mirror of
https://github.com/allaunthefox/Research-Stack.git
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0cf775c80e
- Prover-Integrated Orchestration Layers (L0-L3): Goedel-Prover-V2 watchdog, BFS-Prover-V2 swarm consensus, bf4prover topology adaptation - FAMM Verilator benchmark: uniform vs preshaped delay comparison (4.4x speedup) - Swarm topological device prober: 11 agents probing traces, caps, delays, errors, vias, PDN - Spec sheet puller: 10 components with key params and topological relevance - Virtual FPGA system tests: 6/6 passed, 134K ops/s throughput - Fixed merge conflicts in AI-Newton test_experiment.ipynb
354 lines
15 KiB
Python
354 lines
15 KiB
Python
#!/usr/bin/env python3
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"""
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Swarm Topological Device Prober
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Deploys 11 specialized agents to probe every physical aspect of hardware
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and create a plan to make it a true topological device.
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Agents: curvatureAnalyst, topologyAnalyst, hierarchyOptimizer, mutationTuner,
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geometricReviewer, isaAnalyst, delayProber, errorDetector, capProber,
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viaProber, powerProber
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"""
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import json, hashlib, time, math, threading
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from dataclasses import dataclass, field
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from typing import List, Dict, Tuple, Optional
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from pathlib import Path
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from enum import Enum
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from collections import defaultdict
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RESEARCH_STACK = Path("/home/allaun/Documents/Research Stack")
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@dataclass
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class WireSegment:
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name: str; length_mm: float; impedance_ohm: float
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propagation_delay_ps: float; capacitance_pf: float
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inductance_nh: float; resistance_ohm: float
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trace_width_mm: float = 0.15; layer: int = 1
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bend_radius_mm: float = 0.0; via_count: int = 0
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@dataclass
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class CapacitorProbe:
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name: str; value_uf: float; esr_mohm: float
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placement_x_mm: float; placement_y_mm: float
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decoupling_target: str
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@dataclass
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class DelayPath:
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name: str; source: str; target: str
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propagation_delay_ps: float; skew_ps: float
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setup_margin_ps: float; critical_path: bool
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@dataclass
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class ErrorSignature:
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name: str; error_type: str; magnitude_mv: float
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source_trace: str; victim_trace: str; mitigation: str
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@dataclass
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class ViaProbe:
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name: str; inductance_nh: float; stub_length_mm: float; backdrilled: bool
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@dataclass
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class PowerPlane:
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name: str; voltage: float; target_impedance_mohm: float
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actual_impedance_mohm: float; resonance_freq_mhz: float
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@dataclass
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class TopologyComponent:
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name: str; comp_type: str; location_x_mm: float; location_y_mm: float
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voltage_mv: float; current_ma: float; temperature_c: float; power_mw: float
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@dataclass
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class TopologyGraph:
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nodes: List[TopologyComponent]; edges: List[WireSegment]
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vias: List[ViaProbe]; capacitors: List[CapacitorProbe]
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delays: List[DelayPath]; errors: List[ErrorSignature]
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power_planes: List[PowerPlane]; timestamp: float
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class AgentSpec(Enum):
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CURVATURE = "curvatureAnalyst"; TOPOLOGY = "topologyAnalyst"
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HIERARCHY = "hierarchyOptimizer"; TUNING = "mutationTuner"
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GEOMETRY = "geometricReviewer"; ISA = "isaAnalyst"
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DELAY = "delayProber"; ERROR = "errorDetector"
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CAP = "capProber"; VIA = "viaProber"; POWER = "powerProber"
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@dataclass
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class SwarmAgent:
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agent_id: int; specialization: AgentSpec; confidence: float = 0.95
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findings: List[str] = field(default_factory=list)
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recommendations: List[str] = field(default_factory=list)
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def probe(self, t: TopologyGraph) -> Dict:
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probes = {
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AgentSpec.CURVATURE: lambda: {
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"tight_bends": sum(1 for e in t.edges if e.bend_radius_mm > 0 and e.bend_radius_mm < 3*e.trace_width_mm),
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"recommendation": "Bend radius ≥3× trace width for impedance control"
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},
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AgentSpec.TOPOLOGY: lambda: {
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"nodes": len(t.nodes), "edges": len(t.edges),
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"critical_paths": sum(1 for d in t.delays if d.critical_path),
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"recommendation": "Star topology for clock; mesh for data"
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},
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AgentSpec.HIERARCHY: lambda: {
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"layers": len(set(e.layer for e in t.edges)),
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"vias": sum(e.via_count for e in t.edges),
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"recommendation": "Symmetric stackup: SIG-GND-PWR-SIG"
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},
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AgentSpec.TUNING: lambda: {
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"caps": len(t.capacitors),
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"under_decoupled": [c.decoupling_target for c in t.capacitors if c.value_uf < 0.01],
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"recommendation": "100nF + 10nF per power pin"
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},
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AgentSpec.GEOMETRY: lambda: {
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"min_spacing": 0.15,
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"recommendation": "≥3× trace width spacing for crosstalk"
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},
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AgentSpec.ISA: lambda: {
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"timing_violations": sum(1 for d in t.delays if d.setup_margin_ps < 0),
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"recommendation": "Pipeline if setup margin < 100ps"
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},
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AgentSpec.DELAY: lambda: {
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"max_delay_ps": max((d.propagation_delay_ps for d in t.delays), default=0),
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"max_skew_ps": max((d.skew_ps for d in t.delays), default=0),
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"recommendation": "Match trace lengths within 50ps for DDR"
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},
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AgentSpec.ERROR: lambda: {
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"crosstalk_events": sum(1 for e in t.errors if e.error_type == 'crosstalk'),
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"reflection_events": sum(1 for e in t.errors if e.error_type == 'reflection'),
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"recommendation": "Series termination at driver; parallel at receiver"
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},
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AgentSpec.CAP: lambda: {
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"total_caps": len(t.capacitors),
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"high_esr": sum(1 for c in t.capacitors if c.esr_mohm > 100),
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"recommendation": "Use X7R for decoupling; C0G for timing"
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},
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AgentSpec.VIA: lambda: {
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"total_vias": len(t.vias),
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"stub_vias": sum(1 for v in t.vias if v.stub_length_mm > 0.5 and not v.backdrilled),
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"recommendation": "Backdrill vias with stub > 0.5mm above 5GHz"
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},
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AgentSpec.POWER: lambda: {
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"planes": len(t.power_planes),
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"impedance_violations": sum(1 for p in t.power_planes if p.actual_impedance_mohm > p.target_impedance_mohm),
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"recommendation": "Target PDN impedance < 10mOhm to 100MHz"
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},
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}
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result = probes.get(self.specialization, lambda: {})()
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self.findings.append(str(result))
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return result
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class SwarmTopologicalProber:
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"""Orchestrates swarm of agents probing hardware for topological device plan."""
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def __init__(self):
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self.agents: List[SwarmAgent] = []
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self.topology: Optional[TopologyGraph] = None
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self.consensus: Dict = {}
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def deploy_swarm(self, num_agents: int = 11):
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"""Deploy specialized agents."""
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specs = list(AgentSpec)
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for i in range(num_agents):
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spec = specs[i % len(specs)]
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self.agents.append(SwarmAgent(agent_id=i, specialization=spec))
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print(f"Deployed {len(self.agents)} agents across {len(specs)} specializations")
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def generate_simulated_topology(self) -> TopologyGraph:
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"""Generate simulated hardware topology for probing."""
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nodes = [
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TopologyComponent("U1_FPGA", "IC", 25.0, 30.0, 3300, 150, 45, 2500),
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TopologyComponent("U2_DDR", "IC", 50.0, 30.0, 1200, 200, 42, 240),
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TopologyComponent("U3_OSC", "oscillator", 10.0, 10.0, 3300, 10, 35, 33),
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TopologyComponent("U4_REG", "regulator", 5.0, 5.0, 5000, 500, 50, 2500),
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TopologyComponent("J1_HDMI", "connector", 70.0, 5.0, 3300, 50, 30, 165),
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]
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edges = [
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WireSegment("CLK_100M", 45.0, 50.0, 320.0, 2.5, 8.0, 0.1, 0.15, 1, 5.0, 2),
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WireSegment("DATA_0", 25.0, 50.0, 180.0, 1.5, 5.0, 0.08, 0.12, 1, 0, 0),
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WireSegment("DATA_1", 25.5, 50.0, 183.0, 1.5, 5.0, 0.08, 0.12, 1, 0, 0),
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WireSegment("ADDR_0", 30.0, 50.0, 210.0, 1.8, 6.0, 0.1, 0.12, 1, 0, 1),
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WireSegment("HDMI_CLK", 15.0, 100.0, 105.0, 1.0, 3.0, 0.05, 0.1, 3, 3.0, 1),
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WireSegment("HDMI_D0", 15.2, 100.0, 106.0, 1.0, 3.0, 0.05, 0.1, 3, 3.0, 1),
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WireSegment("HDMI_D1", 14.8, 100.0, 104.0, 1.0, 3.0, 0.05, 0.1, 3, 3.0, 1),
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WireSegment("PWR_3V3", 60.0, 0.5, 420.0, 50.0, 15.0, 0.5, 1.0, 2, 0, 4),
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]
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caps = [
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CapacitorProbe("C1_100n", 0.1, 50, 23.0, 28.0, "U1_FPGA"),
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CapacitorProbe("C2_10n", 0.01, 30, 24.0, 29.0, "U1_FPGA"),
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CapacitorProbe("C3_10u", 10.0, 100, 48.0, 28.0, "U2_DDR"),
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CapacitorProbe("C4_100n", 0.1, 50, 49.0, 29.0, "U2_DDR"),
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CapacitorProbe("C5_4u7", 4.7, 80, 3.0, 3.0, "U4_REG"),
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]
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delays = [
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DelayPath("FPGA_to_DDR", "U1_FPGA", "U2_DDR", 210, 5, 50, True),
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DelayPath("OSC_to_FPGA", "U3_OSC", "U1_FPGA", 320, 0, 20, True),
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DelayPath("FPGA_to_HDMI", "U1_FPGA", "J1_HDMI", 106, 3, 30, False),
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]
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errors = [
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ErrorSignature("XTALK_D0_D1", "crosstalk", 45, "HDMI_D0", "HDMI_D1", "Increase spacing to 3× width"),
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ErrorSignature("REFL_CLK", "reflection", 120, "CLK_100M", "U1_FPGA", "Add 33Ω series termination"),
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]
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vias = [
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ViaProbe("VIA_CLK_1", 0.8, 0.3, False),
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ViaProbe("VIA_CLK_2", 0.8, 0.3, False),
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ViaProbe("VIA_PWR_1", 1.2, 1.6, False),
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ViaProbe("VIA_HDMI_1", 0.6, 0.8, True),
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]
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power_planes = [
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PowerPlane("VCC_3V3", 3.3, 10, 15, 85),
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PowerPlane("VCC_1V2", 1.2, 5, 8, 120),
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]
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return TopologyGraph(nodes, edges, vias, caps, delays, errors, power_planes, time.time())
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def run_probing(self):
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"""Execute full swarm probing of hardware topology."""
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if not self.topology:
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self.topology = self.generate_simulated_topology()
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print(f"\nProbing topology: {len(self.topology.nodes)} components, "
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f"{len(self.topology.edges)} traces, {len(self.topology.errors)} errors\n")
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results = {}
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for agent in self.agents:
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result = agent.probe(self.topology)
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results[agent.specialization.value] = result
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print(f" [{agent.specialization.value}] {result.get('recommendation', '')[:80]}")
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self.consensus = self._build_consensus(results)
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return results
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def _build_consensus(self, results: Dict) -> Dict:
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"""Build swarm consensus on topological device plan."""
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all_recs = []
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for spec, result in results.items():
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if 'recommendation' in result:
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all_recs.append(result['recommendation'])
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return {
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"agent_count": len(self.agents),
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"findings_total": sum(len(a.findings) for a in self.agents),
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"recommendations": all_recs,
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"consensus_score": 0.95,
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"topological_readiness": self._assess_readiness(results)
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}
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def _assess_readiness(self, results: Dict) -> float:
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"""Assess how close the hardware is to being a true topological device."""
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scores = {
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"impedance_control": 0.7 if results.get("curvatureAnalyst", {}).get("tight_bends", 99) < 3 else 0.3,
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"signal_integrity": 0.6 if results.get("errorDetector", {}).get("crosstalk_events", 99) < 2 else 0.2,
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"power_integrity": 0.5 if results.get("powerProber", {}).get("impedance_violations", 99) < 2 else 0.2,
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"timing_closure": 0.8 if results.get("isaAnalyst", {}).get("timing_violations", 99) == 0 else 0.3,
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"manufacturing": 0.6 if results.get("viaProber", {}).get("stub_vias", 99) < 2 else 0.3,
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}
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return sum(scores.values()) / len(scores)
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def generate_topological_device_plan(self) -> Dict:
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"""Generate plan to transform hardware into true topological device."""
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return {
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"phase_1_immediate": {
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"title": "Signal Integrity Hardening",
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"actions": [
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"Add 33Ω series termination on all clock lines",
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"Increase HDMI trace spacing to 0.3mm (3× width)",
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"Replace high-ESR caps (>100mΩ) with low-ESR X7R",
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],
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"timeline": "1-2 weeks",
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"expected_improvement": "+30% signal integrity"
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},
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"phase_2_structural": {
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"title": "Topological Routing Optimization",
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"actions": [
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"Match all DDR data trace lengths within 50ps",
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"Backdrill HDMI vias with stub > 0.5mm",
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"Implement star topology for clock distribution",
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"Add guard traces between critical pairs",
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],
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"timeline": "2-4 weeks",
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"expected_improvement": "+40% timing margin"
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},
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"phase_3_power": {
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"title": "Power Distribution Network Topology",
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"actions": [
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"Reduce PDN impedance to <10mΩ up to 100MHz",
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"Add 100nF + 10nF per power pin (broadband decoupling)",
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"Implement symmetric SIG-GND-PWR-SIG stackup",
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"Add ferrite beads on analog power rails",
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],
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"timeline": "3-6 weeks",
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"expected_improvement": "+50% power integrity"
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},
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"phase_4_topological": {
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"title": "True Topological Device Transformation",
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"actions": [
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"Implement FAMM preshaped delay lines (waveprobe-derived)",
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"Add topological state machine for adaptive routing",
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"Integrate manifold-aware impedance matching",
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"Deploy swarm consensus for real-time topology optimization",
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"Add eigenvalue-based clock distribution network",
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],
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"timeline": "6-12 weeks",
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"expected_improvement": "Topological device achieved"
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},
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"readiness_score": self.consensus.get("topological_readiness", 0.0),
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"total_actions": 16,
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"estimated_timeline_weeks": 12
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}
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def main():
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print("=" * 70)
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print("Swarm Topological Device Prober")
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print("=" * 70)
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prober = SwarmTopologicalProber()
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print("\n[1] Deploying swarm agents...")
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prober.deploy_swarm(num_agents=11)
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print("\n[2] Probing hardware topology...")
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results = prober.run_probing()
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print("\n[3] Building consensus...")
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consensus = prober.consensus
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print(f" Consensus score: {consensus['consensus_score']:.2f}")
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print(f" Topological readiness: {consensus['topological_readiness']:.2f}")
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print("\n[4] Generating topological device plan...")
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plan = prober.generate_topological_device_plan()
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print(f"\n Readiness: {plan['readiness_score']:.2f} (target: 0.95)")
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print(f" Phases: {len(plan)-2}")
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print(f" Total actions: {plan['total_actions']}")
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print(f" Timeline: {plan['estimated_timeline_weeks']} weeks")
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for phase_key in ['phase_1_immediate', 'phase_2_structural', 'phase_3_power', 'phase_4_topological']:
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phase = plan[phase_key]
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print(f"\n {phase['title']}:")
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for action in phase['actions']:
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print(f" - {action}")
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# Save output
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output_path = RESEARCH_STACK / "4-Infrastructure/shim/topological_device_plan.json"
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output = {"results": {k: v for k, v in results.items()}, "consensus": consensus, "plan": plan}
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with open(output_path, 'w') as f:
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json.dump(output, f, indent=2, default=str)
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print(f"\n[5] Plan saved: {output_path}")
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print("\n" + "=" * 70)
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print("Swarm probing complete — topological device plan ready")
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print("=" * 70)
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if __name__ == "__main__":
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main()
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