nv docker image 下载与使用命令备忘

1，系统需求

Requirements for GPU Simulation ¶

GPU Architectures	Volta, Turing, Ampere, Ada, Hopper
NVIDIA GPU with Compute Capability	7.0+
CUDA	11.x (Driver 470.57.02+), 12.x (Driver 525.60.13+)

Supported Systems ¶

CPU architectures	x86_64, ARM64
Operating System	Linux
Tested Distributions	CentOS 8; Debian 11, 12; Fedora 38, 39; OpenSUSE/SLED/SLES 15.5, 15.6; RHEL 8, 9; Rocky 8, 9; Ubuntu 22.04, 24.04
Python versions	3.10+

2，下载使用

量子计算模拟软件 docker image

下载docker image：

sudo docker pull nvcr.io/nvidia/quantum/cuda-quantum:cu12-0.9.0

创建容器的命令：

sudo docker run --gpus all -it --name cudaq_LHL_01 -v /home/hanmeimei//exe:/home/cudaq/exe nvcr.io/nvidia/quantum/cuda-quantum:cu12-0.9.0

3，vic

install gfortran

/usr/bin/ld: /usr/lib/x86_64-linux-gnu/libz.a(deflate.o): relocation R_X86_64_PC32 against symbol `z_errmsg' can not be used when making a shared object; recompile with -fPIC
build libz and install
mv /urs/lib/x86-..../libz.*** backup_libz.***
git clone https://github.com/madler/zlib.git
cd zlib
git checkout v1.3.1
CFLAGS="-fPIC" ./configure 
make -j
make install


libunwind.so.1: cannot open shared object file: No such file or directory

cd /usr/lib/x86_64-linux-gnu
ln -s libunwind.so.1 libunwind.so.8


curl-8.5.0.tar.gz


#build c++ cudaq

#1.

export ROOT_INSTALL=/home/cudaq/tmp1
export CUDAQ_INSTALL_PREFIX=${ROOT_INSTALL}/local/cudaq
export CUQUANTUM_INSTALL_PREFIX=${ROOT_INSTALL}/local/cuquantum
export CUTENSOR_INSTALL_PREFIX=${ROOT_INSTALL}/local/cutensor
export LLVM_INSTALL_PREFIX=${ROOT_INSTALL}/local/llvm
export BLAS_INSTALL_PREFIX=${ROOT_INSTALL}/local/blas
export ZLIB_INSTALL_PREFIX=${ROOT_INSTALL}/local/zlib
export OPENSSL_INSTALL_PREFIX=${ROOT_INSTALL}/local/openssl
export CURL_INSTALL_PREFIX=${ROOT_INSTALL}/local/curl
export AWS_INSTALL_PREFIX=${ROOT_INSTALL}/local/aws

#2.
#export GCC_TOOLCHAIN=/opt/rh/gcc-toolset-11/root/usr/
#must set for GPU acceleration:

export GCC_TOOLCHAIN=/usr
export CXX="${GCC_TOOLCHAIN}/bin/g++"
export CC="${GCC_TOOLCHAIN}/bin/gcc"
export CUDACXX=/usr/local/cuda/bin/nvcc
export CUDAHOSTCXX="${GCC_TOOLCHAIN}/bin/g++"



如果source code locates in /home/cudaq/tmp1/cuda-quantum:

git config --global --add safe.directory /home/cudaq/tmp1/cuda-quantum

CUDAQ_ENABLE_STATIC_LINKING=TRUE \
CUDAQ_REQUIRE_OPENMP=TRUE \
CUDAQ_WERROR=TRUE \
CUDAQ_PYTHON_SUPPORT=OFF \
LLVM_PROJECTS='clang;flang;lld;mlir;openmp;runtimes' \
bash scripts/build_cudaq.sh -t llvm -v