 
                        python3 \
                        wget

ENV CPLUS_INCLUDE_PATH=/usr/local/cuda/include:$CPLUS_INCLUDE_PATH
ENV C_INCLUDE_PATH=/usr/local/cuda/include:$C_INCLUDE_PATH

WORKDIR /cusz