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Showing 1–2 of 2 results
Advanced filters: Author: Rajit Manohar Clear advanced filters

  • Current deterministic neuromorphic systems rely on global barrier synchronization to achieve reproducible results which limits their scalability as system size grows. Here, the authors present NeuroScale, a deterministic and scalable architecture that replaces global synchronization with distributed local synchronization.

    • Congyang Li
    • Nabil Imam
    • Rajit Manohar
    ResearchOpen Access
    Nature Communications
    Volume: 16, P: 1-8

  • Brain-inspired neuromorphic algorithms and systems have shown essential advance in efficiency and capabilities of AI applications. In this Perspective, the authors introduce NeuroBench, a benchmark framework for neuromorphic approaches, collaboratively designed by researchers across industry and academia.

    • Jason Yik
    • Korneel Van den Berghe
    • Vijay Janapa Reddi
    ReviewsOpen Access
    Nature Communications
    Volume: 16, P: 1-24