DAEBI: A Tool for Data Flow and Architecture Explorations of Binary Neural Network Accelerators

Lecture notes in computer science, pp. 107–122

Authors 5

1. Mikail Yayla corresponding

   TU Dortmund University · Lamarr Institute for Machine Learning and Artificial Intelligence

   Affiliation as printed

   Lamarr Institute for Machine Learning and Artificial Intelligence, Dortmund, Germany

   Technical University of Dortmund, Dortmund, Germany

2. Cecilia Latotzke Aachen

   RWTH Aachen University

   Affiliation as printed

   RWTH Aachen University, Aachen, Germany

3. Somar Iskif

   TU Dortmund University

   Affiliation as printed

   Technical University of Dortmund, Dortmund, Germany

4. Tobias Gemmeke Aachen

   RWTH Aachen University

   Affiliation as printed

   RWTH Aachen University, Aachen, Germany

5. Jian-Jia Chen

   TU Dortmund University · Lamarr Institute for Machine Learning and Artificial Intelligence

   Affiliation as printed

   Lamarr Institute for Machine Learning and Artificial Intelligence, Dortmund, Germany

   Technical University of Dortmund, Dortmund, Germany