Author

Amirhossein Ilkhani

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Conference Sep 2026

Energy and Area Efficient Systolic Accelerator for Sparse Neural Networks

Deep neural networks (DNNs) are increasingly deployed in real-time applications such as autonomous driving, robotics, and computer vision, where high accuracy must be achieved under strict performance and energy constraints. These networks rely heavily on matrix multiplication operations, which impose significant compu...

Amirhossein Ilkhani, Rezgar Sadeghi, Marc Reichenbach · Coins · 0 citations

#edge computing Review Open access Sep 2026

GPU and RISC-V acceleration for neuromorphic computing based on spiking neural networks: taxonomy, comparison, and open challenges

This survey reviews 71 studies published between 2015 and 2025 and organizes them into a taxonomy that classifies GPU works into simulation frameworks, training-acceleration techniques, large-scale and multi-GPU simulation, and application deployments, and RISC-V works into instruction-set extensions and tightly-couple...

Edris Zaman Farsa, Amirhossein Ilkhani, Marc Reichenbach et al. · Neuromorphic Computing and E... · 0 citations