Diverse Adaptive Bulk Search: a Framework for Solving QUBO Problems on Multiple GPUs-Reference-Cited by-同舟云学术

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Diverse Adaptive Bulk Search: a Framework for Solving QUBO Problems on Multiple GPUs

Published:2023-05 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW)
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Author:

Nakano Koji¹,Takafuji Daisuke¹,Ito Yasuaki¹,Yazane Takashi²,Yano Junko²,Ozaki Shiro²,Katsuki Ryota²,Mori Rie²

Affiliation:

1. Hiroshima University Kagamiyama 1-4-1,Graduate School of Advanced Science and Engineering,Higashihiroshima,Japan,739-8527

2. NTT DATA Corporation Toyosu Center Bldg, Annex, 3-9, Toyosu 3-chome, Koto-ku,Research and Development Headquarters,Tokyo,Japan,135-8671

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10196463/10196505/10196536.pdf?arnumber=10196536

Reference37 articles.

1. High‐throughput FPGA implementation for quadratic unconstrained binary optimization

2. Combinatorial optimization by simulating adiabatic bifurcations in nonlinear Hamiltonian systems

3. STATICA: A 512-spin 0.25m-weight annealing processor with an all-spin-updates-at-once architecture for combinatorial optimization with complete spin–spin interactions;yamamoto;IEEE Journal of Solid-State Circuits,2021

4. Binary optimization by momentum annealing

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1. Generating hard quadratic unconstrained binary optimization instances via the method of combining bit reduction and duplication technique;International Journal of Parallel, Emergent and Distributed Systems;2024-07-09

2. Comparing QUBO models for quantum annealing: integer encodings for permutation problems;International Transactions in Operational Research;2024-04-30

3. Comparing Integer Encodings in QUBO for Quantum and Digital Annealing: The Travelling Salesman Problem;Lecture Notes in Computer Science;2024

4. Solving the N-Queens Puzzle by a QUBO Model with Quadratic Size;2023 Eleventh International Symposium on Computing and Networking (CANDAR);2023-11-28

5. Bit duplication technique to generate hard quadratic unconstrained binary optimization problems with adjustable sizes;Concurrency and Computation: Practice and Experience;2023-11-20

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