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
52 lines
1.3 KiB
CMake
52 lines
1.3 KiB
CMake
## Codegen adds the following build targets
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# libcudacxx.atomics.codegen
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# libcudacxx.atomics.codegen.install
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## Test targets:
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# libcudacxx.test.atomics.codegen.diff
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add_executable(codegen EXCLUDE_FROM_ALL codegen.cpp)
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target_compile_features(codegen PRIVATE cxx_std_20)
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set(
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atomic_generated_output
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"${libcudacxx_BINARY_DIR}/codegen/cuda_ptx_generated.h"
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)
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set(
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atomic_install_location
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"${libcudacxx_SOURCE_DIR}/include/cuda/std/__atomic/functions"
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)
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add_custom_target(
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libcudacxx.atomics.codegen
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COMMAND codegen "${atomic_generated_output}"
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BYPRODUCTS "${atomic_generated_output}"
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)
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add_custom_target(
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libcudacxx.atomics.codegen.install
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# gersemi: off
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COMMAND
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"${CMAKE_COMMAND}" -E copy
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"${atomic_generated_output}"
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"${atomic_install_location}/cuda_ptx_generated.h"
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# gersemi: on
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DEPENDS libcudacxx.atomics.codegen
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BYPRODUCTS "${atomic_install_location}/cuda_ptx_generated.h"
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)
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add_test(
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NAME libcudacxx.test.atomics.codegen.diff
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# gersemi: off
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COMMAND
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"${CMAKE_COMMAND}" -E compare_files
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"${atomic_install_location}/cuda_ptx_generated.h"
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"${atomic_generated_output}"
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# gersemi: on
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)
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set_tests_properties(
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libcudacxx.test.atomics.codegen.diff
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PROPERTIES REQUIRED_FILES "${atomic_generated_output}"
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)
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