{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/106374"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/106374","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"Fuzzy-token: An adaptive Mac protocol for wireless network-on-chip","abstract":"Recent computer architecture trends herald the arrival of massive multiprocessors with more than a thousand processor cores within a single chip. In this context, as parallel programs continue to increase the amount of data sharing and signaling between cores, on-chip communication becomes a critical issue. Unfortunately, traditional on-chip networks have been proven to not scale well in terms of latency or energy consumption, slowing down the computation in thousand-core processors. The Wireless Network-on-Chip (WNoC) paradigm holds considerable promise for the implementation of on-chip networks that will enable such massive multicore chips. One of the main challenges, however, resides in the design of methods that provide fast and efficient access to the wireless channel while adapting to the constant traffic changes within and across applications. Existing approaches are either cumbersome or do not provide the required adaptivity. We propose Fuzzy-Token, a simple protocol that leverages the unique properties of the on-chip scenario to deliver efficient and low-latency access irrespective of the application characteristics. We substantiate our claim via simulations with a synthetic traffic suite and real application traces.","abstract_html":"Recent computer architecture trends herald the arrival of massive multiprocessors with more than a thousand processor cores within a single chip. In this context, as parallel programs continue to increase the amount of data sharing and signaling between cores, on-chip communication becomes a critical issue. Unfortunately, traditional on-chip networks have been proven to not scale well in terms of latency or energy consumption, slowing down the computation in thousand-core processors. The Wireless Network-on-Chip (WNoC) paradigm holds considerable promise for the implementation of on-chip networks that will enable such massive multicore chips. One of the main challenges, however, resides in the design of methods that provide fast and efficient access to the wireless channel while adapting to the constant traffic changes within and across applications. Existing approaches are either cumbersome or do not provide the required adaptivity. We propose Fuzzy-Token, a simple protocol that leverages the unique properties of the on-chip scenario to deliver efficient and low-latency access irrespective of the application characteristics. We substantiate our claim via simulations with a synthetic traffic suite and real application traces.","abstract_has_math":false,"creators":["Franques Garcia, Antonio Maria"],"institution":"University of Illinois at Urbana-Champaign","degree_name":"M.S.","degree_level":"Thesis","degree_discipline":"Computer Science","degree_department":null,"school":null,"contributors":["Torrellas, Josep"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2020,"date_issued":"2020-03-02T22:15:07Z","date_published":"2020-03-02T22:15:07Z","updated_at":"2026-07-22T22:24:45Z","subjects":["Chip Multiprocessor","Wireless Network-on-Chip","Media Access Control"],"languages":["en"],"rights":["Copyright 2019 Antonio Maria Franques Garcia"],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/2142/106374","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Torrellas, Josep"]},{"key":"dc:creator","label":"Author","values":["Franques Garcia, Antonio Maria"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2020-03-02T22:15:07Z","2022-03-03T10:15:08Z","2019-12-05","2019-12"]},{"key":"dc:type","label":"Dc Type","values":["text"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Computer Science"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Thesis"]},{"key":"thesis:degree_name","label":"Degree Name","values":["M.S."]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["University of Illinois at Urbana-Champaign"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Chip Multiprocessor","Wireless Network-on-Chip","Media Access Control"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["en"]},{"key":"dc:rights","label":"Dc Rights","values":["Copyright 2019 Antonio Maria Franques Garcia"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["http://hdl.handle.net/2142/106374"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["Recent computer architecture trends herald the arrival of massive multiprocessors with more than a thousand processor cores within a single chip. In this context, as parallel programs continue to increase the amount of data sharing and signaling between cores, on-chip communication becomes a critical issue. Unfortunately, traditional on-chip networks have been proven to not scale well in terms of latency or energy consumption, slowing down the computation in thousand-core processors. The Wireless Network-on-Chip (WNoC) paradigm holds considerable promise for the implementation of on-chip networks that will enable such massive multicore chips. One of the main challenges, however, resides in the design of methods that provide fast and efficient access to the wireless channel while adapting to the constant traffic changes within and across applications. Existing approaches are either cumbersome or do not provide the required adaptivity. We propose Fuzzy-Token, a simple protocol that leverages the unique properties of the on-chip scenario to deliver efficient and low-latency access irrespective of the application characteristics. We substantiate our claim via simulations with a synthetic traffic suite and real application traces.","Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2021-12-01","The student, Antonio Maria Franques Garcia, accepted the attached license on 2019-12-04 at 16:56.","The student, Antonio Maria Franques Garcia, submitted this Thesis for approval on 2019-12-04 at 17:07.","This Thesis was approved for publication on 2019-12-05 at 10:43.","DSpace SAF Submission Ingestion Package generated from Vireo submission #14702 on 2020-02-28 at 17:23:28","Made available in DSpace on 2020-03-02T22:15:07Z (GMT). No. of bitstreams: 2 FRANQUESGARCIA-THESIS-2019.pdf: 3625252 bytes, checksum: 1dc9e18cb2b82390c542220b689023b4 (MD5) LICENSE.txt: 4226 bytes, checksum: 430f4c488e830e5bb96991da3477c669 (MD5) Previous issue date: 2019-12-05","Embargo set by: Seth Robbins for item 113916 Lift date: 2022-03-02T22:15:21Z Reason: Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD system","Embargo set by: Seth Robbins for item 113916 Lift date: 2022-03-02T22:18:25Z Reason: Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD system","U of I Only Restriction Lifted for Item 113916 on 2022-03-03T10:15:08Z."]},{"key":"dc:format","label":"Dc Format","values":["application/pdf"]},{"key":"dc:title","label":"Title","values":["Fuzzy-token: An adaptive Mac protocol for wireless network-on-chip"]}]}],"canonical_facts":{"dc:contributor":["Torrellas, Josep"],"dc:creator":["Franques Garcia, Antonio Maria"],"dc:date":["2020-03-02T22:15:07Z","2022-03-03T10:15:08Z","2019-12-05","2019-12"],"dc:description":["Recent computer architecture trends herald the arrival of massive multiprocessors with more than a thousand processor cores within a single chip. In this context, as parallel programs continue to increase the amount of data sharing and signaling between cores, on-chip communication becomes a critical issue. Unfortunately, traditional on-chip networks have been proven to not scale well in terms of latency or energy consumption, slowing down the computation in thousand-core processors. The Wireless Network-on-Chip (WNoC) paradigm holds considerable promise for the implementation of on-chip networks that will enable such massive multicore chips. One of the main challenges, however, resides in the design of methods that provide fast and efficient access to the wireless channel while adapting to the constant traffic changes within and across applications. Existing approaches are either cumbersome or do not provide the required adaptivity. We propose Fuzzy-Token, a simple protocol that leverages the unique properties of the on-chip scenario to deliver efficient and low-latency access irrespective of the application characteristics. We substantiate our claim via simulations with a synthetic traffic suite and real application traces.","Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2021-12-01","The student, Antonio Maria Franques Garcia, accepted the attached license on 2019-12-04 at 16:56.","The student, Antonio Maria Franques Garcia, submitted this Thesis for approval on 2019-12-04 at 17:07.","This Thesis was approved for publication on 2019-12-05 at 10:43.","DSpace SAF Submission Ingestion Package generated from Vireo submission #14702 on 2020-02-28 at 17:23:28","Made available in DSpace on 2020-03-02T22:15:07Z (GMT). No. of bitstreams: 2 FRANQUESGARCIA-THESIS-2019.pdf: 3625252 bytes, checksum: 1dc9e18cb2b82390c542220b689023b4 (MD5) LICENSE.txt: 4226 bytes, checksum: 430f4c488e830e5bb96991da3477c669 (MD5) Previous issue date: 2019-12-05","Embargo set by: Seth Robbins for item 113916 Lift date: 2022-03-02T22:15:21Z Reason: Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD system","Embargo set by: Seth Robbins for item 113916 Lift date: 2022-03-02T22:18:25Z Reason: Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD system","U of I Only Restriction Lifted for Item 113916 on 2022-03-03T10:15:08Z."],"dc:format":["application/pdf"],"dc:identifier":["http://hdl.handle.net/2142/106374"],"dc:language":["en"],"dc:rights":["Copyright 2019 Antonio Maria Franques Garcia"],"dc:subject":["Chip Multiprocessor","Wireless Network-on-Chip","Media Access Control"],"dc:title":["Fuzzy-token: An adaptive Mac protocol for wireless network-on-chip"],"dc:type":["text"],"thesis:degree_discipline":["Computer Science"],"thesis:degree_level":["Thesis"],"thesis:degree_name":["M.S."],"thesis:institution_name":["University of Illinois at Urbana-Champaign"]},"updated_at":"2026-07-22T22:24:45Z"}