Use high-speed linker in Linux Github workflow
Using mold instead of GNU ld reduces the total build time by roughly
5-15 min. (depending on the load).
Change-Id: I66feab4e54c248cf92cc379d0085a93bdfdfef69
diff --git a/.github/workflows/linux.yml b/.github/workflows/linux.yml
index d155e59..24f274f 100644
--- a/.github/workflows/linux.yml
+++ b/.github/workflows/linux.yml
@@ -87,6 +87,19 @@
tar -xf libcudss-linux-x86_64-0.3.0.9_cuda12-archive.tar.xz
echo "cudss_DIR=${{github.workspace}}/libcudss-linux-x86_64-0.3.0.9_cuda12-archive/lib/cmake/cudss" >> $GITHUB_ENV
+ - name: Cache Mold
+ id: cache-mold
+ uses: actions/cache@v4
+ with:
+ path: mold-2.36.0-x86_64-linux/
+ key: mold-2.36.0
+
+ - name: Setup Mold
+ if: steps.cache-mold.outputs.cache-hit != 'true'
+ run: |
+ wget https://github.com/rui314/mold/releases/download/v2.36.0/mold-2.36.0-x86_64-linux.tar.gz
+ tar xvf mold-2.36.0-x86_64-linux.tar.gz
+
- name: Cache Build
id: cache-build
uses: actions/cache@v4
@@ -95,11 +108,15 @@
key: ${{matrix.os}}-ccache-${{matrix.build_type}}-${{matrix.lib}}-${{matrix.gpu}}-${{github.run_id}}
restore-keys: ${{matrix.os}}-ccache-${{matrix.build_type}}-${{matrix.lib}}-${{matrix.gpu}}-
- - name: Setup Environment
+ - name: Setup Build Environment
if: matrix.build_type == 'Release'
run: |
echo 'CXXFLAGS=-flto' >> $GITHUB_ENV
+ - name: Setup Runtime Environment
+ run: |
+ echo "${{github.workspace}}/mold-2.36.0-x86_64-linux/libexec/mold" >> $GITHUB_PATH
+
- name: Configure
run: |
cmake -S . -B build_${{matrix.build_type}} \
