tile-ai / tilelang

# Tile Language
Documentation ·
Installation ·
Examples ·
Releases ·
Contributing ·
TileLang (Ascend 950)
Tile Language (**tile-lang**) is a concise domain-specific language designed to streamline the development of high-performance GPU/CPU/NPU kernels (e.g., GEMM, Dequant GEMM, FlashAttention, LinearAttention). By employing a Pythonic syntax with an underlying compiler infrastructure on top of TVM, tile-lang allows developers to focus on productivity without sacrificing the low-level optimizations necessary for state-of-the-art performance.
## Latest News
- **2026-09-30 — Ascend 950 backend:** TileLang now officially supports Huawei Ascend 950 NPUs with native code generation, automatic scheduling and synchronization, SIMD/SIMT vector programming, etc. Explore the Ascend examples for GEMM, FlashAttention, and more.
- **2026-08-04 — TileLang LSP open sourced:** published a Language Server Protocol implementation for TileLang with inlay hints for buffer shapes, dtypes, scopes, and inferred layouts, plus hover details and precise diagnostics.
- **2026-08-03 — TileLang v0.1.13:** shipped the multi-backend language dialect, source locations in compiler diagnostics, new CUDA and Metal hardware paths, and a broad set of correctness fixes. This release removes several legacy APIs; read the compatibility notes before upgrading.
- **2026-07-30 — SM120 NVF4 block-scaled MMA:** added an optimized Blackwell path for `T.mma_gemm_blockscaled` and a corresponding SM120 example.
- **2026-07-28 — Metal 4 cooperative-tensor GEMM:** added cooperative-tensor `T.gemm` support for Apple M5, while retaining the simdgroup fallback for unsupported shapes and systems.
 Earlier news (2025–2026) 
### 2026
- **2026-07-28 — Source-aware compiler diagnostics:** carried Python source locations into TIRX and surfaced them in compiler errors.
- **2026-07-24 — Multi-backend language dialect:** reorganized the language layer around shared semantics with static CUDA, ROCm, and Metal dialects.
- **2026-07-23 — Block-causal attention for dLLM:** added fixed-length and variable-length block-causal attention examples for diffusion language models.
- **2026-07-22 — IR Lower Trace:** introduced a debugging tool for inspecting IR changes across every compiler pass and the final code-generation step.
- **2026-07-22 — DeepSeek V3.2 sparse MLA backward:** selected the launch width adaptively from the head-block size.
- **2026-07-21 — DeepSeek V3.2 top-k optimization:** improved the sparse-attention top-k selector's memory access pattern, delivering approximately 1.9× higher performance in the reported benchmark.
- **2026-07-16 — Compiler pass timing:** added profiling for compiler passes with a configurable reporting threshold.
- **2026-07-12 — IKET profiler integration:** added CUDA timeline instrumentation and profiling support.
- **2026-07-08 — TileLang v0.1.12:** added the LLVM backend, tile scheduler, backend registry, pass visualizer, and expanded Blackwell support.
- **2026-07-06 — Pas