In‐Materia Annealing and Combinatorial Optimization Based on Vertical Memristive Array

Autores
Lee, Soo Hyung; Cheong, Sunwoo; Cho, Jea Min; Ghenzi, Néstor; Shin, Dong Hoon; Jang, Yoon Ho; Han, Janguk; Park, Tae Won; Kim, Dong Yun; Shim, Sung Keun; Han, Joon Kyu; Kim, Seung Soo; Hwang, Cheol Seong
Año de publicación
2024
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Due to its area and energy efficiency, a memristive crossbar array (CBA) has been extensively studied for various combinatorial optimization applications, from network problems to circuit design. However, conventional approaches include heavily burdening software fine-tuning for the annealing process. Instead, this study introduces the “in-materia annealing” method, where the inter-layer interference of vertically stacked memristive CBA is utilized as an annealing method. When mapping combinatorial optimization problems into the configuration layer of the CBA, exponentially decaying annealing profiles are generated in nearby noise layers. Moreover, in-materia annealing profiles can be controlled by changing compliance current, read voltage, and read pulse width. Therefore, the annealing profiles can be arbitrarily controlled and generated individually for each cell, providing rich noise sources to solve the problem efficiently. Consequently, the experimental and simulation of Max-Cut and weighted Max-Cut problems achieve notable results with the minimum software burden.
Fil: Lee, Soo Hyung. Seoul National University; Corea del Sur
Fil: Cheong, Sunwoo. Seoul National University; Corea del Sur
Fil: Cho, Jea Min. Seoul National University; Corea del Sur
Fil: Ghenzi, Néstor. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Avellaneda. Departamento de Prod. y Trabajo; Argentina. Seoul National University; Corea del Sur
Fil: Shin, Dong Hoon. Seoul National University; Corea del Sur
Fil: Jang, Yoon Ho. Seoul National University; Corea del Sur
Fil: Han, Janguk. Seoul National University; Corea del Sur
Fil: Park, Tae Won. Seoul National University; Corea del Sur
Fil: Kim, Dong Yun. Seoul National University; Corea del Sur
Fil: Shim, Sung Keun. Seoul National University; Corea del Sur
Fil: Han, Joon Kyu. Sogang University; Corea del Sur
Fil: Kim, Seung Soo. Seoul National University; Corea del Sur
Fil: Hwang, Cheol Seong. Seoul National University; Corea del Sur
Materia
Memristor
Graph
Iising
Synapse
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/267679
Acceder
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network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling In‐Materia Annealing and Combinatorial Optimization Based on Vertical Memristive ArrayLee, Soo HyungCheong, SunwooCho, Jea MinGhenzi, NéstorShin, Dong HoonJang, Yoon HoHan, JangukPark, Tae WonKim, Dong YunShim, Sung KeunHan, Joon KyuKim, Seung SooHwang, Cheol SeongMemristorGraphIisingSynapsehttps://purl.org/becyt/ford/1.3https://purl.org/becyt/ford/1Due to its area and energy efficiency, a memristive crossbar array (CBA) has been extensively studied for various combinatorial optimization applications, from network problems to circuit design. However, conventional approaches include heavily burdening software fine-tuning for the annealing process. Instead, this study introduces the “in-materia annealing” method, where the inter-layer interference of vertically stacked memristive CBA is utilized as an annealing method. When mapping combinatorial optimization problems into the configuration layer of the CBA, exponentially decaying annealing profiles are generated in nearby noise layers. Moreover, in-materia annealing profiles can be controlled by changing compliance current, read voltage, and read pulse width. Therefore, the annealing profiles can be arbitrarily controlled and generated individually for each cell, providing rich noise sources to solve the problem efficiently. Consequently, the experimental and simulation of Max-Cut and weighted Max-Cut problems achieve notable results with the minimum software burden.Fil: Lee, Soo Hyung. Seoul National University; Corea del SurFil: Cheong, Sunwoo. Seoul National University; Corea del SurFil: Cho, Jea Min. Seoul National University; Corea del SurFil: Ghenzi, Néstor. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Avellaneda. Departamento de Prod. y Trabajo; Argentina. Seoul National University; Corea del SurFil: Shin, Dong Hoon. Seoul National University; Corea del SurFil: Jang, Yoon Ho. Seoul National University; Corea del SurFil: Han, Janguk. Seoul National University; Corea del SurFil: Park, Tae Won. Seoul National University; Corea del SurFil: Kim, Dong Yun. Seoul National University; Corea del SurFil: Shim, Sung Keun. Seoul National University; Corea del SurFil: Han, Joon Kyu. Sogang University; Corea del SurFil: Kim, Seung Soo. Seoul National University; Corea del SurFil: Hwang, Cheol Seong. Seoul National University; Corea del SurWiley VCH Verlag2024-08info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/267679Lee, Soo Hyung; Cheong, Sunwoo; Cho, Jea Min; Ghenzi, Néstor; Shin, Dong Hoon; et al.; In‐Materia Annealing and Combinatorial Optimization Based on Vertical Memristive Array; Wiley VCH Verlag; Advanced Materials; 36; 40; 8-2024; 1-120935-9648CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://onlinelibrary.wiley.com/doi/10.1002/adma.202410191info:eu-repo/semantics/altIdentifier/doi/10.1002/adma.202410191info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-nd/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-15T14:53:34Zoai:ri.conicet.gov.ar:11336/267679instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-10-15 14:53:35.253CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv In‐Materia Annealing and Combinatorial Optimization Based on Vertical Memristive Array
title In‐Materia Annealing and Combinatorial Optimization Based on Vertical Memristive Array
spellingShingle In‐Materia Annealing and Combinatorial Optimization Based on Vertical Memristive Array
Lee, Soo Hyung
Memristor
Graph
Iising
Synapse
title_short In‐Materia Annealing and Combinatorial Optimization Based on Vertical Memristive Array
title_full In‐Materia Annealing and Combinatorial Optimization Based on Vertical Memristive Array
title_fullStr In‐Materia Annealing and Combinatorial Optimization Based on Vertical Memristive Array
title_full_unstemmed In‐Materia Annealing and Combinatorial Optimization Based on Vertical Memristive Array
title_sort In‐Materia Annealing and Combinatorial Optimization Based on Vertical Memristive Array
dc.creator.none.fl_str_mv Lee, Soo Hyung
Cheong, Sunwoo
Cho, Jea Min
Ghenzi, Néstor
Shin, Dong Hoon
Jang, Yoon Ho
Han, Janguk
Park, Tae Won
Kim, Dong Yun
Shim, Sung Keun
Han, Joon Kyu
Kim, Seung Soo
Hwang, Cheol Seong
author Lee, Soo Hyung
author_facet Lee, Soo Hyung
Cheong, Sunwoo
Cho, Jea Min
Ghenzi, Néstor
Shin, Dong Hoon
Jang, Yoon Ho
Han, Janguk
Park, Tae Won
Kim, Dong Yun
Shim, Sung Keun
Han, Joon Kyu
Kim, Seung Soo
Hwang, Cheol Seong
author_role author
author2 Cheong, Sunwoo
Cho, Jea Min
Ghenzi, Néstor
Shin, Dong Hoon
Jang, Yoon Ho
Han, Janguk
Park, Tae Won
Kim, Dong Yun
Shim, Sung Keun
Han, Joon Kyu
Kim, Seung Soo
Hwang, Cheol Seong
author2_role author
author
author
author
author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv Memristor
Graph
Iising
Synapse
topic Memristor
Graph
Iising
Synapse
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.3
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv Due to its area and energy efficiency, a memristive crossbar array (CBA) has been extensively studied for various combinatorial optimization applications, from network problems to circuit design. However, conventional approaches include heavily burdening software fine-tuning for the annealing process. Instead, this study introduces the “in-materia annealing” method, where the inter-layer interference of vertically stacked memristive CBA is utilized as an annealing method. When mapping combinatorial optimization problems into the configuration layer of the CBA, exponentially decaying annealing profiles are generated in nearby noise layers. Moreover, in-materia annealing profiles can be controlled by changing compliance current, read voltage, and read pulse width. Therefore, the annealing profiles can be arbitrarily controlled and generated individually for each cell, providing rich noise sources to solve the problem efficiently. Consequently, the experimental and simulation of Max-Cut and weighted Max-Cut problems achieve notable results with the minimum software burden.
Fil: Lee, Soo Hyung. Seoul National University; Corea del Sur
Fil: Cheong, Sunwoo. Seoul National University; Corea del Sur
Fil: Cho, Jea Min. Seoul National University; Corea del Sur
Fil: Ghenzi, Néstor. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Avellaneda. Departamento de Prod. y Trabajo; Argentina. Seoul National University; Corea del Sur
Fil: Shin, Dong Hoon. Seoul National University; Corea del Sur
Fil: Jang, Yoon Ho. Seoul National University; Corea del Sur
Fil: Han, Janguk. Seoul National University; Corea del Sur
Fil: Park, Tae Won. Seoul National University; Corea del Sur
Fil: Kim, Dong Yun. Seoul National University; Corea del Sur
Fil: Shim, Sung Keun. Seoul National University; Corea del Sur
Fil: Han, Joon Kyu. Sogang University; Corea del Sur
Fil: Kim, Seung Soo. Seoul National University; Corea del Sur
Fil: Hwang, Cheol Seong. Seoul National University; Corea del Sur
description Due to its area and energy efficiency, a memristive crossbar array (CBA) has been extensively studied for various combinatorial optimization applications, from network problems to circuit design. However, conventional approaches include heavily burdening software fine-tuning for the annealing process. Instead, this study introduces the “in-materia annealing” method, where the inter-layer interference of vertically stacked memristive CBA is utilized as an annealing method. When mapping combinatorial optimization problems into the configuration layer of the CBA, exponentially decaying annealing profiles are generated in nearby noise layers. Moreover, in-materia annealing profiles can be controlled by changing compliance current, read voltage, and read pulse width. Therefore, the annealing profiles can be arbitrarily controlled and generated individually for each cell, providing rich noise sources to solve the problem efficiently. Consequently, the experimental and simulation of Max-Cut and weighted Max-Cut problems achieve notable results with the minimum software burden.
publishDate 2024
dc.date.none.fl_str_mv 2024-08
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/267679
Lee, Soo Hyung; Cheong, Sunwoo; Cho, Jea Min; Ghenzi, Néstor; Shin, Dong Hoon; et al.; In‐Materia Annealing and Combinatorial Optimization Based on Vertical Memristive Array; Wiley VCH Verlag; Advanced Materials; 36; 40; 8-2024; 1-12
0935-9648
CONICET Digital
CONICET
url http://hdl.handle.net/11336/267679
identifier_str_mv Lee, Soo Hyung; Cheong, Sunwoo; Cho, Jea Min; Ghenzi, Néstor; Shin, Dong Hoon; et al.; In‐Materia Annealing and Combinatorial Optimization Based on Vertical Memristive Array; Wiley VCH Verlag; Advanced Materials; 36; 40; 8-2024; 1-12
0935-9648
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://onlinelibrary.wiley.com/doi/10.1002/adma.202410191
info:eu-repo/semantics/altIdentifier/doi/10.1002/adma.202410191
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Wiley VCH Verlag
publisher.none.fl_str_mv Wiley VCH Verlag
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
_version_ 1846083066617921536
score 13.22299

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