Project

MetaDL

AI Lab for Metaprogramming in Deep Learning

AI Lab for Metaprogramming in Deep Learning

  • Duration:
  • Research Topics
    Other

MetaDL is a project funded by the BMBF in the field of "Artificial Intelligence". As part of the MetaDL project, we want to generate code for AI applications on a variety of accelerator-based systems based on the AnyDSL framework. Particularly interesting are systems with special instructions for deep learning such as the tensor cores on NVIDIA graphics processors (GPUs) or dedicated AI hardware such as Google's Tensor Processing Units (TPUs). The usefulness of the concepts developed is demonstrated by applications in bioinformatics (analysis of DNA sequences) and image synthesis (noise suppression).

Partners

  • Universität des Saarlandes (UdS: Konsortialleitung)
  • Deutsches Forschungszentrum für Künstliche Intelligenz (DFKI)
  • Johannes Gutenberg Universität Mainz (JGU)

Sponsors

BMBF - Federal Ministry of Education and Research

BMBF - Federal Ministry of Education and Research

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Publications about the project

Manuela Schuler, Richard Membarth, Philipp Slusallek

In: David Kaeli (editor). ACM Transactions on Architecture and Code Optimization (TACO) 20 Pages 1-25 ACM 10/2022.

To the publication
André Müller, Roland Leißa, Sebastian Hack, Richard Membarth,

In: Proceedings of the 36th ACM International Conference on Supercomputing (ICS). International Conference on Supercomputing (ICS-2022) June 27-30 Pages 20-1 ACM 6/2022.

To the publication
Arsène Pérard-Gayot, Roland Leißa, Sebastian Hack, Puya Amiri, Richard Membarth, Philipp Slusallek

In: Proceedings of the 2021 International Conference on Field Programmable Technology (ICFPT). International Conference on Field Programmable Technology (FPT-2021) December 6-10 Auckland New Zealand Pages 1-9 IEEE 12/2021.

To the publication

German Research Center for Artificial Intelligence
Deutsches Forschungszentrum für Künstliche Intelligenz