Search Results for author: Theo Drane

Found 2 papers, 1 papers with code

SEER: Super-Optimization Explorer for HLS using E-graph Rewriting with MLIR

no code implementations15 Aug 2023 Jianyi Cheng, Samuel Coward, Lorenzo Chelini, Rafael Barbalho, Theo Drane

We propose a super-optimization approach for HLS that automatically rewrites an arbitrary software program into efficient HLS code that can be used to generate an optimized hardware design.

Abstract Interpretation on E-Graphs

1 code implementation17 Mar 2022 Samuel Coward, George A. Constantinides, Theo Drane

Recent e-graph applications have typically considered concrete semantics of expressions, where the notion of equivalence stems from concrete interpretation of expressions.

Cannot find the paper you are looking for? You can Submit a new open access paper.