/** * @file utils.cuh * @brief Low-level CUDA utility functions for memory operations and synchronization. * * This header provides optimized PTX assembly wrappers for memory operations * that bypass cache hierarchy or use specific memory ordering semantics. * These are critical for achieving peak bandwidth in multi-GPU communication. * * ## Memory Operation Types * * - **Non-allocating stores (st_na)**: Bypass L1 cache to avoid polluting it * with data that won't be reused locally * - **Non-caching loads (ld_nc)**: Bypass L1 cache for streaming reads * - **Acquire/Release**: Memory ordering for synchronization * - **System scope (sys)**: Visibility across all GPUs, not just this one * * ## Cache Hints * * - L1::no_allocate: Don't allocate in L1 on miss (streaming pattern) * - L2::256B: Use 256-byte L2 cache lines * - volatile: Bypass all caches, always go to memory */ #pragma once #include // ============================================================================= // PTX Instruction Selection // ============================================================================= /** * Store instruction macro. When DISABLE_AGGRESSIVE_PTX_INSTRS is not defined, * uses non-allocating stores to avoid polluting L1 cache with write-only data. */ #ifndef DISABLE_AGGRESSIVE_PTX_INSTRS #define ST_NA_FUNC "st.global.L1::no_allocate" #else #define ST_NA_FUNC "st.global" #endif /** * Load instruction macro. When DISABLE_AGGRESSIVE_PTX_INSTRS is not defined, * uses non-caching loads optimized for streaming access patterns. */ #ifndef DISABLE_AGGRESSIVE_PTX_INSTRS #define LD_NC_FUNC "ld.global.nc.L1::no_allocate.L2::256B" #else #define LD_NC_FUNC "ld.volatile.global.L2::256B" #endif namespace ltx_kernels { // ============================================================================= // Round-Robin SM Distribution Helpers // ============================================================================= /** * @brief Compute target rank for a given SM using round-robin distribution. * * Round-robin assignment ensures all SMs are utilized even when num_sms * is not evenly divisible by world_size. * * @param sm_id The SM/block ID (blockIdx.x) * @param world_size Total number of ranks * @return Target rank for this SM */ __device__ __forceinline__ int get_target_rank(int sm_id, int world_size) { return sm_id % world_size; } /** * @brief Compute local SM index within a rank's SM group. * * With round-robin, SM i is the (i / world_size)-th SM assigned to its rank. * * @param sm_id The SM/block ID (blockIdx.x) * @param world_size Total number of ranks * @return Local index of this SM within its assigned rank's group */ __device__ __forceinline__ int get_rank_local_sm_id(int sm_id, int world_size) { return sm_id / world_size; } /** * @brief Compute number of SMs assigned to a specific rank. * * With round-robin distribution: * - Ranks [0, extra) get (base + 1) SMs each * - Ranks [extra, world_size) get base SMs each * where base = num_sms / world_size, extra = num_sms % world_size * * @param target_rank The rank to query * @param num_sms Total number of SMs launched * @param world_size Total number of ranks * @return Number of SMs assigned to target_rank */ __device__ __forceinline__ int get_num_sms_for_rank(int target_rank, int num_sms, int world_size) { int base_sms = num_sms / world_size; int extra_sms = num_sms % world_size; return base_sms + (target_rank < extra_sms ? 1 : 0); } // ============================================================================= // Control Flow // ============================================================================= /** * @brief Triggers a GPU trap (fatal error). * * Used for unrecoverable errors like synchronization timeout. * Causes the kernel to abort and report an error to the host. */ __device__ __forceinline__ void trap() { asm("trap;"); } // ============================================================================= // Memory Ordering Operations (for synchronization) // ============================================================================= /** * @brief System-scope store with release ordering. * * Ensures all prior memory operations are visible before this store. * System scope means visibility across all GPUs (for IPC communication). * * @param ptr Pointer to global memory * @param val Value to store */ __device__ __forceinline__ void st_release_sys_global(const int *ptr, int val) { asm volatile("st.release.sys.global.s32 [%0], %1;" ::"l"(ptr), "r"(val) : "memory"); } /** * @brief System-scope store with relaxed ordering. * * No ordering guarantees - fastest store but requires external synchronization. * * @param ptr Pointer to global memory * @param val Value to store */ __device__ __forceinline__ void st_relaxed_sys_global(const int *ptr, int val) { asm volatile("st.relaxed.sys.global.s32 [%0], %1;" ::"l"(ptr), "r"(val) : "memory"); } /** * @brief CTA-scope store with release ordering. * * Ensures visibility within the thread block (CTA = Cooperative Thread Array). * * @param ptr Pointer to global memory * @param val Value to store */ __device__ __forceinline__ void st_release_cta(const int *ptr, int val) { asm volatile("st.release.cta.s32 [%0], %1;" ::"l"(ptr), "r"(val) : "memory"); } /** * @brief System-scope load with acquire ordering (32-bit). * * Ensures subsequent memory operations are ordered after this load. * System scope for IPC visibility across GPUs. * * @param ptr Pointer to global memory * @return Loaded value */ __device__ __forceinline__ int ld_acquire_sys_global(const int *ptr) { int ret; asm volatile("ld.acquire.sys.global.s32 %0, [%1];" : "=r"(ret) : "l"(ptr)); return ret; } /** * @brief System-scope load with acquire ordering (64-bit). * * @param ptr Pointer to global memory * @return Loaded value */ __device__ __forceinline__ uint64_t ld_acquire_sys_global(const uint64_t *ptr) { uint64_t ret; asm volatile("ld.acquire.sys.global.u64 %0, [%1];" : "=l"(ret) : "l"(ptr)); return ret; } /** * @brief GPU-scope load with acquire ordering. * * Visibility limited to this GPU (not for IPC). * * @param ptr Pointer to global memory * @return Loaded value */ __device__ __forceinline__ int ld_acquire_global(const int *ptr) { int ret; asm volatile("ld.acquire.gpu.global.s32 %0, [%1];" : "=r"(ret) : "l"(ptr)); return ret; } /** * @brief Volatile load bypassing all caches. * * Always reads from memory, never from cache. Used for polling * synchronization variables that may be updated by other GPUs. * * @param ptr Pointer to global memory * @return Loaded value */ __device__ __forceinline__ int ld_volatile_global(const int *ptr) { int ret; asm volatile("ld.volatile.global.s32 %0, [%1];" : "=r"(ret) : "l"(ptr)); return ret; } // ============================================================================= // Optimized Bulk Memory Operations // ============================================================================= /** * @brief Non-allocating 128-bit store. * * Stores an int4 (128 bits / 16 bytes) without allocating in L1 cache. * Optimal for write-streaming patterns where data won't be read locally. * * @param ptr Destination pointer (must be 16-byte aligned) * @param value Data to store */ __device__ __forceinline__ void st_na_global(const int4 *ptr, const int4 &value) { asm volatile(ST_NA_FUNC ".v4.s32 [%0], {%1, %2, %3, %4};" ::"l"(ptr), "r"(value.x), "r"(value.y), "r"(value.z), "r"(value.w)); } /** * @brief Non-caching 128-bit load. * * Loads an int4 bypassing L1 cache with optimized L2 caching (256B lines). * Optimal for read-streaming patterns. * * @param ptr Source pointer (must be 16-byte aligned) * @return Loaded int4 value */ __device__ __forceinline__ int4 ld_nc_global(const int4 *ptr) { int4 ret; asm volatile(LD_NC_FUNC ".v4.s32 {%0, %1, %2, %3}, [%4];" : "=r"(ret.x), "=r"(ret.y), "=r"(ret.z), "=r"(ret.w) : "l"(ptr)); return ret; } /** * @brief Barrier synchronization pattern for multi-GPU communication. * * This function implements a barrier synchronization protocol used in All2All * and AllGather operations. It signals completion to target ranks and waits * for all expected signals to arrive before resetting the barrier. * * Protocol: * 1. Thread 0 of each block signals completion to the target rank * 2. Block 0 waits for all ranks to signal (with timeout protection) * 3. Once all signals received, reset the barrier counters * * @param barrier_signal_ptrs Array of pointers to barrier signal buffers for each rank * @param target_rank The rank this block is sending data to * @param rank This GPU's rank * @param world_size Total number of GPUs/ranks * @param expected_count Number of signals expected (typically num_sms_per_rank) * @param sm_id The SM/block ID (blockIdx.x) * @param thread_id The thread ID within the block (threadIdx.x) * @param timeout_cycles Number of cycles to wait before timeout */ __device__ __forceinline__ void barrier_wait_and_reset(int **barrier_signal_ptrs, int target_rank, int rank, int world_size, int expected_count, int sm_id, int thread_id, uint64_t timeout_cycles) { // Release: fence so peers see our data writes, then sync before signaling. __threadfence_system(); __syncthreads(); // Thread 0 signals completion to target rank if (thread_id == 0) { atomicAdd_system(barrier_signal_ptrs[target_rank] + rank, 1); } // Synchronize before checking signals __syncthreads(); // Only block 0 waits for all signals and resets the barrier if (sm_id == 0 && thread_id < world_size) { auto start_time = clock64(); while (true) { // Acquire: seeing the signal guarantees the peer's data is visible. int recv_count = ld_acquire_sys_global(barrier_signal_ptrs[rank] + thread_id); if (recv_count == expected_count) { break; } if (clock64() - start_time >= timeout_cycles) { printf("All2All barrier timeout: rank=%d, waiting_for_source=%d, expected=%d, got=%d\n", rank, thread_id, expected_count, recv_count); trap(); } } // Reset barrier for next use atomicSub_system(barrier_signal_ptrs[rank] + thread_id, expected_count); } } /** * @brief Barrier synchronization for round-robin SM distribution. * * Similar to barrier_wait_and_reset, but handles the case where SMs are * distributed round-robin across ranks, resulting in different target ranks * receiving different numbers of signals. * * With round-robin: target ranks [0, extra) receive (base + 1) signals from * each source, and target ranks [extra, world_size) receive base signals * from each source. Note that ALL sources send the same count to a given * receiver - the count depends on the receiver's rank position. * * @param barrier_signal_ptrs Array of pointers to barrier signal buffers for each rank * @param target_rank The rank this block is sending data to * @param rank This GPU's rank * @param world_size Total number of GPUs/ranks * @param num_sms Total number of SMs launched (used to compute expected counts) * @param sm_id The SM/block ID (blockIdx.x) * @param thread_id The thread ID within the block (threadIdx.x) * @param timeout_cycles Number of cycles to wait before timeout */ __device__ __forceinline__ void barrier_wait_and_reset_roundrobin(int **barrier_signal_ptrs, int target_rank, int rank, int world_size, int num_sms, int sm_id, int thread_id, uint64_t timeout_cycles) { // Release: fence so peers see our data writes, then sync before signaling. __threadfence_system(); __syncthreads(); // Thread 0 signals completion to target rank if (thread_id == 0) { atomicAdd_system(barrier_signal_ptrs[target_rank] + rank, 1); } // Synchronize before checking signals __syncthreads(); // Only block 0 waits for all signals and resets the barrier // Each thread handles one source rank if (sm_id == 0 && thread_id < world_size) { // All sources send the same number of signals to THIS receiver. // The count depends on how many SMs target this rank (the receiver). int expected_from_each_source = get_num_sms_for_rank(rank, num_sms, world_size); auto start_time = clock64(); while (true) { // Acquire: seeing the signal guarantees the peer's data is visible. int recv_count = ld_acquire_sys_global(barrier_signal_ptrs[rank] + thread_id); if (recv_count == expected_from_each_source) { break; } if (clock64() - start_time >= timeout_cycles) { printf("All2All barrier timeout (roundrobin): rank=%d, waiting_for_source=%d, expected=%d, got=%d\n", rank, thread_id, expected_from_each_source, recv_count); trap(); } } // Reset barrier for next use atomicSub_system(barrier_signal_ptrs[rank] + thread_id, expected_from_each_source); } } } // namespace ltx_kernels