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
39 lines
1.2 KiB
CMake
39 lines
1.2 KiB
CMake
# This file defines the `thrust_build_compiler_targets()` function, which
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# creates the following interface targets:
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#
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# thrust.compiler_interface
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# Provides compiler settings for all thrust tests, examples, etc. This should not be used
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# directly, as it is linked to by all thrust configuration targets in THRUST_TARGETS.
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function(thrust_build_compiler_targets)
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set(cuda_compile_options)
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set(cxx_compile_options)
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set(cxx_compile_definitions)
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if ("MSVC" STREQUAL "${CMAKE_CXX_COMPILER_ID}")
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# Disabled loss-of-data conversion warnings.
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# TODO Re-enable.
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append_option_if_available("/wd4244" cxx_compile_options)
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# Disable warning about applying unary operator- to unsigned type.
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# TODO Re-enable.
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append_option_if_available("/wd4146" cxx_compile_options)
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endif()
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cccl_build_compiler_interface(
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thrust.compiler_flags
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"${cuda_compile_options}"
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"${cxx_compile_options}"
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"${cxx_compile_definitions}"
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)
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add_library(thrust.compiler_interface INTERFACE)
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target_link_libraries(
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thrust.compiler_interface
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INTERFACE
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# order matters here, we need the project options to override the cccl options.
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cccl.compiler_interface
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thrust.compiler_flags
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)
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endfunction()
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