Abstract: Deep neural networks (DNNs) have shown remarkable success in various machine-learning (ML) tasks useful for many safety-critical, real-time embedded systems. The foremost design goal for ...
Abstract: As DNNs are developing rapidly, the computational and memory burden imposed on hardware systems grows exponentially. This becomes even more severe for large language models (LLMs) and ...
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