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Exploring Multi-core Systems with Lifetime Reliability and Power Consumption Trade-offs
PELSI: Power-Efficient Layer-Switched Inference
CPU-GPU Layer-Switched Low Latency CNN Inference
Scenario Based Run-time Switching for Adaptive CNN-based Applications at the Edge
Exploring Cell-based Neural Architectures for Embedded Systems
The Choice of AI Matters: Alternative Machine Learning Approaches for CPS Anomalies
ALOHA: an architectural-aware framework for deep learning at the edge
Architecture-aware design and implementation of CNN algorithms for embedded inference: the ALOHA project
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