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updated clone command to use http
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Dockerfile

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@@ -22,7 +22,7 @@ RUN update-alternatives --install /usr/bin/clang++ clang++ /usr/bin/clang++-18 1
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update-alternatives --install /usr/bin/llvm-cxxfilt llvm-cxxfilt /usr/bin/llvm-cxxfilt-18 100
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# clone the repo into the container
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RUN git clone git@github.com:Scientific-Computing-Lab/gpuFLOPBench.git /gpu-flopbench
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RUN git clone https://github.com/Scientific-Computing-Lab/gpuFLOPBench.git /gpu-flopbench
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# get the LFS files
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RUN cd /gpu-flopbench && git checkout main && git pull && git lfs pull && git lfs fetch --all && git lfs checkout
@@ -59,4 +59,4 @@ RUN echo 'conda activate gpu-flopbench' >> ~/.bashrc
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ENV GPU_FLOPBENCH_ROOT=/gpu-flopbench
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# expose the Jupyter notebook port
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EXPOSE 8888
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EXPOSE 8888

README.md

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@@ -91,7 +91,7 @@ git clone [email protected]:Scientific-Computing-Lab/gpuFLOPBench.git ./gpu-flopben
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# we only really need the Dockerfile from the repo
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cd ./gpu-flopbench
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# this takes about 2 minutes on my Macbook Air M4
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# this takes about 10 minutes on my Macbook Air M4
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docker build --platform=linux/amd64 --progress=plain -t 'gpu-flopbench' .
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# please make sure that the Settings > Resources > Network > 'Enable Host Networking' option is enabled on Docker Desktop
@@ -460,4 +460,4 @@ These also include directions we would like to move into though.
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- Only a few codes don't have their `main(...)` included in the source scrape due to us not including source files from other source directories.
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- Our version of LangGraph and LangChain libraries became quickly outdated in the process of this research; we opted to keep our original versions as everything was working, therefore we need to update our scripts to better match the 1.0 release of LangGraph/LangChain.
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- Extend the work to predict better on hidden FLOP counts.
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- Extend the work to predict OpenMP FLOP counts (this is partly why we built with `clang`, to have one compiler do it all).
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- Extend the work to predict OpenMP FLOP counts (this is partly why we built with `clang`, to have one compiler do it all).

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