56fd68e7dd
CCCL (CUDA C++ Core Libraries) provides: - CUB: device/block/warp-level GPU primitives (reduce, scan, sort, topk) - Thrust: high-level parallel algorithms (transform_reduce, sort, scan) - libcudacxx: CUDA C++ standard library (atomics, barriers, memory) - cudax: experimental features (memory resources, allocators) - Tuning policies: per-SM hardware-specific algorithm parameters Competition optimization vectors mapped to CCCL: - Output TPS (83% weight): warp_reduce, block_reduce, device_topk - Input TPS (14% weight): device_scan, block_load, prefetch - Cache TPS (3% weight): prefix caching strategy patterns - Memory (0.9 util): pooled/cached/buddy allocators Source: https://github.com/NVIDIA/cccl (shallow clone, HEAD only) License: Apache-2.0
48 lines
1.3 KiB
Bash
Executable File
48 lines
1.3 KiB
Bash
Executable File
#!/usr/bin/env bash
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# This script schedules a SLURM job via crun on computelab to run all CCCL benchmarks and produce a benchmark database
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# TODO: set those accordingly
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scratch=/home/scratch."$USER"_sw
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node_selector="cpu.arch=x86_64 and gpu.product_name='*B200*'"
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container_image="rapidsai/devcontainers:26.06-cpp-gcc14-cuda13.2"
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jobtime="4:00:00"
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benchmark_preset="benchmark"
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batch_script=$scratch/batch.sh
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cat << BATCH_SCRIPT > "$batch_script"
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#!/usr/bin/env bash
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pip install --break-system-packages fpzip pandas scipy
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# clone CCCL
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host=\$(hostname)
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cd $scratch
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if [ -d "\$host/cccl" ]; then
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rm -r \$host/cccl
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fi
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mkdir \$host
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cd \$host
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git clone --depth 1 git@github.com:NVIDIA/cccl.git
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cd cccl
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# configure cmake
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mkdir build_perf
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cd build_perf
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cmake .. --preset $benchmark_preset
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# run benchmarks
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export CUDA_VISIBLE_DEVICES=0
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export PYTHONPATH=../benchmarks/scripts/
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../benchmarks/scripts/run.py
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echo "Benchmark done. Results in $scratch/\$host/cccl/build_perf/cccl_meta_bench.db"
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BATCH_SCRIPT
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chmod +x "$batch_script"
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# schedule SLURM job
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echo "Scheduling script $batch_script"
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echo "#################################################################################"
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cat "$batch_script"
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echo "#################################################################################"
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crun -q "$node_selector" -ex -t "$jobtime" -img "$container_image" -b "$batch_script"
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