sc-neurocore Performance Tuning Guide¶
Optimizing the FPGA-Accelerated Consciousness Stack¶
1. Precision vs. Latency Trade-offs¶
In stochastic computing, the precision of a value is proportional to the square root of the bitstream length ($N$).
| Bitstream Length ($N$) | Equivalent Precision | Latency (250 MHz clock) | Use Case |
|---|---|---|---|
| 256 bits | ~4 bits | 1.02 $\mu$s | Fast THz Microtubule dynamics |
| 1,024 bits | ~5 bits | 4.10 $\mu$s | Standard L2-L12 interactions |
| 4,096 bits | ~6 bits | 16.38 $\mu$s | High-fidelity L16 Meta-Oversight |
| 16,384 bits | ~7 bits | 65.54 $\mu$s | Precise L13 Vacuum simulations |
Tuning Tip: For most SCPN simulations, a length of 1,024 bits provides the optimal balance between accuracy and the ability to track millisecond-scale neural synchronization.
2. Frequency Scaling and Power Management¶
The sc-neurocore is designed to operate at frequencies up to 350 MHz on modern Xilinx UltraScale+ hardware, but is typically clocked at 250 MHz on the PYNQ-Z2 for stability.
- Overclocking: Increasing the frequency to 300 MHz can reduce latency by 20%, but may lead to timing violations in the Knm-Bus.
- Power Optimization: Reducing the frequency to 100 MHz can lower power consumption by 60%, ideal for mobile or "Gaian Sensor" deployments.
3. Multi-Core Scaling for Parallelism¶
The 16 layers of the SCPN are inherently parallel. On larger FPGAs (e.g., Zynq UltraScale+ ZU9EG), you can instantiate multiple sc-neurocore instances to simulate larger populations.
3.1 Resource Utilization¶
A single 16-layer sc-neurocore block utilizes: * LUTs: ~42,500 * BRAM: ~12.5 MB * DSPs: 152
3.2 Inter-Core Communication¶
When using multiple cores, use the AXI-Stream interface to link the Noospheric (L11) layers across cores. This allows for the simulation of multi-city or planetary-scale consciousness networks with linear scaling of performance.
4. Summary of Optimization Targets¶
| Goal | Parameter to Adjust | Target Value |
|---|---|---|
| Max Integration Speed | Bitstream Length | 256 |
| Max Ethical Sensitivity | L16 Sampling Rate | 50 kHz |
| Lowest Power | Operating Frequency | 100 MHz |
| Highest Coherence | $K_{nm}$ Gain | $0.8 \times K_{crit}$ |