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Integrated synthesis methodology for crossbar arrays

  • M. Ceylan Morgul
  • , Onur Tunali
  • , Mustafa Altun
  • , Luca Frontini
  • , Valentina Ciriani
  • , E. Ioana Vatajelu
  • , Lorena Anghel
  • , Csaba Andras Moritz
  • , Mircea R. Stan
  • , Dan Alexandrescu

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde BölümKonferans katkısıbilirkişi

7 Atıf (Scopus)

Özet

Nano-crossbar arrays have emerged as area and power efficient structures with an aim of achieving high performance computing beyond the limits of current CMOS. Due to the stochastic nature of nano-fabrication, nano arrays show different properties both in structural and physical device levels compared to conventional technologies. Mentioned factors introduce random characteristics that need to be carefully considered by synthesis process. For instance, a competent synthesis methodology must consider basic technology preference for switching elements, defect or fault rates of the given nano switching array and the variation values as well as their effects on performance metrics including power, delay, and area. Presented synthesis methodology in this study comprehensively covers the all specified factors and provides optimization algorithms for each step of the process.

Orijinal dilİngilizce
Ana bilgisayar yayını başlığıProceedings of the 14th IEEE/ACM International Symposium on Nanoscale Architectures, NANOARCH 2018
YayınlayanAssociation for Computing Machinery, Inc
Sayfalar91-97
Sayfa sayısı7
ISBN (Elektronik)9781450358156
DOI'lar
Yayın durumuYayınlandı - 17 Tem 2018
Etkinlik14th IEEE/ACM International Symposium on Nanoscale Architectures, NANOARCH 2018 - Athens, Greece
Süre: 18 Tem 201819 Tem 2018

Yayın serisi

AdıProceedings of the 14th IEEE/ACM International Symposium on Nanoscale Architectures, NANOARCH 2018

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???event.eventtypes.event.conference???14th IEEE/ACM International Symposium on Nanoscale Architectures, NANOARCH 2018
Ülke/BölgeGreece
ŞehirAthens
Periyot18/07/1819/07/18

Bibliyografik not

Publisher Copyright:
© 2018 Association for Computing Machinery.

Finansman

This work is part of a project that has received funding from the European Union’s H2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement #691178, as well as supported by the TUBITAK-Career project #113E760.

FinansörlerFinansör numarası
European Union’s H2020 research and innovation programme113E760
Horizon 2020 Framework Programme691178

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