Publication:
Efficient Coarse-Grained Reconfigurable Array architecture for machine learning applications in space using DARE65T library platform
| cris.virtual.department | #PLACEHOLDER_PARENT_METADATA_VALUE# | |
| cris.virtual.orcid | 0000-0002-5320-7844 | |
| cris.virtualsource.department | 42898eaa-70e3-4759-9d66-6b3517f00a13 | |
| cris.virtualsource.orcid | 42898eaa-70e3-4759-9d66-6b3517f00a13 | |
| dc.contributor.author | Zulberti, Luca | |
| dc.contributor.author | Monopoli, Matteo | |
| dc.contributor.author | Nannipieri, Pietro | |
| dc.contributor.author | Moranti, Silvia | |
| dc.contributor.author | Thys, Geert | |
| dc.contributor.author | Fanucci, Luca | |
| dc.contributor.imecauthor | Thys, Geert | |
| dc.contributor.orcidimec | Thys, Geert::0000-0002-5320-7844 | |
| dc.date.accessioned | 2025-01-31T18:10:36Z | |
| dc.date.available | 2025-01-31T18:10:36Z | |
| dc.date.issued | 2025-MAR | |
| dc.description.wosFundingText | This study received funding from the European Union-Next-GenerationEU-National Recovery and Resilience Plan (NRRP) - MIS-SION 4 COMPONENT 2, INVESTMENT N. 1.1, CALL PRIN 2022 PNRR D.D. 1409 14-09-2022 - (OPERAND-a recOnfigurable Platform & framEwork foR Ai infereNce on the eDge) CUP N.I53D23006070001, from the Italian Ministry of University and Research (MUR) within the framework of the FoReLab project (Departments of Excellence) and from the European Space Agency (ESA) within the framework of the Open Space Innovation Platform (OSIP) co-funded research under the European Space Agency (ESA) contract No. 4000137503/22/NL/GLC/MY. | |
| dc.identifier.doi | 10.1016/j.micpro.2025.105142 | |
| dc.identifier.issn | 0141-9331 | |
| dc.identifier.uri | https://imec-publications.be/handle/20.500.12860/45131 | |
| dc.publisher | ELSEVIER | |
| dc.source.beginpage | 105142 | |
| dc.source.issue | March | |
| dc.source.journal | MICROPROCESSORS AND MICROSYSTEMS | |
| dc.source.numberofpages | 11 | |
| dc.source.volume | 113 | |
| dc.subject.keywords | ACCELERATOR | |
| dc.subject.keywords | CGRA | |
| dc.title | Efficient Coarse-Grained Reconfigurable Array architecture for machine learning applications in space using DARE65T library platform | |
| dc.type | Journal article | |
| dspace.entity.type | Publication | |
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