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Graph-theoretic Formulation of QUBO for Scalable Local Sear..:
, In:
2022 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW)
,
Yasudo, Ryota
;
Nakano, Koji
;
Ito, Yasuaki
... - p. 425-434 , 2022
Link:
https://doi.org/10.1109/IPDPSW55747.2022.00080
RT T1 <cTitle>2022 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW)</cTitle>: T1 <Title>Graph-theoretic Formulation of QUBO for Scalable Local Search on GPUs</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9835566&Exemplar=1&LAN=DE A1 Yasudo, Ryota A1 Nakano, Koji A1 Ito, Yasuaki A1 Kawamata, Yuya A1 Katsuki, Ryota A1 Ozaki, Shiro A1 Yazane, Takashi A1 Hamano, Kenichiro YR 2022 K1 Distributed processing K1 Annealing K1 Conferences K1 Graphics processing units K1 Search problems K1 Quantum annealing K1 Linear programming K1 quantum annealing K1 quadratic unconstrained binary optimization K1 GPGPU K1 independent set K1 induced subgraph SP 425 OP 434 LK http://dx.doi.org/https://doi.org/10.1109/IPDPSW55747.2022.00080 DO https://doi.org/10.1109/IPDPSW55747.2022.00080 SF ELIB - SuUB Bremen
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