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@INPROCEEDINGS{Zhao:1038834,
author = {Zhao, Wei and Kuriakose, Neethu and Kusuma, Sabitha and
Ammari, Abdelaziz and Ashok, Arun and Grewing, Christian and
Zambanini, André and Van Waasen, Stefan},
title = {{O}n-{C}hip {A}dvanced {C}ontrol {A}lgorithm for
{M}emristor {O}perations with {I}ntegrated {RISC}-{V}
{C}ore},
address = {Nancy},
publisher = {IEEE},
reportid = {FZJ-2025-01656},
isbn = {979-8-3503-7720-0},
pages = {1-4},
year = {2024},
comment = {2024 31st IEEE International Conference on Electronics,
Circuits and Systems (ICECS) : [Proceedings] - IEEE, 2024. -
ISBN 979-8-3503-7720-0 -
doi:10.1109/ICECS61496.2024.10848936},
booktitle = {2024 31st IEEE International
Conference on Electronics, Circuits and
Systems (ICECS) : [Proceedings] - IEEE,
2024. - ISBN 979-8-3503-7720-0 -
doi:10.1109/ICECS61496.2024.10848936},
abstract = {Advancements in memory technology havepositioned memristors
at the forefront of non-volatile memoryapplications,
necessitating precise control mechanisms toaccurately
program memristor cells to their respective states.This
study delves into the utilization of a RISC-V processor
andPWM generators to configure registers for analog
conductancecontrol of crossbar memristor array architecture
for accuratevoltage and current mode operations. The core
contribution isthe development of a flexible and efficient
control algorithmspecifically designed for RISC-V. A
Universal VerificationMethodology Framework (UVMF) testbench
is employedto validate control signals, ensuring their
accuracy priorto hardware implementation. Results indicate
significantenhancements in control efficiency, underlining
the potential forintegrating RISC-V with memristor
technology.},
month = {Nov},
date = {2024-11-18},
organization = {31st IEEE International Conference on
Electronics, Circuits and Systems
(ICECS), Nancy (France), 18 Nov 2024 -
20 Nov 2024},
cin = {PGI-4 / ZEA-2},
cid = {I:(DE-Juel1)PGI-4-20110106 / I:(DE-Juel1)ZEA-2-20090406},
pnm = {5234 - Emerging NC Architectures (POF4-523) / BMBF
16ME0398K - Verbundprojekt: Neuro-inspirierte Technologien
der künstlichen Intelligenz für die Elektronik der Zukunft
- NEUROTEC II - (BMBF-16ME0398K)},
pid = {G:(DE-HGF)POF4-5234 / G:(DE-82)BMBF-16ME0398K},
typ = {PUB:(DE-HGF)8 / PUB:(DE-HGF)7},
UT = {WOS:001445799800106},
doi = {10.1109/ICECS61496.2024.10848936},
url = {https://juser.fz-juelich.de/record/1038834},
}