Lune

ASPLOS2026Top-tier venue

An MLIR Lowering Pipeline for Stencils at Wafer-Scale

Nicolai Stawinoga, David Katz, Anton Lydike, Justs Zarins, Nick Brown, George Bisbas, Tobias Grosser

2026Year

Abstract

The Cerebras Wafer-Scale Engine (WSE) delivers performance at an unprecedented scale of over 900,000 compute units, all connected via a single-wafer on-chip interconnect. Initially designed for AI, the WSE architecture is also well-suited for High Performance Computing (HPC). However, its distributed asynchronous programming model diverges significantly from the simple sequential or bulk-synchronous programs that one would typically derive for a given mathematical program description. Targeting the WSE requires a bespoke re-implementation when porting existing code. The absence of WSE support in compilers such as MLIR, meant that there was little hope for automating this process.

Ask about this paper

Your agent reads all of it.

Lune indexed this paper to the last equation, along with the top-tier papers that cite it. Ask a question and the answer quotes them.

Questions to start from

Your agent calls

Luneget_paper_fulltext

Ask in Lune

Free to start. No credit card required.

lune papers fulltext bd0eaf56-568b-42bd-83db-6231cb75b6cc

Builds on6

Related papers

Dusk over the sea between two cliffs drawn in fine vertical lines