A Novel DRAM-Based Process-in-Memory Architecture and its Implementation for CNNs

Author:

Sudarshan Chirag1,Soliman Taha2,De la Parra Cecilia2,Weis Christian1,Ecco Leonardo2,Jung Matthias3,Wehn Norbert1,Guntoro Andre2

Affiliation:

1. Microelectronic Systems Design, Research Group, TU Kaiserslautern, Kaiserslautern, Germany

2. Robert Bosch GmbH - Corporate Research (CR/ADT2), Stuttgart, Germany

3. Fraunhofer Institute for Experimental, Software Engineering (IESE), Kaiserslautern, Germany

Funder

Horizon 2020 Framework Programme

Publisher

ACM

Reference31 articles.

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2. Eyeriss

3. Y. Chen et al. 2019. Eyeriss v2: A Flexible Accelerator for Emerging Deep Neural Networks on Mobile Devices. IEEE Journal on Emerging and Selected Topics in Circuits and Systems (2019). Y. Chen et al. 2019. Eyeriss v2: A Flexible Accelerator for Emerging Deep Neural Networks on Mobile Devices. IEEE Journal on Emerging and Selected Topics in Circuits and Systems (2019).

4. Jeongdong Choe. 2017. Samsung 18 nm DRAM cell integration: QPT and higher uniformed capacitor high-k dielectrics. https://www.techinsights.com/blog/samsung-18-nm-dram-cell-integration-qpt-and-higher-uniformed-capacitor-high-k-dielectrics Jeongdong Choe. 2017. Samsung 18 nm DRAM cell integration: QPT and higher uniformed capacitor high-k dielectrics. https://www.techinsights.com/blog/samsung-18-nm-dram-cell-integration-qpt-and-higher-uniformed-capacitor-high-k-dielectrics

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