Search Results for author: Iulia-Alexandra Lungu

Found 2 papers, 0 papers with code

NullHop: A Flexible Convolutional Neural Network Accelerator Based on Sparse Representations of Feature Maps

no code implementations5 Jun 2017 Alessandro Aimar, Hesham Mostafa, Enrico Calabrese, Antonio Rios-Navarro, Ricardo Tapiador-Morales, Iulia-Alexandra Lungu, Moritz B. Milde, Federico Corradi, Alejandro Linares-Barranco, Shih-Chii Liu, Tobi Delbruck

By exploiting sparsity, NullHop achieves an efficiency of 368%, maintains over 98% utilization of the MAC units, and achieves a power efficiency of over 3TOp/s/W in a core area of 6. 3mm$^2$.

Theory and Tools for the Conversion of Analog to Spiking Convolutional Neural Networks

no code implementations13 Dec 2016 Bodo Rueckauer, Iulia-Alexandra Lungu, Yuhuang Hu, Michael Pfeiffer

Deep convolutional neural networks (CNNs) have shown great potential for numerous real-world machine learning applications, but performing inference in large CNNs in real-time remains a challenge.

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