A Weighted Current Summation Based Mixed Signal DRAM-PIM Architecture for Deep Neural Network Inference

Author:

Sudarshan Chirag1ORCID,Soliman Taha2,Lappas Jan1,Weis Christian1ORCID,Sadi Mohammad Hassani1,Jung Matthias3ORCID,Guntoro Andre2ORCID,Wehn Norbert1ORCID

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

German Ministry of Education and Research

Carl-Zeiss-Stiftung

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. CDAR-DRAM: Enabling Runtime DRAM Performance and Energy Optimization via In-Situ Charge Detection and Adaptive Data Restoration;IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems;2023-09

2. Cache Register Sharing Structure for Channel-level Near-memory Processing in NAND Flash Memory;2023 24th International Symposium on Quality Electronic Design (ISQED);2023-04-05

3. FeFET versus DRAM based PIM Architectures: A Comparative Study;2022 IFIP/IEEE 30th International Conference on Very Large Scale Integration (VLSI-SoC);2022-10-03

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