-
DAES
-
Beschäftigte
-
Ehm. Mitarbeiter
Publications
IEEE/ACM International Symposium on Low Power Electronics and Design (ISLPED'23) DAEBI: A Tool for Data Flow and Architecture Explorations of Binary Neural Network Accelerators Mikail Yayla , Cecilia Latotzke [...] Automation and Test in Europe Conference (DATE'21), Best Paper Candidate 2020 Software-Based Memory Analysis Environments for In-Memory Wear-Leveling Christian Hakert, Kuan-Hsun Chen, Mikail Yayla , Georg [...] Katharina Morik, Rodion Novkin, Lukas Pfahler and Mikail Yayla CoRR abs/2002.00909 2019 Stack Usage Analysis for Efficient Wear Leveling in Non-Volatile Main Memory Systems Christian Hakert, Mikail Yayla …