Spike-RISC: Algorithm/ISA Co-Optimization for Efficient SNNs on RISC-V

Artificial intelligence has proven its benefits in many domains. Yet, traditional deep learning models are still too energy and compute-intensive for resource-constrained edge environments. Spiking neural networks (SNNs) promise a more energy-efficient and low-latency alternative to traditional neur...

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Váldodahkkit:	Ipek Akdeniz, Sandy A. Wasif, Paul R. Genssler, Hussam Amrouch
Materiálatiipa:	Artigo
Giella:	Inglês
Almmustuhtton:	IEEE 2025-01-01
Ráidu:	IEEE Access
Fáttát:	Spiking neural networks edge AI RISC-V domain-specific accelerators
Liŋkkat:	https://ieeexplore.ieee.org/document/11028132/
Fáddágilkorat:	Lasit fáddágilkoriid Eai fáddágilkorat, Lasit vuosttaš fáddágilkora!

Spike-RISC: Algorithm/ISA Co-Optimization for Efficient SNNs on RISC-V

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