Author

Alexis Maras

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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. · IEEE Embedded Systems Letter... · 0 citations

Preprint Oct 2026

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

The pervasive deployment of Deep Neural Networks (DNNs) across the computing spectrum has brought growing attention to energy efficiency, alongside raw performance. While voltage scaling is a potent knob for power reduction, its application in next-generation nodes is hampered by severe throughput degradation and susce...

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