Exploring Scaling Efficiency of Intel Loihi Neuromorphic Processor

Recep Buǧra Uludaǧ; Serhat Çaǧdaş; Yavuz Selim Işler; Neslihan Serap Şengör; Ismail Akturk

doi:10.1109/ICECS58634.2023.10382884

Exploring Scaling Efficiency of Intel Loihi Neuromorphic Processor

Recep Buǧra Uludaǧ^*, Serhat Çaǧdaş, Yavuz Selim Işler, Neslihan Serap Şengör, Ismail Akturk

^*Bu çalışma için yazışmadan sorumlu yazar

Elektronik ve Hab.Müh.Bölümü

Araştırma sonucu: ???type-name??? › Konferans katkısı › bilirkişi

Özet

In this paper, we focus on examining how scaling efficiency evolves in winner-take-all (WTA) network models on Intel Loihi neuromorphic processor, as network-related features such as network size, neuron type, and connectivity scheme change. By analyzing these relationships, our study aims to shed light on the intricate interplay between SNN features and the efficiency of neuromorphic systems as they scale up. The findings presented in this paper are expected to enhance the comprehension of scaling efficiency in neuromorphic hardware, providing valuable insights for researchers and developers in optimizing the performance of large-scale SNNs on neuromorphic architectures.

Orijinal dil	İngilizce
Ana bilgisayar yayını başlığı	ICECS 2023 - 2023 30th IEEE International Conference on Electronics, Circuits and Systems
Ana bilgisayar yayını alt yazısı	Technosapiens for Saving Humanity
Yayınlayan	Institute of Electrical and Electronics Engineers Inc.
ISBN (Elektronik)	9798350326499
DOI'lar	https://doi.org/10.1109/ICECS58634.2023.10382884
Yayın durumu	Yayınlandı - 2023
Etkinlik	30th IEEE International Conference on Electronics, Circuits and Systems, ICECS 2023 - Istanbul, Turkey Süre: 4 Ara 2023 → 7 Ara 2023

Yayın serisi

Adı	ICECS 2023 - 2023 30th IEEE International Conference on Electronics, Circuits and Systems: Technosapiens for Saving Humanity

???event.eventtypes.event.conference???

???event.eventtypes.event.conference???	30th IEEE International Conference on Electronics, Circuits and Systems, ICECS 2023
Ülke/Bölge	Turkey
Şehir	Istanbul
Periyot	4/12/23 → 7/12/23

Bibliyografik not

Publisher Copyright:
© 2023 IEEE.

Finansman

This work is supported by Intel’s Neuromorphic Research Community (INRC) Access Grant. We thank the INRC’s technical support team for helpful feedback on technical issues.

Finansörler	Finansör numarası
Intel’s Neuromorphic Research Community

Belgeye Erişim

10.1109/ICECS58634.2023.10382884

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

Uludaǧ, R. B., Çaǧdaş, S., Işler, Y. S., Şengör, N. S., & Akturk, I. (2023). Exploring Scaling Efficiency of Intel Loihi Neuromorphic Processor. In ICECS 2023 - 2023 30th IEEE International Conference on Electronics, Circuits and Systems: Technosapiens for Saving Humanity (ICECS 2023 - 2023 30th IEEE International Conference on Electronics, Circuits and Systems: Technosapiens for Saving Humanity). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICECS58634.2023.10382884

Uludaǧ, Recep Buǧra ; Çaǧdaş, Serhat ; Işler, Yavuz Selim et al. / Exploring Scaling Efficiency of Intel Loihi Neuromorphic Processor. ICECS 2023 - 2023 30th IEEE International Conference on Electronics, Circuits and Systems: Technosapiens for Saving Humanity. Institute of Electrical and Electronics Engineers Inc., 2023. (ICECS 2023 - 2023 30th IEEE International Conference on Electronics, Circuits and Systems: Technosapiens for Saving Humanity).

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title = "Exploring Scaling Efficiency of Intel Loihi Neuromorphic Processor",

abstract = "In this paper, we focus on examining how scaling efficiency evolves in winner-take-all (WTA) network models on Intel Loihi neuromorphic processor, as network-related features such as network size, neuron type, and connectivity scheme change. By analyzing these relationships, our study aims to shed light on the intricate interplay between SNN features and the efficiency of neuromorphic systems as they scale up. The findings presented in this paper are expected to enhance the comprehension of scaling efficiency in neuromorphic hardware, providing valuable insights for researchers and developers in optimizing the performance of large-scale SNNs on neuromorphic architectures.",

keywords = "Intel Loihi, Scaling Efficiency, Spiking Neural Networks, Winner-take-all",

author = "Uludaǧ, {Recep Buǧra} and Serhat {\c C}aǧda{\c s} and I{\c s}ler, {Yavuz Selim} and {\c S}eng{\"o}r, {Neslihan Serap} and Ismail Akturk",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 30th IEEE International Conference on Electronics, Circuits and Systems, ICECS 2023 ; Conference date: 04-12-2023 Through 07-12-2023",

year = "2023",

doi = "10.1109/ICECS58634.2023.10382884",

language = "English",

series = "ICECS 2023 - 2023 30th IEEE International Conference on Electronics, Circuits and Systems: Technosapiens for Saving Humanity",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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Uludaǧ, RB, Çaǧdaş, S, Işler, YS, Şengör, NS & Akturk, I 2023, Exploring Scaling Efficiency of Intel Loihi Neuromorphic Processor. in ICECS 2023 - 2023 30th IEEE International Conference on Electronics, Circuits and Systems: Technosapiens for Saving Humanity. ICECS 2023 - 2023 30th IEEE International Conference on Electronics, Circuits and Systems: Technosapiens for Saving Humanity, Institute of Electrical and Electronics Engineers Inc., 30th IEEE International Conference on Electronics, Circuits and Systems, ICECS 2023, Istanbul, Turkey, 4/12/23. https://doi.org/10.1109/ICECS58634.2023.10382884

Exploring Scaling Efficiency of Intel Loihi Neuromorphic Processor. / Uludaǧ, Recep Buǧra; Çaǧdaş, Serhat; Işler, Yavuz Selim et al.
ICECS 2023 - 2023 30th IEEE International Conference on Electronics, Circuits and Systems: Technosapiens for Saving Humanity. Institute of Electrical and Electronics Engineers Inc., 2023. (ICECS 2023 - 2023 30th IEEE International Conference on Electronics, Circuits and Systems: Technosapiens for Saving Humanity).

Araştırma sonucu: ???type-name??? › Konferans katkısı › bilirkişi

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AU - Uludaǧ, Recep Buǧra

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AU - Işler, Yavuz Selim

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AU - Akturk, Ismail

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AB - In this paper, we focus on examining how scaling efficiency evolves in winner-take-all (WTA) network models on Intel Loihi neuromorphic processor, as network-related features such as network size, neuron type, and connectivity scheme change. By analyzing these relationships, our study aims to shed light on the intricate interplay between SNN features and the efficiency of neuromorphic systems as they scale up. The findings presented in this paper are expected to enhance the comprehension of scaling efficiency in neuromorphic hardware, providing valuable insights for researchers and developers in optimizing the performance of large-scale SNNs on neuromorphic architectures.

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Uludaǧ RB, Çaǧdaş S, Işler YS, Şengör NS, Akturk I. Exploring Scaling Efficiency of Intel Loihi Neuromorphic Processor. In ICECS 2023 - 2023 30th IEEE International Conference on Electronics, Circuits and Systems: Technosapiens for Saving Humanity. Institute of Electrical and Electronics Engineers Inc. 2023. (ICECS 2023 - 2023 30th IEEE International Conference on Electronics, Circuits and Systems: Technosapiens for Saving Humanity). doi: 10.1109/ICECS58634.2023.10382884

Exploring Scaling Efficiency of Intel Loihi Neuromorphic Processor

Özet

Yayın serisi

???event.eventtypes.event.conference???

Bibliyografik not

Finansman

Belgeye Erişim

Diğer Dosyalar ve Linkler

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