mlirSynth: Automatic, Retargetable Program Raising in Multi-Level IR using Program Synthesis

no code implementations • 6 Oct 2023 • Alexander Brauckmann, Elizabeth Polgreen, Tobias Grosser, Michael F. P. O'Boyle

MLIR is an emerging compiler infrastructure for modern hardware, but existing programs cannot take advantage of MLIR's high-performance compilation if they are described in lower-level general purpose languages.

Program Synthesis

Extracting Clean Performance Models from Tainted Programs

2 code implementations • 31 Dec 2020 • Marcin Copik, Alexandru Calotoiu, Tobias Grosser, Nicolas Wicki, Felix Wolf, Torsten Hoefler

Performance models are well-known instruments to understand the scaling behavior of parallel applications.

Distributed, Parallel, and Cluster Computing Performance

LLHD: A Multi-level Intermediate Representation for Hardware Description Languages

1 code implementation • 7 Apr 2020 • Fabian Schuiki, Andreas Kurth, Tobias Grosser, Luca Benini

These tools are monolithic and mostly proprietary, disagree in their implementation of HDLs, and while many redundant IRs exists, no IR today can be used through the entire circuit design flow.

Programming Languages

Compiling Neural Networks for a Computational Memory Accelerator

1 code implementation • 5 Mar 2020 • Kornilios Kourtis, Martino Dazzi, Nikolas Ioannou, Tobias Grosser, Abu Sebastian, Evangelos Eleftheriou

Computational memory (CM) is a promising approach for accelerating inference on neural networks (NN) by using enhanced memories that, in addition to storing data, allow computations on them.