kernels/cuda: paged-attention kernel, dispatch, pinned host memory

CUDA layer for the paged-KV + swap work:
- csrc: new paged_attention.cu plus updates across attention/gemm/norm/
  activation/embedding/reduce kernels and common.cuh.
- xserv-kernels: new dispatch module and kernel-binding updates.
- xserv-cuda: cudaMallocHost/FreeHost bindings + PinnedBuffer (host swap
  pool backing) and offset-aware D2H/H2D copies used to move KV blocks
  between the GPU pool and pinned host memory.

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
This commit is contained in:
2026-05-28 19:58:36 +08:00
parent 3f1c3d429a
commit 4c3f914459
27 changed files with 581 additions and 32 deletions

View File

@@ -20,7 +20,7 @@ unsafe extern "C" {
}
// --- FFI: cuBLAS ---
type CublasHandle = *mut c_void;
pub type CublasHandle = *mut c_void;
#[allow(non_upper_case_globals)]
const CUBLAS_OP_N: i32 = 0;
@@ -100,6 +100,13 @@ where
})
}
/// Get the thread-local cuBLAS handle for use with dispatch module.
pub fn cublas_handle() -> CublasHandle {
CUBLAS_CTX.with(|cell| {
cell.borrow().handle
})
}
/// Matrix multiplication: C = A @ B
/// A: [M, K], B: [K, N], C: [M, N]
/// All tensors must be contiguous and on the same GPU.