bpu_v2_9b_r1

I recently came across this small ESP32 project and found the design ideas behind it very interesting. BPU (Batch Processing Unit) is a lightweight embedded scheduling core focused on keeping output pipelines stable under pressure (UART backpressure, limited bandwidth, bursty producers). Instead of blocking or growing unbounded queues, it: enforces per-tick byte budgets, coalesces redundant events, degrades gracefully under sustained load, exposes detailed runtime statistics. The repository includes design notes, flow diagrams, and real execution logs, which makes the runtime behavior very transparent. Repo: https://github.com/choihimchan/bpu_v2_9b_r1 I’ve been working on an ESP-IDF backend for it, and reading through the docs gave me a lot of ideas about observability and backpressure handling in small systems. Curious what others think

While working with ESP32, I kept running into the same failure mode: UART / BLE output occasionally falls behind, and simple queues either grow unbounded or force producers to block. I built a small embedded scheduling core focused on runtime behavior, not API completeness. What this demo shows: - Producers never block - Output is limited by a bytes-per-tick budget - TX backpressure causes jobs to requeue (not disappear) - Low-priority telemetry degrades explicitly under pressure - Every decision is observable via runtime counters and logs This is not an RTOS scheduler or a message queue library. It’s a validated snapshot of how the system behaves under sustained output pressure on ESP32 (Arduino). I’m curious how others handle this problem on small MCUs: explicit degradation, blocking producers, or something else?