Datasets:
Added better understanding for RE4_path_tracing_telemetry.csv.
Browse files
README.md
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@@ -61,6 +61,12 @@ These files are used to study spiking behavior, routing stability, and adaptive
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- **plots/** — Visualization of SNN routing paths and firing density
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- **raw_telemetry/** — Original tick-by-tick log files
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### Related Repos
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- [corinth-canal](https://github.com/Limen-Neural/corinth-canal) — SNN quantization pipeline
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- [Surrogate_Viz.jl](https://github.com/Spikenaut/Surrogate_Viz.jl) — Symbolic regression and visualization
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- **plots/** — Visualization of SNN routing paths and firing density
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- **raw_telemetry/** — Original tick-by-tick log files
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### Origin Hardware Baselines (`/origin_hardware_baselines/`)
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This directory contains the foundational, bare-metal hardware telemetry that inspired the Spikenaut SAAQ thermal equations.
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* **`RE4_path_tracing_telemetry.csv`**: This file captures the extreme hardware stress (GPU/CPU temps, package power, clock speeds) generated by running the *Resident Evil 4 Remake* with heavy modifications (path tracing, DLSS 4.0) on a high-performance workstation PC.
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* **Purpose:** This specific dataset proved that intense gaming workloads create a highly dynamic, non-zero biological "heartbeat" compared to static crypto-mining telemetry. These exact thermal fluctuations were used to derive the baseline fatigue limits for the SNN's `tick_gpu_temporal` loop.
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### Related Repos
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- [corinth-canal](https://github.com/Limen-Neural/corinth-canal) — SNN quantization pipeline
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- [Surrogate_Viz.jl](https://github.com/Spikenaut/Surrogate_Viz.jl) — Symbolic regression and visualization
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