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Mac os docker access intel gpu install#
Mac os docker access intel gpu software#

May cause system library to be found instead of custom built libraryĬreate a file ending in “.conf” in the dynamic linker configuration directory and list all the library paths needed at runtime (recommended).

Note some libraries will hard-code link path so relocating to /usr in staged build causes runtime errorĪdd custom LD_LIBRARY_PATH paths then prefix LD_LIBRARY_PATH with original (i.e.

opt/local) in the builder stage and relocate this to /usr in final stage

Mac os docker access intel gpu install#

Install compiled binaries into an isolated directory (e.g. Avoid changing the LD_LIBRARY_PATH after image launch. Manipulating LD_LIBRARY_PATH at NERSC can cause issues with MPI since Shifter must manipulate the LD_LIBRARY_PATH at runtime to inject the optimized MPI libraries. SHELL ENTRYPOINT Build Staging Recommendations ¶ # Entry point # COPY config/runtime-entrypoint.sh /intel-runtime-entrypoint.sh Libc6 libcc1-0 libgcc1 libgmp10 libisl15 libmpc3 libmpfr4 libstdc++6 & \ # Stage 2 from base image # FROM debian:latest COPY -from =builder /usr /usr/ĬOPY -from =builder /opt/intel/ /opt/intelĪpt-get -y -no-install-recommends install -reinstall \

# funcs defined in /etc/bash.bashrc # configs link paths and deletes static libs RUN write-ld-config nf & \ # Stage 1 from image with compilers # FROM devel_psxe_2018_cxx as builder WORKDIR /root USER root ENV HOME /root Here is an example of a multi-stage build used to compile an MPI application written in C. Use second “FROM” statement with “runtime” image variant and copy from first imageīuild Staging Example using NERSC's Intel Docker images ¶ Use first “FROM” statement with “devel” image variant and label with “as” keyword (e.g. The Basic steps in using Multi-stage builds with the Intel compilers is:

Mac os docker access intel gpu software#

As always, consult the license terms of any software you use in your images before distributing them on a public site such as DockerHub. The images also remove binaries that require an Intel license which means that they can be distributed without violating the License terms of the compilers.

Smaller images can be pulled and converted more quickly by Docker and Shifter. Multistage builds can be used to create compact images optimized for running applications. The image follow the following naming scheme.: /nersc/intel_ Using Multistage Docker Builds ¶.The images have a number of combinations of components, versions, and image use. NERSC has built a number of images to support building and running applications using Intel Compiler suite. Follow instructions from Using NERSC's Private Registry.Intel Parallel Studio XE 2018 Docker containers are now available at in the “nersc” directoryĪccess to the NERSC private registry is required Using NERSC's Intel Docker Containers ¶ Overview ¶