//===-- gpuintrin.h - Generic GPU intrinsic functions ---------------------===// // // Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions. // See https://llvm.org/LICENSE.txt for license information. // SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception // //===----------------------------------------------------------------------===// // // Provides wrappers around the clang builtins for accessing GPU hardware // features. The interface is intended to be portable between architectures, but // some targets may provide different implementations. This header can be // included for all the common GPU programming languages, namely OpenMP, HIP, // CUDA, and OpenCL. // //===----------------------------------------------------------------------===// #ifndef __GPUINTRIN_H #define __GPUINTRIN_H #if !defined(_DEFAULT_FN_ATTRS) #if defined(__HIP__) || defined(__CUDA__) #define _DEFAULT_FN_ATTRS __attribute__((device)) #else #define _DEFAULT_FN_ATTRS #endif #endif #include #if !defined(__cplusplus) _Pragma("push_macro(\"bool\")"); #define bool _Bool #endif #if defined(__NVPTX__) #include #elif defined(__AMDGPU__) #include #elif defined(__SPIRV__) #include #elif !defined(_OPENMP) #error "This header is only meant to be used on GPU architectures." #endif _Pragma("omp begin declare target device_type(nohost)"); _Pragma("omp begin declare variant match(device = {kind(gpu)})"); // Attribute to declare a function as a kernel. #define __gpu_kernel __attribute__((device_kernel, visibility("protected"))) #define __GPU_X_DIM 0 #define __GPU_Y_DIM 1 #define __GPU_Z_DIM 2 // Returns the number of blocks in the requested dimension. _DEFAULT_FN_ATTRS static __inline__ uint32_t __gpu_num_blocks(int __dim) { switch (__dim) { case 0: return __gpu_num_blocks_x(); case 1: return __gpu_num_blocks_y(); case 2: return __gpu_num_blocks_z(); default: return 1; } } // Returns the number of block id in the requested dimension. _DEFAULT_FN_ATTRS static __inline__ uint32_t __gpu_block_id(int __dim) { switch (__dim) { case 0: return __gpu_block_id_x(); case 1: return __gpu_block_id_y(); case 2: return __gpu_block_id_z(); default: return 0; } } // Returns the number of threads in the requested dimension. _DEFAULT_FN_ATTRS static __inline__ uint32_t __gpu_num_threads(int __dim) { switch (__dim) { case 0: return __gpu_num_threads_x(); case 1: return __gpu_num_threads_y(); case 2: return __gpu_num_threads_z(); default: return 1; } } // Returns the thread id in the requested dimension. _DEFAULT_FN_ATTRS static __inline__ uint32_t __gpu_thread_id(int __dim) { switch (__dim) { case 0: return __gpu_thread_id_x(); case 1: return __gpu_thread_id_y(); case 2: return __gpu_thread_id_z(); default: return 0; } } // Get the first active thread inside the lane. _DEFAULT_FN_ATTRS static __inline__ uint64_t __gpu_first_lane_id(uint64_t __lane_mask) { return __builtin_ffsll(__lane_mask) - 1; } // Conditional that is only true for a single thread in a lane. _DEFAULT_FN_ATTRS static __inline__ bool __gpu_is_first_in_lane(uint64_t __lane_mask) { return __gpu_lane_id() == __gpu_first_lane_id(__lane_mask); } // Copies the value from the first active thread to the rest. _DEFAULT_FN_ATTRS static __inline__ uint64_t __gpu_read_first_lane_u64(uint64_t __lane_mask, uint64_t __x) { uint32_t __hi = (uint32_t)(__x >> 32); uint32_t __lo = (uint32_t)(__x & 0xFFFFFFFF); return ((uint64_t)__gpu_read_first_lane_u32(__lane_mask, __hi) << 32) | ((uint64_t)__gpu_read_first_lane_u32(__lane_mask, __lo) & 0xFFFFFFFF); } // Gets the first floating point value from the active lanes. _DEFAULT_FN_ATTRS static __inline__ float __gpu_read_first_lane_f32(uint64_t __lane_mask, float __x) { return __builtin_bit_cast( float, __gpu_read_first_lane_u32(__lane_mask, __builtin_bit_cast(uint32_t, __x))); } // Gets the first floating point value from the active lanes. _DEFAULT_FN_ATTRS static __inline__ double __gpu_read_first_lane_f64(uint64_t __lane_mask, double __x) { return __builtin_bit_cast( double, __gpu_read_first_lane_u64(__lane_mask, __builtin_bit_cast(uint64_t, __x))); } // Shuffles the the lanes according to the given index. _DEFAULT_FN_ATTRS static __inline__ uint64_t __gpu_shuffle_idx_u64(uint64_t __lane_mask, uint32_t __idx, uint64_t __x, uint32_t __width) { uint32_t __hi = (uint32_t)(__x >> 32); uint32_t __lo = (uint32_t)(__x & 0xFFFFFFFF); uint32_t __mask = (uint32_t)__lane_mask; return ((uint64_t)__gpu_shuffle_idx_u32(__mask, __idx, __hi, __width) << 32) | ((uint64_t)__gpu_shuffle_idx_u32(__mask, __idx, __lo, __width)); } // Shuffles the the lanes according to the given index. _DEFAULT_FN_ATTRS static __inline__ float __gpu_shuffle_idx_f32(uint64_t __lane_mask, uint32_t __idx, float __x, uint32_t __width) { return __builtin_bit_cast( float, __gpu_shuffle_idx_u32(__lane_mask, __idx, __builtin_bit_cast(uint32_t, __x), __width)); } // Shuffles the the lanes according to the given index. _DEFAULT_FN_ATTRS static __inline__ double __gpu_shuffle_idx_f64(uint64_t __lane_mask, uint32_t __idx, double __x, uint32_t __width) { return __builtin_bit_cast( double, __gpu_shuffle_idx_u64(__lane_mask, __idx, __builtin_bit_cast(uint64_t, __x), __width)); } // Implements scan and reduction operations across a GPU warp or wavefront. // // Both scans work by iterating log2(N) steps. The bitmask tracks the currently // unprocessed lanes, above or below the current lane in the case of a suffix or // prefix scan. Each iteration we shuffle in the unprocessed neighbors and then // clear the bits that this operation handled. #define __DO_LANE_OPS(__type, __op, __identity, __prefix, __suffix) \ _DEFAULT_FN_ATTRS static __inline__ __type \ __gpu_suffix_scan_##__prefix##_##__suffix(uint64_t __lane_mask, \ __type __x) { \ uint64_t __above = __lane_mask & -(UINT64_C(2) << __gpu_lane_id()); \ for (uint32_t __step = 1; __step < __gpu_num_lanes(); __step *= 2) { \ uint32_t __src = __builtin_ctzg(__above, (int)sizeof(__above) * 8); \ __type __result = __gpu_shuffle_idx_##__suffix(__lane_mask, __src, __x, \ __gpu_num_lanes()); \ __x = __op(__x, __above ? __result : (__type)__identity); \ for (uint32_t __i = 0; __i < __step; ++__i) \ __above &= __above - 1; \ } \ return __x; \ } \ \ _DEFAULT_FN_ATTRS static __inline__ __type \ __gpu_prefix_scan_##__prefix##_##__suffix(uint64_t __lane_mask, \ __type __x) { \ uint64_t __below = __lane_mask & ((UINT64_C(1) << __gpu_lane_id()) - 1); \ for (uint32_t __step = 1; __step < __gpu_num_lanes(); __step *= 2) { \ uint32_t __src = 63 - __builtin_clzg(__below, (int)sizeof(__below) * 8); \ __type __result = __gpu_shuffle_idx_##__suffix(__lane_mask, __src, __x, \ __gpu_num_lanes()); \ __x = __op(__x, __below ? __result : (__type)__identity); \ for (uint32_t __i = 0; __i < __step; ++__i) \ __below ^= \ (UINT64_C(1) << (63 - __builtin_clzg(__below, 0))) & __below; \ } \ return __x; \ } \ \ _DEFAULT_FN_ATTRS static __inline__ __type \ __gpu_lane_##__prefix##_##__suffix(uint64_t __lane_mask, __type __x) { \ return __gpu_read_first_lane_##__suffix( \ __lane_mask, \ __gpu_suffix_scan_##__prefix##_##__suffix(__lane_mask, __x)); \ } #define __GPU_OP(__x, __y) ((__x) + (__y)) __DO_LANE_OPS(uint32_t, __GPU_OP, 0, add, u32); __DO_LANE_OPS(uint64_t, __GPU_OP, 0, add, u64); __DO_LANE_OPS(float, __GPU_OP, 0, add, f32); __DO_LANE_OPS(double, __GPU_OP, 0, add, f64); #undef __GPU_OP #define __GPU_OP(__x, __y) ((__x) & (__y)) __DO_LANE_OPS(uint32_t, __GPU_OP, UINT32_MAX, and, u32); __DO_LANE_OPS(uint64_t, __GPU_OP, UINT64_MAX, and, u64); #undef __GPU_OP #define __GPU_OP(__x, __y) ((__x) | (__y)) __DO_LANE_OPS(uint32_t, __GPU_OP, 0, or, u32); __DO_LANE_OPS(uint64_t, __GPU_OP, 0, or, u64); #undef __GPU_OP #define __GPU_OP(__x, __y) ((__x) ^ (__y)) __DO_LANE_OPS(uint32_t, __GPU_OP, 0, xor, u32); __DO_LANE_OPS(uint64_t, __GPU_OP, 0, xor, u64); #undef __GPU_OP #define __GPU_OP(__x, __y) ((__x) < (__y) ? (__x) : (__y)) __DO_LANE_OPS(uint32_t, __GPU_OP, UINT32_MAX, min, u32); __DO_LANE_OPS(uint64_t, __GPU_OP, UINT64_MAX, min, u64); #undef __GPU_OP #define __GPU_OP(__x, __y) ((__x) > (__y) ? (__x) : (__y)) __DO_LANE_OPS(uint32_t, __GPU_OP, 0, max, u32); __DO_LANE_OPS(uint64_t, __GPU_OP, 0, max, u64); #undef __GPU_OP #define __GPU_OP(__x, __y) __builtin_elementwise_minnum((__x), (__y)) __DO_LANE_OPS(float, __GPU_OP, __builtin_inff(), minnum, f32); __DO_LANE_OPS(double, __GPU_OP, __builtin_inf(), minnum, f64); #undef __GPU_OP #define __GPU_OP(__x, __y) __builtin_elementwise_maxnum((__x), (__y)) __DO_LANE_OPS(float, __GPU_OP, -__builtin_inff(), maxnum, f32); __DO_LANE_OPS(double, __GPU_OP, -__builtin_inf(), maxnum, f64); #undef __GPU_OP #undef __DO_LANE_OPS // Returns a bitmask marking all lanes that have the same value of __x. #ifndef __gpu_match_any_u32_impl _DEFAULT_FN_ATTRS static __inline__ uint64_t __gpu_match_any_u32(uint64_t __lane_mask, uint32_t __x) { uint64_t __match_mask = 0; bool __done = 0; for (uint64_t __active_mask = __lane_mask; __active_mask; __active_mask = __gpu_ballot(__lane_mask, !__done)) { if (!__done) { uint32_t __first = __gpu_shuffle_idx_u32( __active_mask, __builtin_ctzg(__active_mask), __x, __gpu_num_lanes()); uint64_t __ballot = __gpu_ballot(__active_mask, __first == __x); if (__first == __x) { __match_mask = __ballot; __done = 1; } } } return __match_mask; } #endif #undef __gpu_match_any_u32_impl // Returns a bitmask marking all lanes that have the same value of __x. #ifndef __gpu_match_any_u64_impl _DEFAULT_FN_ATTRS static __inline__ uint64_t __gpu_match_any_u64(uint64_t __lane_mask, uint64_t __x) { uint64_t __match_mask = 0; bool __done = 0; for (uint64_t __active_mask = __lane_mask; __active_mask; __active_mask = __gpu_ballot(__lane_mask, !__done)) { if (!__done) { uint64_t __first = __gpu_shuffle_idx_u64( __active_mask, __builtin_ctzg(__active_mask), __x, __gpu_num_lanes()); uint64_t __ballot = __gpu_ballot(__active_mask, __first == __x); if (__first == __x) { __match_mask = __ballot; __done = 1; } } } return __match_mask; } #endif #undef __gpu_match_any_u64_impl // Returns the current lane mask if every lane contains __x. #ifndef __gpu_match_all_u32_impl _DEFAULT_FN_ATTRS static __inline__ uint64_t __gpu_match_all_u32(uint64_t __lane_mask, uint32_t __x) { uint32_t __first = __gpu_shuffle_idx_u32( __lane_mask, __builtin_ctzg(__lane_mask), __x, __gpu_num_lanes()); uint64_t __ballot = __gpu_ballot(__lane_mask, __x == __first); return __ballot == __lane_mask ? __lane_mask : UINT64_C(0); } #endif #undef __gpu_match_all_u32_impl // Returns the current lane mask if every lane contains __x. #ifndef __gpu_match_all_u64_impl _DEFAULT_FN_ATTRS static __inline__ uint64_t __gpu_match_all_u64(uint64_t __lane_mask, uint64_t __x) { uint64_t __first = __gpu_shuffle_idx_u64( __lane_mask, __builtin_ctzg(__lane_mask), __x, __gpu_num_lanes()); uint64_t __ballot = __gpu_ballot(__lane_mask, __x == __first); return __ballot == __lane_mask ? __lane_mask : UINT64_C(0); } #endif #undef __gpu_match_all_u64_impl _Pragma("omp end declare variant"); _Pragma("omp end declare target"); #if !defined(__cplusplus) _Pragma("pop_macro(\"bool\")"); #endif #undef _DEFAULT_FN_ATTRS #endif // __GPUINTRIN_H