A Coding Guide to NVIDIA’s Tile-Based GPU Programming: From cuTile and Triton Kernels to Flash Attention
if BACKEND == “triton”: @triton.jit def _vadd_kernel(a_ptr, b_ptr, c_ptr, n, BLOCK: tl.constexpr): pid = tl.program_id(0) offs = pid * BLOCK + tl.arange(0, BLOCK) mask = offs < n a = tl.load(a_ptr + offs, mask=mask) b = tl.load(b_ptr + offs, mask=mask) tl.store(c_ptr + offs, a + b, mask=mask) @triton.jit def _fused_gelu_kernel(x_ptr, w_ptr, b_ptr, o_ptr, n, BLOCK:…
