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Evaluating the Scalability of Binary and Ternary CNN Workloads on RRAM-based Compute-in-Memory Accelerators

; ; ; ; ;

In
IEEE Computer Society Annual Symposium on VLSI, July 6-9, 2025, Kalamata, Greece : conference proceedings / ISVLSI 2025 ; University of the Peloponnese, ECE - University of the Peloponnese, ESDA Lab, ECSA Lab, IEEE Computer Society, CAS - IEEE Circuits and Systems Society, Seiten/Artikel-Nr: -

Konferenz/Event:28. IEEE Computer Society Annual Symposium on VLSI , Kalamata , Greece , ISVLSI 2025 , 2025-07-06 - 2025-07-09

Impressum[Piscataway, NJ] : IEEE

Umfang-

ISBN979-8-3315-3478-3, 979-8-3315-3477-6, 9798331534776, 9798331534783

Online
DOI: 10.1109/ISVLSI65124.2025.11130326


Einrichtungen

  1. Lehrstuhl für Software für Systeme auf Silizium (611910)



Dokumenttyp
Contribution to a book/Contribution to a conference proceedings

Format
online, print

Sprache
English

Anmerkung
Peer review status of article unknown

Externe Identnummern
SCOPUS: SCOPUS:2-s2.0-105016154949
WOS Core Collection: WOS:001575951700051

Interne Identnummern
RWTH-2025-10221
Datensatz-ID: 1022729

Beteiligte Länder
Germany

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The record appears in these collections:
Document types > Events > Contributions to a conference proceedings
Document types > Books > Contributions to a book
Faculty of Electrical Engineering and Information Technology (Fac.6)
Public records
Publications database
611910

 Record created 2025-12-02, last modified 2026-01-13



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