tt-lang

What problem does it solve?

TT-Lang solves the challenge of writing low-level TT hardware kernels by providing a Python-based DSL that exposes explicit data movement and tile-level compute primitives.

Core Features & Use Cases

• Explicit kernel structure and dataflow buffers for fine-grained control over TT hardware.
• Support for grid, blocks, pipes, and streaming patterns to fuse workloads like matmul, softmax, and attention.
• Use cases include rapid prototyping of ML kernels on TT hardware and deployment to real hardware or simulators.

Quick Start

Create a tiny kernel with ttl.kernel and ttl.compute and run it on the functional simulator to verify core TT-Lang syntax.