// SPDX-FileCopyrightText: Copyright (c) 2024-2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved. // SPDX-License-Identifier: Apache-2.0 //! CUDA pinned host memory storage. use super::{MemoryDescriptor, Result, StorageError, StorageKind, actions, nixl::NixlDescriptor}; use cudarc::driver::CudaContext; use cudarc::driver::sys; use std::any::Any; use std::sync::Arc; /// CUDA pinned host memory allocated via cudaHostAlloc. #[derive(Debug)] pub struct PinnedStorage { /// Host pointer to the pinned memory. ptr: usize, /// Size of the allocation in bytes. len: usize, /// CUDA context used for allocation and deallocation. ctx: Arc, } unsafe impl Send for PinnedStorage {} unsafe impl Sync for PinnedStorage {} impl PinnedStorage { /// Allocate new pinned memory of the given size. /// /// This is a convenience method that calls `new_for_device(len, None)`. /// /// # Arguments /// * `len` - Size in bytes to allocate pub fn new(len: usize) -> Result { Self::new_for_device(len, None) } /// Allocate pinned memory, optionally NUMA-aware for a specific GPU. /// /// When `device_id` is `Some`, NUMA-aware allocation is attempted by default: /// a worker thread pinned to the GPU's NUMA node performs the allocation, /// ensuring optimal memory placement via first-touch policy. If the GPU's /// NUMA node cannot be determined, allocation falls back to the direct path. /// Set `DYN_MEMORY_DISABLE_NUMA=1` to skip NUMA optimization entirely. /// /// When `device_id` is `None`, a direct allocation is performed on device 0. /// /// # Arguments /// * `len` - Size in bytes to allocate /// * `device_id` - If Some, use NUMA-aware allocation on the GPU's NUMA node /// /// # Errors /// Returns an error if: /// - `len` is 0 /// - CUDA context creation fails /// - Memory allocation fails pub fn new_for_device(len: usize, device_id: Option) -> Result { if len == 0 { return Err(StorageError::AllocationFailed( "zero-sized allocations are not supported".into(), )); } let gpu_id = device_id.unwrap_or(0); let ctx = crate::device::cuda_context(gpu_id)?; // Try NUMA-aware allocation unless explicitly disabled #[cfg(target_os = "linux")] let numa_ptr = if let Some(gpu_id) = device_id { if !super::numa::is_numa_disabled() { match super::numa::worker_pool::NumaWorkerPool::global() .allocate_pinned_for_gpu(len, gpu_id) { Ok(Some(ptr)) => { tracing::debug!( "Using NUMA-aware allocation for {} bytes on GPU {}", len, gpu_id ); Some(ptr as usize) } Ok(None) => None, // NUMA node unknown, fall through Err(e) => return Err(StorageError::AllocationFailed(e)), } } else { None } } else { None }; #[cfg(not(target_os = "linux"))] let numa_ptr: Option = None; let ptr = if let Some(ptr) = numa_ptr { ptr } else { unsafe { ctx.bind_to_thread().map_err(StorageError::Cuda)?; let ptr = cudarc::driver::result::malloc_host(len, sys::CU_MEMHOSTALLOC_DEVICEMAP) .map_err(StorageError::Cuda)?; let ptr = ptr as *mut u8; assert!(!ptr.is_null(), "Failed to allocate pinned memory"); assert!(ptr.is_aligned(), "Pinned memory is not aligned"); assert!(len < isize::MAX as usize); ptr as usize } }; Ok(Self { ptr, len, ctx }) } /// Get a pointer to the underlying memory. /// /// # Safety /// The caller must ensure the pointer is not used after this storage is dropped. pub unsafe fn as_ptr(&self) -> *const u8 { self.ptr as *const u8 } /// Get a mutable pointer to the underlying memory. /// /// # Safety /// The caller must ensure the pointer is not used after this storage is dropped /// and that there are no other references to this memory. pub unsafe fn as_mut_ptr(&mut self) -> *mut u8 { self.ptr as *mut u8 } } impl Drop for PinnedStorage { fn drop(&mut self) { if let Err(e) = self.ctx.bind_to_thread() { tracing::debug!("failed to bind CUDA context for free: {e}"); } unsafe { if let Err(e) = cudarc::driver::result::free_host(self.ptr as _) { tracing::debug!("failed to free pinned memory: {e}"); } }; } } impl MemoryDescriptor for PinnedStorage { fn addr(&self) -> usize { unsafe { self.as_ptr() as usize } } fn size(&self) -> usize { self.len } fn storage_kind(&self) -> StorageKind { StorageKind::Pinned } fn as_any(&self) -> &dyn Any { self } fn nixl_descriptor(&self) -> Option { None } } // Support for NIXL registration impl super::nixl::NixlCompatible for PinnedStorage { fn nixl_params(&self) -> (*const u8, usize, nixl_sys::MemType, u64) { let ptr = unsafe { self.as_ptr() }; (ptr, self.len, nixl_sys::MemType::Dram, 0) } } impl actions::Memset for PinnedStorage { fn memset(&mut self, value: u8, offset: usize, size: usize) -> Result<()> { let end = offset .checked_add(size) .ok_or_else(|| StorageError::OperationFailed("memset: offset overflow".into()))?; if end > self.len { return Err(StorageError::OperationFailed( "memset: offset + size > storage size".into(), )); } unsafe { let ptr = (self.ptr as *mut u8).add(offset); std::ptr::write_bytes(ptr, value, size); } Ok(()) } }