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Sponsored AI Networking Cookbook: Practical recipes for AI-assisted network automation and development AI Networking Cookbook: Practical recipes for AI-assisted network automation and development

Author

Panagiotis Chaidos

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2 papers indexed here

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Open access Oct 2026

NTV-CIM: System-Level Assessment of Near-Threshold Digital Compute-in-Memory Accelerators

To deal with the growing needs of deep neural networks (DNNs), energy efficiency techniques such as near-threshold voltage (NTV) have been deployed, promising to reduce energy consumption by decreasing the supply voltage of accelerators. Despite its potential, the systematic application of NTV in digital compute-in-mem...

Panagiotis Chaidos, Alexis Maras, Georgios Alexandris et al. · 0 citations
Preprint Oct 2026

Adapting DNNs to Embrace Voltage Scaling Induced Errors via Accumulation-Aware Quantization

This work aims to address energy-reliability trade-offs in DNNs by introducing a hardware-software co-design methodology, based on the observation that timing-robust bit ranges within the accumulator of a systolic array vary significantly across different voltage-frequency operating points.

Alexis Maras, Panagiotis Chaidos, Georgios Alexandris et al. · 0 citations

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