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@INPROCEEDINGS{Hizzani:1028722,
author = {Hizzani, Mohammad and Heittmann, Arne and Hutchinson,
George and Dobrynin, Dmitri and Van Vaerenbergh, Thomas and
Bhattacharya, Tinish and Renaudineau, Adrien and Strukov,
Dmitri and Strachan, John Paul},
title = {{M}emristor-based hardware and algorithms for higher-order
{H}opfield optimization solver outperforming quadratic
{I}sing machines},
publisher = {IEEE},
reportid = {FZJ-2024-04779},
isbn = {979-8-3503-3099-1},
pages = {1-5},
year = {2024},
abstract = {Ising solvers offer a promising physics-based approach to
tackle the challenging class of combinatorial optimization
problems. However, typical solvers operate in a quadratic
energy space, having only pair-wise coupling elements which
already dominate area and energy. We show that such
quadratization can cause severe problems: increased
dimensionality, a rugged search landscape, and misalignment
with the original objective function. Here, we design and
quantify a higher-order Hopfield optimization solver, with
28nm CMOS technology and memristive couplings for lower area
and energy computations. We combine algorithmic and circuit
analysis to show quantitative advantages over quadratic
Ising Machines (IM)s, yielding 48x and 72x reduction in
time-to-solution (TTS) and energy-to-solution (ETS)
respectively for Boolean satisfiability problems of 150
variables, with favorable scaling.},
month = {May},
date = {2024-05-19},
organization = {2024 IEEE International Symposium on
Circuits and Systems (ISCAS), Singapore
(Singapore), 19 May 2024 - 22 May 2024},
cin = {PGI-14},
cid = {I:(DE-Juel1)PGI-14-20210412},
pnm = {5234 - Emerging NC Architectures (POF4-523) / 5233 -
Memristive Materials and Devices (POF4-523) / 5232 -
Computational Principles (POF4-523)},
pid = {G:(DE-HGF)POF4-5234 / G:(DE-HGF)POF4-5233 /
G:(DE-HGF)POF4-5232},
typ = {PUB:(DE-HGF)8 / PUB:(DE-HGF)7},
UT = {WOS:001268541104029},
doi = {10.1109/ISCAS58744.2024.10558658},
url = {https://juser.fz-juelich.de/record/1028722},
}