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https://github.com/zama-ai/tfhe-rs.git
synced 2026-01-09 14:47:56 -05:00
chore(gpu): use PCIe H100 for multi-gpu bench
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@@ -48,6 +48,10 @@ jobs:
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- tfhe/src/high_level_api/**
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- tfhe/src/c_api/**
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- 'tfhe/docs/**.md'
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- Makefile
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- '.github/workflows/aws_tfhe_multi_gpu**'
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- scripts/**
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- ci/**
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setup-instance:
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name: Setup instance (cuda-tests-multi-gpu)
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@@ -49,7 +49,7 @@ jobs:
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slab-url: ${{ secrets.SLAB_BASE_URL }}
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job-secret: ${{ secrets.JOB_SECRET }}
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backend: hyperstack
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profile: multi-h100-nvlink
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profile: multi-h100
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cuda-integer-multi-bit-multi-gpu-benchmarks:
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name: Execute multi GPU integer multi-bit benchmarks
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@@ -153,7 +153,7 @@ jobs:
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run: |
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python3 ./ci/benchmark_parser.py target/criterion ${{ env.RESULTS_FILENAME }} \
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--database tfhe_rs \
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--hardware "n3-H100x8-NVLink" \
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--hardware "n3-H100x8" \
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--backend gpu \
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--project-version "${{ env.COMMIT_HASH }}" \
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--branch ${{ github.ref_name }} \
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@@ -36,7 +36,7 @@ jobs:
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slab-url: ${{ secrets.SLAB_BASE_URL }}
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job-secret: ${{ secrets.JOB_SECRET }}
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backend: hyperstack
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profile: multi-h100-nvlink
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profile: multi-h100
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cuda-integer-full-multi-gpu-benchmarks:
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name: Execute multi GPU integer benchmarks for all operations flavor
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@@ -133,7 +133,7 @@ jobs:
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run: |
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python3 ./ci/benchmark_parser.py target/criterion ${{ env.RESULTS_FILENAME }} \
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--database tfhe_rs \
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--hardware "n3-H100x8-NVLink" \
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--hardware "n3-H100x8" \
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--backend gpu \
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--project-version "${{ env.COMMIT_HASH }}" \
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--branch ${{ github.ref_name }} \
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@@ -7,5 +7,8 @@
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"p5.48xlarge": 98.32,
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"rtx4090": 0.04,
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"n3-H100x1": 4.30,
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"n3-H100x8-NVLink": 22.6
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"n3-H100x8-NVLink": 22.6,
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"n3-H100x8": 22.016,
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"n3-H100x4": 11.008,
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"n3-H100x2": 5.504
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}
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@@ -43,6 +43,11 @@ environment_name = "canada"
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image_name = "Ubuntu Server 22.04 LTS R535 CUDA 12.2"
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flavor_name = "n3-H100x1"
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[backend.hyperstack.multi-h100]
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environment_name = "canada"
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image_name = "Ubuntu Server 22.04 LTS R535 CUDA 12.2"
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flavor_name = "n3-H100x8"
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[backend.hyperstack.multi-h100-nvlink]
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environment_name = "canada"
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image_name = "Ubuntu Server 22.04 LTS R535 CUDA 12.2"
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