1 citations · 1 across the 3 of their papers we have counts for
3 papers
Towards a high-performance AI compiler with upstream MLIR
Renato Golin, Lorenzo Chelini, Adam Siemieniuk +5
This work proposes a compilation flow using open-source compiler passes to build a framework to achieve ninja performance from a generic linear algebra high-level abstraction. We d…
SEER: Super-Optimization Explorer for HLS using E-graph Rewriting with MLIR
Jianyi Cheng, Samuel Coward, Lorenzo Chelini +2
High-level synthesis (HLS) is a process that automatically translates a software program in a high-level language into a low-level hardware description. However, the hardware desig…
MOM: Matrix Operations in MLIR
Lorenzo Chelini, Henrik Barthels, Paolo Bientinesi +3
Modern research in code generators for dense linear algebra computations has shown the ability to produce optimized code with a performance which compares and often exceeds the one…