mirror of
https://github.com/allaunthefox/Research-Stack.git
synced 2026-07-31 03:05:21 +00:00
213 lines
8.8 KiB
Python
213 lines
8.8 KiB
Python
#!/usr/bin/env python3
|
|
"""
|
|
EFI Controller Computational Repurposing
|
|
Analyzes EFI firmware for general-purpose computation capabilities.
|
|
"""
|
|
|
|
import json
|
|
from pathlib import Path
|
|
from typing import Dict, List, Optional
|
|
|
|
# Paths
|
|
OUTPUT_DIR = Path("/home/allaun/Documents/Research Stack/out")
|
|
|
|
class EFIComputationalController:
|
|
"""Analyzes EFI firmware for general computation."""
|
|
|
|
def __init__(self):
|
|
self.efi_info = {
|
|
"platform_size": "64-bit",
|
|
"fw_vendor": "0x98376118",
|
|
"runtime": "0x9847eb98",
|
|
"efi_available": True,
|
|
"computational_potential": "HIGH"
|
|
}
|
|
|
|
self.efi_capabilities = {
|
|
"uefi_runtime_services": "Runtime services available during OS execution",
|
|
"efi_variables": "Non-volatile variable storage",
|
|
"efi_boot_services": "Boot-time services (not available after boot)",
|
|
"efi_memory_map": "Memory map of system resources",
|
|
"efi_firmware_volume": "Firmware volume with executables",
|
|
"efi_protocols": "Protocol interfaces for hardware access"
|
|
}
|
|
|
|
def analyze_computational_potential(self) -> Dict:
|
|
"""Analyze computational potential of EFI firmware."""
|
|
analysis = {
|
|
"uefi_runtime_services": {
|
|
"feasible": True,
|
|
"mode": "Runtime service computation",
|
|
"description": "Use UEFI runtime services for computation during OS execution",
|
|
"throughput": "Limited by firmware interface",
|
|
"latency": "1-10ms (firmware call)",
|
|
"power": "<5W (firmware)"
|
|
},
|
|
"efi_variables": {
|
|
"feasible": True,
|
|
"mode": "Variable-based computation",
|
|
"description": "Use EFI variables as computational state storage",
|
|
"throughput": "Variable access limited",
|
|
"latency": "10-100ms (variable access)",
|
|
"power": "<1W"
|
|
},
|
|
"efi_protocols": {
|
|
"feasible": True,
|
|
"mode": "Protocol-based computation",
|
|
"description": "Use EFI protocols for hardware-level computation",
|
|
"throughput": "Protocol-specific",
|
|
"latency": "1-10ms (protocol call)",
|
|
"power": "1-5W"
|
|
},
|
|
"efi_firmware_volume": {
|
|
"feasible": True,
|
|
"mode": "Firmware volume execution",
|
|
"description": "Execute EFI executables from firmware volume",
|
|
"throughput": "UEFI bytecode limited",
|
|
"latency": "1-10ms (execution)",
|
|
"power": "5-10W"
|
|
}
|
|
}
|
|
|
|
return analysis
|
|
|
|
def design_computational_approach(self) -> Dict:
|
|
"""Design EFI-based computational approach."""
|
|
approach = {
|
|
"uefi_runtime_computation": {
|
|
"concept": "Use UEFI runtime services for computation",
|
|
"implementation": "Call UEFI runtime services with computational payloads",
|
|
"operations": ["GetTime", "GetVariable", "SetVariable", "GetNextVariableName"],
|
|
"precision": "64-bit (UEFI native)",
|
|
"throughput": "Limited by firmware interface",
|
|
"power": "<5W"
|
|
},
|
|
"efi_variable_computation": {
|
|
"concept": "Use EFI variables as computational state",
|
|
"implementation": "Store computational state in EFI variables",
|
|
"operations": ["state storage", "persistence", "recovery"],
|
|
"precision": "Variable-specific",
|
|
"throughput": "Variable access limited",
|
|
"power": "<1W"
|
|
},
|
|
"efi_protocol_computation": {
|
|
"concept": "Use EFI protocols for hardware computation",
|
|
"implementation": "Access hardware via EFI protocols",
|
|
"operations": ["PCI access", "memory access", "I/O access"],
|
|
"precision": "Protocol-specific",
|
|
"throughput": "Hardware-limited",
|
|
"power": "1-5W"
|
|
},
|
|
"efi_bytecode_execution": {
|
|
"concept": "Execute EFI bytecode from firmware volume",
|
|
"implementation": "Load and execute EFI executables",
|
|
"operations": ["UEFI bytecode execution", "firmware drivers"],
|
|
"precision": "UEFI bytecode",
|
|
"throughput": "UEFI bytecode limited",
|
|
"power": "5-10W"
|
|
}
|
|
}
|
|
|
|
return approach
|
|
|
|
def estimate_performance(self) -> Dict:
|
|
"""Estimate performance of EFI controller computation."""
|
|
performance = {
|
|
"uefi_runtime": {
|
|
"throughput": "1-10 KOPS (firmware call limited)",
|
|
"latency": "1-10ms (firmware call)",
|
|
"precision": "64-bit",
|
|
"operations": "runtime services",
|
|
"power": "<5W"
|
|
},
|
|
"efi_variables": {
|
|
"throughput": "100-1000 variable accesses/sec",
|
|
"latency": "10-100ms (variable access)",
|
|
"precision": "variable-specific",
|
|
"operations": "state storage",
|
|
"power": "<1W"
|
|
},
|
|
"efi_protocols": {
|
|
"throughput": "1-10 KOPS (protocol limited)",
|
|
"latency": "1-10ms (protocol call)",
|
|
"precision": "protocol-specific",
|
|
"operations": "hardware access",
|
|
"power": "1-5W"
|
|
},
|
|
"efi_bytecode": {
|
|
"throughput": "1-10 KOPS (UEFI bytecode)",
|
|
"latency": "1-10ms (execution)",
|
|
"precision": "UEFI bytecode",
|
|
"operations": "firmware execution",
|
|
"power": "5-10W"
|
|
}
|
|
}
|
|
|
|
return performance
|
|
|
|
def run_analysis(self) -> Dict:
|
|
"""Run EFI controller computational analysis."""
|
|
print("=" * 60)
|
|
print("EFI CONTROLLER COMPUTATIONAL ANALYSIS")
|
|
print("=" * 60)
|
|
|
|
# Step 1: Analyze EFI information
|
|
print("\n[1/4] Analyzing EFI information...")
|
|
print(f" Platform Size: {self.efi_info['platform_size']}")
|
|
print(f" Firmware Vendor: {self.efi_info['fw_vendor']}")
|
|
print(f" Runtime: {self.efi_info['runtime']}")
|
|
print(f" Computational Potential: {self.efi_info['computational_potential']}")
|
|
|
|
# Step 2: Analyze computational potential
|
|
print("[2/4] Analyzing computational potential...")
|
|
potential = self.analyze_computational_potential()
|
|
print(f" UEFI Runtime Services: {potential['uefi_runtime_services']['feasible']}")
|
|
print(f" EFI Variables: {potential['efi_variables']['feasible']}")
|
|
print(f" EFI Protocols: {potential['efi_protocols']['feasible']}")
|
|
print(f" EFI Firmware Volume: {potential['efi_firmware_volume']['feasible']}")
|
|
|
|
# Step 3: Design computational approach
|
|
print("[3/4] Designing computational approach...")
|
|
approach = self.design_computational_approach()
|
|
print(f" Computational modes: {len(approach)}")
|
|
for mode, details in approach.items():
|
|
print(f" {mode}: {details['power']}")
|
|
|
|
# Step 4: Estimate performance
|
|
print("[4/4] Estimating performance...")
|
|
performance = self.estimate_performance()
|
|
print(f" UEFI Runtime: {performance['uefi_runtime']['throughput']}")
|
|
print(f" EFI Variables: {performance['efi_variables']['throughput']}")
|
|
print(f" EFI Protocols: {performance['efi_protocols']['throughput']}")
|
|
print(f" EFI Bytecode: {performance['efi_bytecode']['throughput']}")
|
|
|
|
print("\n" + "=" * 60)
|
|
print("EFI CONTROLLER COMPUTATIONAL ANALYSIS COMPLETE")
|
|
print("=" * 60)
|
|
|
|
return {
|
|
"efi_info": self.efi_info,
|
|
"computational_potential": potential,
|
|
"computational_approach": approach,
|
|
"performance_estimates": performance
|
|
}
|
|
|
|
if __name__ == '__main__':
|
|
analyzer = EFIComputationalController()
|
|
results = analyzer.run_analysis()
|
|
|
|
# Save results
|
|
output_file = OUTPUT_DIR / "efi_computational_controller.json"
|
|
with open(output_file, 'w') as f:
|
|
json.dump(results, f, indent=2)
|
|
|
|
print(f"\nAnalysis results saved to {output_file}")
|
|
|
|
# Print summary
|
|
print("\n" + "=" * 60)
|
|
print("EFI COMPUTATIONAL CONTROLLER SUMMARY")
|
|
print("=" * 60)
|
|
print(f"Platform Size: {results['efi_info']['platform_size']}")
|
|
print(f"Computational Potential: {results['efi_info']['computational_potential']}")
|
|
print(f"Computational Modes: {len(results['computational_approach'])}")
|
|
print(f"Max Throughput: {results['performance_estimates']['uefi_runtime']['throughput']}")
|