Update Ubuntu 22.04 CUDA machine to C++20

This is to enable running it on the CI bridge machine, which needs CUDA
12.4 and thereby Ubuntu 22.04. Also adds an Ubuntu 22.04 machine with
OneAPI and CUDA.

.github/workflows/build-images.yml

@@ -21,6 +21,7 @@ jobs:
           - ubuntu2204_exatrkx
           - ubuntu2204
           - ubuntu2204_cuda
+          - ubuntu2204_cuda_oneapi
           - ubuntu2204_clang
           - ubuntu2204_cpp17
           - ubuntu2204_rocm_clang

ubuntu2204_cuda/Dockerfile

@@ -5,7 +5,7 @@
 # Mozilla Public License Version 2.0
 
 # Start from the (at the time of writing) latest Acts Ubuntu 22.04 image.
-FROM ghcr.io/acts-project/ubuntu2204:47
+FROM ghcr.io/acts-project/ubuntu2204:55
 
 # Some description for the image.
 LABEL description="Ubuntu 22.04 with Acts dependencies and CUDA"

ubuntu2204_cuda_oneapi/Dockerfile

@@ -0,0 +1,65 @@
+# Docker machinery, part of the ACTS project
+#
+# (c) 2024 CERN for the benefit of the ACTS project
+#
+# Mozilla Public License Version 2.0
+
+# Start from the (at the time of writing) latest Acts Ubuntu 24.04 image.
+FROM ghcr.io/acts-project/ubuntu2204:55
+
+# Some description for the image.
+LABEL description="Ubuntu 22.04 with Acts dependencies and CUDA + oneAPI"
+LABEL maintainer="Stephen Nicholas Swatman <[email protected]>"
+
+# Add the Ubuntu 22.04 CUDA repository.
+RUN curl -SL https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/x86_64/cuda-keyring_1.1-1_all.deb \
+       -o cuda-keyring.deb && \
+    dpkg -i cuda-keyring.deb && \
+    rm cuda-keyring.deb
+
+# Install CUDA.
+ARG CUDA_VERSION=12-4
+RUN apt-get update && \
+    apt-get install -y cuda-compat-${CUDA_VERSION} cuda-cudart-${CUDA_VERSION} \
+                       cuda-libraries-dev-${CUDA_VERSION}                      \
+                       cuda-command-line-tools-${CUDA_VERSION}                 \
+                       cuda-minimal-build-${CUDA_VERSION} &&                   \
+    apt-get clean -y
+
+# Set up the CUDA environment.
+ENV NVIDIA_VISIBLE_DEVICES=all
+ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
+ENV PATH=/usr/local/cuda/bin:${PATH}
+ENV LD_LIBRARY_PATH=/usr/local/cuda/lib64:${LD_LIBRARY_PATH}
+ENV CUDAHOSTCXX="clang++"
+ENV CUDAFLAGS="-allow-unsupported-compiler"
+
+# Set up the Intel package signing key.
+RUN mkdir --parents --mode=0755 /etc/apt/keyrings && \
+    curl -SL https://apt.repos.intel.com/intel-gpg-keys/GPG-PUB-KEY-INTEL-SW-PRODUCTS.PUB | \
+    gpg --dearmor > /usr/share/keyrings/oneapi-archive-keyring.gpg
+
+# Set up the oneAPI repository.
+COPY oneapi.list /etc/apt/sources.list.d/
+
+# Install oneAPI.
+ARG ONEAPI_VERSION=2024.2
+RUN apt-get update && \
+    apt-get install -y intel-oneapi-compiler-dpcpp-cpp-${ONEAPI_VERSION} && \
+    apt-get clean -y
+
+# Install the CodePlay NVIDIA plugin on top of oneAPI.
+ARG CODEPLAY_PLUGIN_VERSION=2024.2
+RUN curl -SL \
+    "https://developer.codeplay.com/api/v1/products/download?product=oneapi&variant=nvidia&version=${CODEPLAY_PLUGIN_VERSION}" \
+    -o plugin.sh && \
+    sh plugin.sh --install-dir /opt/intel/oneapi --yes && \
+    rm plugin.sh
+
+# Set up the oneAPI environment. Note that one *MUST* source the
+# /opt/intel/oneapi/setvars.sh script to make the following work. Which has to
+# be done in the respective CI scripts.
+ENV CC="clang"
+ENV CXX="clang++"
+ENV SYCLCXX="clang++"
+ENV SYCLFLAGS="-fsycl -fsycl-targets=nvidia_gpu_sm_75 -Wno-unknown-cuda-version"

ubuntu2204_cuda_oneapi/oneapi.list

@@ -0,0 +1 @@
+deb [signed-by=/usr/share/keyrings/oneapi-archive-keyring.gpg] https://apt.repos.intel.com/oneapi all main

ubuntu2404_rocm_oneapi/Dockerfile

@@ -51,7 +51,7 @@ RUN curl -SL \
 # Set up the oneAPI environment. Note that one *MUST* source the
 # /opt/intel/oneapi/setvars.sh script to make the following work. Which has to
 # be done in the respective CI scripts.
-ENV CC="icx"
-ENV CXX="icpx"
-ENV SYCLCXX="icpx"
+ENV CC="clang"
+ENV CXX="clang++"
+ENV SYCLCXX="clang++"
 ENV SYCLFLAGS="-fsycl -fsycl-targets=amd_gpu_gfx1031"