Building a Full-System Accelerator Prototype with Renode
An open-source full-system workflow that connects PyTorch, a Linux driver, and Verilated RTL inside a Renode-simulated SoC before physical hardware is ready.
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An open-source full-system workflow that connects PyTorch, a Linux driver, and Verilated RTL inside a Renode-simulated SoC before physical hardware is ready.
Custom AI hardware creates value when repeated model operations can be moved into workload-specific datapaths for better latency, power, and integration. This post shows a small PyTorch-facing prototype that connects ordinary tensor code to that hardware path.