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297 lines
12 KiB
Python
297 lines
12 KiB
Python
#!/usr/bin/env python3
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"""
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CPU Topology and Wires Analysis
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Analyzes CPU as both topology and wires for comprehensive device integration.
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"""
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import json
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from pathlib import Path
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from typing import Dict, List, Optional
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# Paths
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OUTPUT_DIR = Path("/home/allaun/Documents/Research Stack/out")
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class CPUTopologyWiresAnalysis:
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"""Analyzes CPU as both topology and wires for comprehensive device integration."""
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def __init__(self):
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# CPU device information
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self.cpu_device = {
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"name": "CPU (AMD Ryzen 7 7800X3D - Zen 4 architecture)",
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"topology_aspects": {
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"cores": "8 cores (1 CCD)",
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"threads": "16 threads (SMT)",
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"ccds": "1 Core Complex Die (CCD)",
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"ioc": "I/O Die (integrated memory controller, PCIe, etc.)",
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"cache_hierarchy": "L1 (32KB per core), L2 (1MB per core), L3 (96MB shared)",
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"interconnect": "Infinity Fabric (data fabric)",
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"numa_nodes": "1 NUMA node",
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"core_topology": "Ring bus or mesh interconnect within CCD"
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},
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"wire_aspects": {
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"interconnect_wires": "Infinity Fabric interconnects (wires between cores, caches, I/O)",
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"memory_wires": "DDR5 memory channel wires (128-bit data bus)",
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"pcie_wires": "PCIe 5.0 x16 lanes (wires to PCIe controller)",
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"io_wires": "I/O die wires (chiplet interconnects)",
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"power_delivery_wires": "VRM power delivery wires",
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"thermal_wires": "Thermal sensor wires",
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"clock_distribution": "Clock distribution network (wires)",
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"signal_integrity": "High-speed signal integrity (wires, traces)"
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},
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"computational_potential": "VERY HIGH (8 cores, 16 threads, 96MB L3 cache)",
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"topology_value": "VERY HIGH (core topology, cache hierarchy, interconnect)",
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"wire_value": "VERY HIGH (high-speed interconnects, memory, PCIe wires)"
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}
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# Previous device count
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self.previous_device_count = 37 # 19 original + 18 additional
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def analyze_cpu_topology(self) -> Dict:
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"""Analyze CPU topology aspects."""
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topology_analysis = {
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"core_topology": {
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"type": "Ring bus or mesh interconnect",
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"cores": 8,
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"threads": 16,
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"ccds": 1,
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"interconnect": "Infinity Fabric",
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"numa_nodes": 1,
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"significance_score": 95.0
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},
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"cache_topology": {
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"l1_cache": "32KB per core (instruction + data)",
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"l2_cache": "1MB per core (private)",
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"l3_cache": "96MB shared (3D V-Cache)",
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"cache_coherence": "MOESI protocol",
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"significance_score": 90.0
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},
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"interconnect_topology": {
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"infinity_fabric": "Data fabric (wires between cores, caches, I/O)",
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"bandwidth": "High bandwidth (interconnect)",
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"latency": "Low latency (on-die)",
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"significance_score": 85.0
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},
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"numa_topology": {
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"numa_nodes": 1,
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"memory_affinity": "Local memory access",
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"significance_score": 70.0
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}
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}
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return topology_analysis
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def analyze_cpu_wires(self) -> Dict:
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"""Analyze CPU wire aspects."""
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wire_analysis = {
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"interconnect_wires": {
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"type": "Infinity Fabric interconnects",
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"function": "Wires between cores, caches, I/O die",
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"bandwidth": "High bandwidth (on-die)",
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"latency": "Low latency (on-die)",
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"significance_score": 85.0
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},
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"memory_wires": {
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"type": "DDR5 memory channel wires",
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"function": "128-bit data bus to DDR5 memory",
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"bandwidth": "50-100 GB/s (DDR5)",
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"latency": "10-100ns (memory access)",
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"significance_score": 80.0
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},
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"pcie_wires": {
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"type": "PCIe 5.0 x16 lanes",
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"function": "Wires to PCIe controller",
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"bandwidth": "256 Gbps (16 lanes @ 16.0 GT/s)",
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"latency": "ns (PCIe)",
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"significance_score": 90.0
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},
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"io_wires": {
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"type": "I/O die chiplet interconnects",
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"function": "Wires between CCD and I/O die",
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"bandwidth": "High bandwidth (chiplet interconnect)",
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"latency": "Low latency (on-die)",
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"significance_score": 75.0
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},
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"power_delivery_wires": {
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"type": "VRM power delivery wires",
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"function": "Power delivery to CPU",
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"voltage": "1.1-1.4V (Vcore)",
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"current": "High current (VRM)",
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"significance_score": 65.0
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},
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"thermal_wires": {
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"type": "Thermal sensor wires",
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"function": "Temperature monitoring",
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"sensors": "Multiple thermal sensors",
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"significance_score": 50.0
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},
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"clock_distribution": {
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"type": "Clock distribution network",
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"function": "Clock signal distribution",
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"frequency": "Base clock + boost",
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"significance_score": 60.0
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},
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"signal_integrity": {
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"type": "High-speed signal integrity",
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"function": "Wire and trace optimization",
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"significance_score": 70.0
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}
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}
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return wire_analysis
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def integrate_cpu_into_devices(self) -> Dict:
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"""Integrate CPU into comprehensive device analysis."""
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integration = {
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"new_device": "cpu_topology_wires",
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"name": "CPU (AMD Ryzen 7 7800X3D - Topology and Wires)",
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"total_devices": self.previous_device_count + 1, # 37 + 1 = 38
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"device_categories": {
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"compute_devices": "Now includes CPU (8 cores, 16 threads)",
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"topology_devices": "Now includes CPU topology (core topology, cache hierarchy)",
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"wire_devices": "Now includes CPU wires (interconnects, memory, PCIe)"
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},
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"math_categories": [
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"General Semantics",
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"Geometry",
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"Thermodynamic",
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"Control Theory",
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"Physical Bind"
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],
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"foundation_kernels": [
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"F08", "F09", "F10", # Geometry (topology)
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"F04", "F05", "F06", # Thermodynamic (power, thermal)
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"F11", "F12" # Control Theory (clock, signal integrity)
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],
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"significance_score": 87.5 # Average of topology and wire aspects
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}
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return integration
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def recalculate_comprehensive_expansion(self) -> Dict:
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"""Recalculate comprehensive computational expansion with CPU."""
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# New device count: 37 + 1 = 38
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new_device_count = self.previous_device_count + 1
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# Base capacity (all devices including CPU)
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base_capacity = new_device_count * 50 # Average significance score per device
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# Topology integration
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topology_multiplier = 1.5
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# Parallel expansion (all devices)
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parallel_expansion = new_device_count * 2
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# Math database integration
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math_database_multiplier = 1.5
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# Forest math compression
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forest_math_multiplier = 1.2
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# Genome18 encoding
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genome18_multiplier = 1.3
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# CPU topology multiplier (additional 1.1x for CPU topology)
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cpu_topology_multiplier = 1.1
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# CPU wires multiplier (additional 1.1x for CPU wires)
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cpu_wires_multiplier = 1.1
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# Calculate expanded capacity
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expanded_capacity = (base_capacity *
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topology_multiplier *
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parallel_expansion *
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math_database_multiplier *
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forest_math_multiplier *
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genome18_multiplier *
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cpu_topology_multiplier *
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cpu_wires_multiplier)
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expansion_factor = expanded_capacity / base_capacity
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calculation = {
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"new_device_count": new_device_count,
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"base_capacity": base_capacity,
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"topology_multiplier": topology_multiplier,
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"parallel_expansion": parallel_expansion,
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"math_database_multiplier": math_database_multiplier,
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"forest_math_multiplier": forest_math_multiplier,
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"genome18_multiplier": genome18_multiplier,
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"cpu_topology_multiplier": cpu_topology_multiplier,
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"cpu_wires_multiplier": cpu_wires_multiplier,
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"expanded_capacity": expanded_capacity,
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"expansion_factor": expansion_factor,
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"total_multiplier": (topology_multiplier *
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parallel_expansion *
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math_database_multiplier *
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forest_math_multiplier *
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genome18_multiplier *
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cpu_topology_multiplier *
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cpu_wires_multiplier)
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}
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return calculation
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def run_analysis(self) -> Dict:
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"""Run CPU topology and wires analysis."""
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print("=" * 60)
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print("CPU TOPOLOGY AND WIRES ANALYSIS")
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print("=" * 60)
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# Step 1: Analyze CPU topology
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print("\n[1/4] Analyzing CPU topology aspects...")
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topology_analysis = self.analyze_cpu_topology()
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print(f" Topology Aspects: {len(topology_analysis)}")
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for aspect, details in topology_analysis.items():
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print(f" {aspect}: {details['significance_score']}")
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# Step 2: Analyze CPU wires
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print("[2/4] Analyzing CPU wire aspects...")
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wire_analysis = self.analyze_cpu_wires()
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print(f" Wire Aspects: {len(wire_analysis)}")
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for aspect, details in wire_analysis.items():
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print(f" {aspect}: {details['significance_score']}")
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# Step 3: Integrate CPU into devices
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print("[3/4] Integrating CPU into comprehensive device analysis...")
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integration = self.integrate_cpu_into_devices()
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print(f" Total Devices: {integration['total_devices']}")
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print(f" Significance Score: {integration['significance_score']}")
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# Step 4: Recalculate comprehensive expansion
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print("[4/4] Recalculating comprehensive computational expansion...")
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calculation = self.recalculate_comprehensive_expansion()
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print(f" Base Capacity: {calculation['base_capacity']}")
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print(f" Expanded Capacity: {calculation['expanded_capacity']}")
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print(f" Expansion Factor: {calculation['expansion_factor']:.2f}x")
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print(f" Total Multiplier: {calculation['total_multiplier']:.2f}x")
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print("\n" + "=" * 60)
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print("CPU TOPOLOGY AND WIRES ANALYSIS COMPLETE")
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print("=" * 60)
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return {
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"cpu_topology_analysis": topology_analysis,
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"cpu_wire_analysis": wire_analysis,
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"cpu_integration": integration,
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"recalculated_expansion": calculation
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}
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if __name__ == '__main__':
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analyzer = CPUTopologyWiresAnalysis()
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results = analyzer.run_analysis()
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# Save results
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output_file = OUTPUT_DIR / "cpu_topology_wires_analysis.json"
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with open(output_file, 'w') as f:
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json.dump(results, f, indent=2)
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print(f"\nAnalysis results saved to {output_file}")
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# Print summary
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print("\n" + "=" * 60)
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print("CPU TOPOLOGY AND WIRES SUMMARY")
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print("=" * 60)
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print(f"Total Devices: {results['cpu_integration']['total_devices']}")
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print(f"CPU Significance Score: {results['cpu_integration']['significance_score']}")
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print(f"Expanded Capacity: {results['recalculated_expansion']['expanded_capacity']}")
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print(f"Expansion Factor: {results['recalculated_expansion']['expansion_factor']:.2f}x")
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