""" Enhanced CPU Module with Massive Grid Architecture This module implements a scalable CPU architecture supporting: - 2000 CPUs in specialized groups * UI/Display (0-499) * Computation (500-999) * I/O & Storage (1000-1499) * System Tasks (1500-1999) - Each CPU: * 50 physical cores * 100 threads per core - Features: * Virtual device management * Memory management and paging * Direct virtual disk communication * Real-time scheduling * State management via virtual disk * Dynamic load balancing """ import multiprocessing import threading import time import queue import numpy as np import duckdb from typing import Dict, Any, Optional, List, Union, Tuple, Protocol from dataclasses import dataclass from enum import Enum, auto from concurrent.futures import ThreadPoolExecutor import mmap import ctypes import json import struct from virtual_gpu_driver.src.driver_api import GPUError, VirtualGPUDriver from config import get_hf_token_cached # Initialize token from .env # CPU Group types class CPUGroupType(Enum): UI_DISPLAY = auto() COMPUTATION = auto() IO_STORAGE = auto() SYSTEM_TASKS = auto() @dataclass class VirtualCPU: cpu_id: int group_type: CPUGroupType core_count: int = 50 thread_count: int = 100 busy_cores: int = 0 busy_threads: int = 0 @dataclass class CPUGroup: group_type: CPUGroupType start_id: int end_id: int cpus: List[VirtualCPU] @property def total_cores(self) -> int: return len(self.cpus) * 50 @property def total_threads(self) -> int: return self.total_cores * 100 class InstructionType(Enum): MEMORY = auto() IO = auto() ARITHMETIC = auto() CONTROL = auto() @dataclass class CPUInstruction: type: InstructionType opcode: int operands: List[int] data: Optional[bytes] = None class CPURegisters: def __init__(self): self.general_purpose = [0] * 16 self.flags = 0 self.instruction_pointer = 0 self.stack_pointer = 0 class VirtualDiskManager: def __init__(self, db_path: str = "hf://datasets/Fred808/helium/storage.json"): self.db_path = db_path self.conn = self._init_db_connection() self.setup_tables() def _init_db_connection(self) -> duckdb.DuckDBPyConnection: """Initialize database connection with HuggingFace configuration""" con = duckdb.connect(self.db_path) # Configure HuggingFace access con.execute("INSTALL httpfs;") con.execute("LOAD httpfs;") con.execute("SET s3_endpoint='hf.co';") con.execute("SET s3_use_ssl=true;") con.execute("SET s3_url_style='path';") con.execute(f"SET s3_access_key_id='{self.HF_TOKEN}';") con.execute(f"SET s3_secret_access_key='{self.HF_TOKEN}';") return con def ensure_connection(self): """Ensure database connection is active, reconnect if needed""" try: self.conn.execute("SELECT 1") except: self.conn = self._init_db_connection() self.setup_tables() # Recreate tables if needed def setup_tables(self): # Create tables for CPU state management self.ensure_connection() self.conn.execute(""" CREATE TABLE IF NOT EXISTS cpu_states ( cpu_id INTEGER PRIMARY KEY, group_type VARCHAR, busy_cores INTEGER, busy_threads INTEGER, last_updated TIMESTAMP ) """) self.conn.execute(""" CREATE TABLE IF NOT EXISTS thread_tasks ( task_id INTEGER PRIMARY KEY, cpu_id INTEGER, core_id INTEGER, thread_id INTEGER, instruction_data BLOB, status VARCHAR, created_at TIMESTAMP, started_at TIMESTAMP, completed_at TIMESTAMP ) """) def update_cpu_state(self, cpu: VirtualCPU): self.conn.execute(""" INSERT OR REPLACE INTO cpu_states VALUES (?, ?, ?, ?, current_timestamp) """, [cpu.cpu_id, cpu.group_type.name, cpu.busy_cores, cpu.busy_threads]) def get_cpu_state(self, cpu_id: int) -> Optional[Dict]: result = self.conn.execute(""" SELECT * FROM cpu_states WHERE cpu_id = ? """, [cpu_id]).fetchone() return dict(result) if result else None """ CPU State and Task Management """ class EnhancedCPU: """ Enhanced CPU implementation for massive grid architecture """ def __init__(self, cpu_id: int, group_type: CPUGroupType, gpu_driver: Optional[VirtualGPUDriver] = None): self.virtual_cpu = VirtualCPU( cpu_id=cpu_id, group_type=group_type ) self.registers = CPURegisters() self.memory = mmap.mmap(-1, 1024 * 1024 * 1024) # 1GB virtual memory per CPU self.instruction_queue = queue.Queue() self.thread_pool = ThreadPoolExecutor(max_workers=self.virtual_cpu.core_count * self.virtual_cpu.thread_count) self.disk_manager = VirtualDiskManager() self.running = True # GPU driver is injected to allow sharing across CPUs self.gpu_driver = gpu_driver self._initialize_cpu() def _initialize_cpu(self): """Initialize the CPU and start processing threads""" self.disk_manager.update_cpu_state(self.virtual_cpu) for _ in range(self.virtual_cpu.core_count): self.thread_pool.submit(self._process_core_tasks) def _process_core_tasks(self): """Process tasks on a CPU core using its threads""" while self.running: try: instruction = self.instruction_queue.get(timeout=0.1) if instruction: self.virtual_cpu.busy_cores += 1 thread_futures = [] # Distribute work across threads for _ in range(self.virtual_cpu.thread_count): future = self.thread_pool.submit( self._process_instruction, instruction ) thread_futures.append(future) self.virtual_cpu.busy_threads += 1 # Wait for all threads to complete for future in thread_futures: future.result() self.virtual_cpu.busy_threads -= 1 self.virtual_cpu.busy_cores -= 1 self.disk_manager.update_cpu_state(self.virtual_cpu) except queue.Empty: continue except Exception as e: print(f"Error processing task on CPU {self.virtual_cpu.cpu_id}: {e}") def _process_instruction(self, instruction: CPUInstruction): """Process a single instruction on a thread""" try: if instruction.type == InstructionType.MEMORY: self._handle_memory_instruction(instruction) elif instruction.type == InstructionType.IO: self._handle_io_instruction(instruction) elif instruction.type == InstructionType.ARITHMETIC: self._handle_arithmetic_instruction(instruction) elif instruction.type == InstructionType.CONTROL: self._handle_control_instruction(instruction) except Exception as e: print(f"Error processing instruction on CPU {self.virtual_cpu.cpu_id}: {e}") def _handle_memory_instruction(self, instruction: CPUInstruction): """Handle memory-related instructions""" if instruction.opcode == 0x01: # READ address = instruction.operands[0] size = instruction.operands[1] self.memory.seek(address) data = self.memory.read(size) return data elif instruction.opcode == 0x02: # WRITE address = instruction.operands[0] self.memory.seek(address) self.memory.write(instruction.data) def _handle_io_instruction(self, instruction: CPUInstruction): """Handle I/O instructions using virtual disk and GPU for UI group""" if self.virtual_cpu.group_type == CPUGroupType.UI_DISPLAY: # Handle GPU-related I/O for UI/Display CPUs if instruction.opcode == 0x03: # GPU_WRITE return self._handle_gpu_instruction(instruction) # Handle regular I/O if instruction.opcode == 0x01: # READ data = self.disk_manager.get_cpu_state(instruction.operands[0]) return data elif instruction.opcode == 0x02: # WRITE self.disk_manager.update_cpu_state(self.virtual_cpu) def _handle_gpu_instruction(self, instruction: CPUInstruction): """Handle GPU instructions through driver API""" try: cmd_type = instruction.operands[0] cmd_data = instruction.data # Handle based on CPU group type and command if self.virtual_cpu.group_type == CPUGroupType.UI_DISPLAY: # UI/Display optimized for graphics operations if cmd_type == 0x01: # RENDER return self.gpu_driver.render_frame(cmd_data) elif cmd_type == 0x02: # UPDATE_FRAMEBUFFER return self.gpu_driver.update_framebuffer(cmd_data) elif cmd_type == 0x03: # PRESENT return self.gpu_driver.present_frame() elif self.virtual_cpu.group_type == CPUGroupType.COMPUTATION: # Computation group optimized for GPGPU tasks if cmd_type == 0x04: # LAUNCH_KERNEL return self.gpu_driver.launch_compute_kernel(cmd_data) elif cmd_type == 0x05: # TENSOR_OP return self.gpu_driver.execute_tensor_operation(cmd_data) elif self.virtual_cpu.group_type == CPUGroupType.IO_STORAGE: # I/O group optimized for data transfer if cmd_type == 0x06: # GPU_MEMORY_TRANSFER return self.gpu_driver.transfer_memory(cmd_data) elif cmd_type == 0x07: # GPU_BUFFER_OPERATION return self.gpu_driver.manage_buffer(cmd_data) elif self.virtual_cpu.group_type == CPUGroupType.SYSTEM_TASKS: # System tasks group for management operations if cmd_type == 0x08: # GPU_POWER_MANAGEMENT return self.gpu_driver.manage_power_state(cmd_data) elif cmd_type == 0x09: # GPU_SCHEDULER return self.gpu_driver.schedule_tasks(cmd_data) # Common operations for all groups if cmd_type == 0x0A: # SYNC return self.gpu_driver.sync_gpu_state() elif cmd_type == 0x0B: # QUERY_STATE return self.gpu_driver.query_gpu_state() raise GPUError(f"Unsupported GPU operation {hex(cmd_type)} for CPU group {self.virtual_cpu.group_type}") except Exception as e: print(f"GPU instruction error on CPU {self.virtual_cpu.cpu_id}: {e}") return {'status': 'error', 'message': str(e)} def _handle_arithmetic_instruction(self, instruction: CPUInstruction): """Handle arithmetic operations""" if instruction.opcode == 0x01: # ADD result = instruction.operands[0] + instruction.operands[1] self.registers.general_purpose[0] = result elif instruction.opcode == 0x02: # SUB result = instruction.operands[0] - instruction.operands[1] self.registers.general_purpose[0] = result def _handle_control_instruction(self, instruction: CPUInstruction): """Handle control flow instructions""" if instruction.opcode == 0x01: # JUMP self.registers.instruction_pointer = instruction.operands[0] elif instruction.opcode == 0x02: # CALL self.registers.stack_pointer -= 8 self.memory.seek(self.registers.stack_pointer) self.memory.write(self.registers.instruction_pointer.to_bytes(8, 'little')) self.registers.instruction_pointer = instruction.operands[0] def shutdown(self): """Gracefully shutdown the CPU""" self.running = False self.thread_pool.shutdown(wait=True) self.disk_manager.update_cpu_state(self.virtual_cpu) class CPUGrid: """Manages the 2000 CPU grid system""" def __init__(self): self.groups = { CPUGroupType.UI_DISPLAY: CPUGroup( group_type=CPUGroupType.UI_DISPLAY, start_id=0, end_id=499, cpus=[] ), CPUGroupType.COMPUTATION: CPUGroup( group_type=CPUGroupType.COMPUTATION, start_id=500, end_id=999, cpus=[] ), CPUGroupType.IO_STORAGE: CPUGroup( group_type=CPUGroupType.IO_STORAGE, start_id=1000, end_id=1499, cpus=[] ), CPUGroupType.SYSTEM_TASKS: CPUGroup( group_type=CPUGroupType.SYSTEM_TASKS, start_id=1500, end_id=1999, cpus=[] ) } self.initialize_grid() def initialize_grid(self): """Initialize all 2000 CPUs in their respective groups""" for group_type, group in self.groups.items(): for cpu_id in range(group.start_id, group.end_id + 1): cpu = EnhancedCPU(cpu_id, group_type) group.cpus.append(cpu.virtual_cpu) def get_cpu(self, cpu_id: int) -> Optional[EnhancedCPU]: """Get a CPU by its ID""" for group in self.groups.values(): if group.start_id <= cpu_id <= group.end_id: return next( (cpu for cpu in group.cpus if cpu.cpu_id == cpu_id), None ) return None def get_available_cpu(self, group_type: CPUGroupType) -> Optional[EnhancedCPU]: """Get a CPU with available cores in the specified group""" group = self.groups[group_type] for cpu in group.cpus: if cpu.busy_cores < cpu.core_count: return cpu return None def shutdown(self): """Gracefully shutdown all CPUs""" for group in self.groups.values(): for cpu in group.cpus: cpu.shutdown() # Initialize CPU components self._initialize_cpu_components() def _initialize_cpu_components(self): """Initialize core CPU components""" self.cores = [] for i in range(50): # 50 physical cores core = { 'id': i, 'threads': [], 'cache': { 'L1': bytearray(32 * 1024), # 32KB L1 cache 'L2': bytearray(256 * 1024), # 256KB L2 cache 'L3': bytearray(2 * 1024 * 1024) # 2MB L3 cache per core } } for j in range(2): # 2 threads per core thread = { 'id': j, 'registers': CPURegisters(), 'state': 'idle' } core['threads'].append(thread) self.cores.append(core) def schedule_instruction(self, instruction: CPUInstruction): """Schedule an instruction for execution on this CPU""" self.instruction_queue.put(instruction) self._set_efer_lme() # Enable paging self._enable_paging() def get_status(self) -> dict: """Get the current status of this CPU""" return { 'cpu_id': self.virtual_cpu.cpu_id, 'group_type': self.virtual_cpu.group_type.name, 'busy_cores': self.virtual_cpu.busy_cores, 'busy_threads': self.virtual_cpu.busy_threads, 'total_cores': self.virtual_cpu.core_count, 'total_threads': self.virtual_cpu.thread_count } """Core CPU Components""" """Enhanced CPU Core Management""" class EnhancedCore: """Enhanced CPU Core implementation""" def __init__(self, core_id: int, thread_count: int = 2): super().__init__() self.core_id = core_id self.thread_count = thread_count self.threads = [] self.thread_states = {} self.cache_l1 = {} self.cache_l2 = {} self.instruction_buffer = queue.Queue() self.power_state = "active" # Initialize threads self._init_threads() def _init_threads(self): """Initialize core threads""" for i in range(self.thread_count): thread = threading.Thread( target=self._thread_loop, args=(i,), daemon=True ) self.threads.append(thread) self.thread_states[i] = { "registers": CPURegisters(), "status": "ready", "priority": 0 } thread.start() def _thread_loop(self, thread_id: int): """Main thread execution loop""" while self.running: if self.power_state == "sleep": time.sleep(0.1) continue try: instruction = self.instruction_buffer.get(timeout=0.1) self._process_instruction(instruction, thread_id) except queue.Empty: continue def _process_instruction(self, instruction: CPUInstruction, thread_id: int): """Process a CPU instruction""" registers = self.thread_states[thread_id]["registers"] try: if instruction.type == "memory": self._handle_memory_instruction(instruction, registers) elif instruction.type == "io": self._handle_io_instruction(instruction, registers) elif instruction.type == "arithmetic": self._handle_arithmetic_instruction(instruction, registers) elif instruction.type == "control": self._handle_control_instruction(instruction, registers) except Exception as e: self._handle_exception(e, thread_id) def _handle_memory_instruction(self, instruction: CPUInstruction, registers: CPURegisters): """Handle memory-related instructions""" if instruction.operation == "load": # Check L1 cache if instruction.address in self.cache_l1: registers.eax = self.cache_l1[instruction.address] return # Check L2 cache if instruction.address in self.cache_l2: value = self.cache_l2[instruction.address] self.cache_l1[instruction.address] = value registers.eax = value return # Load from main memory value = self.memory[instruction.address] self.cache_l1[instruction.address] = value self.cache_l2[instruction.address] = value registers.eax = value elif instruction.operation == "store": # Write-through policy self.memory[instruction.address] = registers.eax self.cache_l1[instruction.address] = registers.eax self.cache_l2[instruction.address] = registers.eax def _handle_io_instruction(self, instruction: CPUInstruction, registers: CPURegisters): """Handle I/O instructions""" if instruction.operation == "in": value = self._execute_in(instruction.port) registers.eax = value elif instruction.operation == "out": self._execute_out(instruction.port, registers.eax) def _handle_arithmetic_instruction(self, instruction: CPUInstruction, registers: CPURegisters): """Handle arithmetic instructions""" if instruction.operation == "add": registers.eax = registers.eax + registers.ebx elif instruction.operation == "sub": registers.eax = registers.eax - registers.ebx elif instruction.operation == "mul": registers.eax = registers.eax * registers.ebx elif instruction.operation == "div": if registers.ebx != 0: registers.eax = registers.eax // registers.ebx else: raise Exception("Division by zero") def _handle_control_instruction(self, instruction: CPUInstruction, registers: CPURegisters): """Handle control flow instructions""" if instruction.operation == "jump": registers.eip = instruction.address elif instruction.operation == "call": # Save return address registers.esp -= 4 self.memory[registers.esp] = registers.eip registers.eip = instruction.address elif instruction.operation == "ret": registers.eip = self.memory[registers.esp] registers.esp += 4 def _handle_exception(self, exception: Exception, thread_id: int): """Handle CPU exceptions""" self.thread_states[thread_id]["status"] = "error" # Log exception and potentially trigger interrupt def schedule_instruction(self, instruction: CPUInstruction): """Schedule an instruction for execution""" self.instruction_buffer.put(instruction) def set_power_state(self, state: str): """Set core power state""" self.power_state = state def flush_caches(self): """Flush all core caches""" self.cache_l1.clear() self.cache_l2.clear() class EnhancedCPU: """Main Enhanced CPU Implementation""" def __init__(self, core_count: int = 50, threads_per_core: int = 2): self.cores = [] self.core_count = core_count self.threads_per_core = threads_per_core self.scheduler = self._init_scheduler() self.memory_controller = self._init_memory_controller() self.interrupt_controller = self._init_interrupt_controller() self.power_manager = self._init_power_manager() # Initialize cores self._init_cores() def _init_cores(self): """Initialize CPU cores""" for i in range(self.core_count): core = EnhancedCore(i, self.threads_per_core) self.cores.append(core) def _init_scheduler(self): """Initialize task scheduler""" return ThreadPoolExecutor( max_workers=self.core_count * self.threads_per_core ) def _init_memory_controller(self): """Initialize memory controller""" return { "page_table": {}, "free_pages": set(range(1024)), # 1024 pages initially "page_size": 4096 # 4KB pages } def _init_interrupt_controller(self): """Initialize interrupt controller""" return { "handlers": {}, "pending": queue.Queue(), "masked": set() } def _init_power_manager(self): """Initialize power management""" return { "power_states": {}, "thermal_data": {}, "frequency_scaling": {} } def schedule_task(self, task: callable, *args, **kwargs): """Schedule a task for execution""" return self.scheduler.submit(task, *args, **kwargs) def handle_interrupt(self, interrupt_number: int): """Handle an interrupt""" if interrupt_number in self.interrupt_controller["masked"]: return handler = self.interrupt_controller["handlers"].get(interrupt_number) if handler: self.schedule_task(handler) def allocate_memory(self, size: int) -> Optional[int]: """Allocate memory pages""" pages_needed = (size + self.memory_controller["page_size"] - 1) // self.memory_controller["page_size"] if len(self.memory_controller["free_pages"]) < pages_needed: return None allocated_pages = [] for _ in range(pages_needed): page = self.memory_controller["free_pages"].pop() allocated_pages.append(page) start_address = allocated_pages[0] * self.memory_controller["page_size"] # Update page table for i, page in enumerate(allocated_pages): self.memory_controller["page_table"][start_address + i * self.memory_controller["page_size"]] = page return start_address def set_power_state(self, state: str): """Set CPU power state""" for core in self.cores: core.set_power_state(state) def cleanup(self): """Cleanup CPU resources""" for core in self.cores: core.running = False self.scheduler.shutdown() """Virtual Thread Management""" @dataclass class VirtualThread: """Represents a virtual thread running on a CPU core.""" thread_id: int core_id: int program_counter: int = 0 stack_pointer: int = 255 registers: Dict[str, int] = None status: str = "ready" # ready, running, waiting, terminated priority: int = 1 def __post_init__(self): if self.registers is None: self.registers = {"AX": 0, "BX": 0, "CX": 0, "DX": 0} class ThreadScheduler: """Simple round-robin thread scheduler for virtual threads.""" def __init__(self, max_threads_per_core: int = 2): self.max_threads_per_core = max_threads_per_core self.threads: Dict[int, List[VirtualThread]] = {} # core_id -> list of threads self.current_thread_index: Dict[int, int] = {} # core_id -> current thread index self.thread_counter = 0 def create_thread(self, core_id: int, program_counter: int = 0) -> int: """Create a new virtual thread on the specified core.""" if core_id not in self.threads: self.threads[core_id] = [] self.current_thread_index[core_id] = 0 if len(self.threads[core_id]) >= self.max_threads_per_core: return -1 # Core is at thread capacity thread_id = self.thread_counter self.thread_counter += 1 thread = VirtualThread( thread_id=thread_id, core_id=core_id, program_counter=program_counter ) self.threads[core_id].append(thread) return thread_id def get_current_thread(self, core_id: int) -> Optional[VirtualThread]: """Get the currently scheduled thread for a core.""" if core_id not in self.threads or not self.threads[core_id]: return None threads = self.threads[core_id] current_index = self.current_thread_index[core_id] if current_index < len(threads): return threads[current_index] return None def schedule_next_thread(self, core_id: int) -> Optional[VirtualThread]: """Schedule the next thread for execution on a core.""" if core_id not in self.threads or not self.threads[core_id]: return None threads = self.threads[core_id] if not threads: return None # Round-robin scheduling self.current_thread_index[core_id] = (self.current_thread_index[core_id] + 1) % len(threads) return self.get_current_thread(core_id) def terminate_thread(self, thread_id: int) -> bool: """Terminate a virtual thread.""" for core_id, threads in self.threads.items(): for i, thread in enumerate(threads): if thread.thread_id == thread_id: thread.status = "terminated" threads.pop(i) # Adjust current thread index if necessary if self.current_thread_index[core_id] >= len(threads): self.current_thread_index[core_id] = 0 return True return False def get_thread_count(self, core_id: int) -> int: """Get the number of active threads on a core.""" return len(self.threads.get(core_id, [])) def get_total_thread_count(self) -> int: """Get the total number of active threads across all cores.""" return sum(len(threads) for threads in self.threads.values()) class EnhancedCore: """Enhanced CPU Core with massive threading support.""" def __init__(self, core_id: int): self.core_id = core_id self.instruction_buffer = queue.Queue() self.thread_pool = ThreadPoolExecutor(max_workers=100) # 100 threads per core self.running = True self.power_state = "active" self.threads = [] self.busy_threads = 0 # Cache configuration self.cache_l1 = {} # L1 cache self.cache_l2 = {} # L2 cache # Enhanced instruction set self.cpu_instructions = { # Arithmetic Operations 'ADD', 'SUB', 'MUL', 'DIV', 'MOD', # Memory Operations 'LOAD', 'STORE', 'MOVE', 'PUSH', 'POP', # Control Operations 'JUMP', 'BRANCH', 'CALL', 'RETURN', # Thread Operations 'THREAD_CREATE', 'THREAD_EXIT', 'THREAD_YIELD', 'THREAD_JOIN', # Synchronization 'LOCK', 'UNLOCK', 'ATOMIC_ADD', 'ATOMIC_CAS' } # Initialize threads self._init_threads() def _init_threads(self): """Initialize core threads""" for i in range(100): # 100 threads per core thread = { 'id': i, 'status': 'ready', 'registers': CPURegisters(), 'priority': 0 } self.threads.append(thread) def create_thread(self) -> int: """Create a new thread on this core""" for thread in self.threads: if thread['status'] == 'ready': thread['status'] = 'running' self.busy_threads += 1 return thread['id'] return -1 def get_status(self) -> dict: """Get core status""" return { 'core_id': self.core_id, 'power_state': self.power_state, 'total_threads': len(self.threads), 'busy_threads': self.busy_threads } def create_virtual_thread(self, program_counter: int = 0) -> int: """Create a new virtual thread on this core.""" return self.thread_scheduler.create_thread(self.core_id, program_counter) def execute_with_threading(self, instruction): """Execute instruction with threading support.""" current_thread = self.thread_scheduler.get_current_thread(self.core_id) if current_thread is None: # No threads, execute normally return self.execute(instruction) # Save current core state to thread current_thread.registers["AX"] = self.AX current_thread.registers["BX"] = self.BX current_thread.registers["CX"] = self.CX current_thread.registers["DX"] = self.DX current_thread.program_counter = self.PC current_thread.stack_pointer = self.SP # Execute instruction result = self.execute(instruction) # Restore thread state to core self.AX = current_thread.registers["AX"] self.BX = current_thread.registers["BX"] self.CX = current_thread.registers["CX"] self.DX = current_thread.registers["DX"] self.PC = current_thread.program_counter self.SP = current_thread.stack_pointer return result def execute(self, instruction): """Enhanced execute method with advanced CPU instruction support.""" op = instruction.get("op") # Handle standard CPU instructions if op in self.cpu_instructions: return self._execute_cpu_instruction(instruction) raise ValueError(f"Unknown instruction operation: {op}") # Handle enhanced CPU instructions if op in self.cpu_instructions: return self._execute_enhanced_cpu_instruction(instruction) # Handle regular CPU instructions return super().execute(instruction) def _execute_vram_instruction(self, instruction): """Execute VRAM-specific instructions.""" op = instruction.get("op") try: if op == 'VRAM_ALLOC': size = instruction.get('size', 0) block_id = self.vram_interface.allocate_memory(size) self.vram_blocks[block_id] = size self.AX = hash(block_id) & 0xFFFF # Store block ID hash in AX elif op == 'VRAM_FREE': block_id_hash = instruction.get('block_id_hash', self.AX) block_id = next((bid for bid in self.vram_blocks if (hash(bid) & 0xFFFF) == block_id_hash), None) if block_id and self.vram_interface.free_memory(block_id): del self.vram_blocks[block_id] self.ZF = 1 # Success else: self.ZF = 0 # Failure elif op == 'VRAM_WRITE': block_id_hash = instruction.get('block_id_hash', self.AX) data = instruction.get('data') block_id = next((bid for bid in self.vram_blocks if (hash(bid) & 0xFFFF) == block_id_hash), None) if block_id and isinstance(data, np.ndarray): success = self.vram_interface.write_memory(block_id, data) self.ZF = 1 if success else 0 else: self.ZF = 0 elif op == 'VRAM_READ': block_id_hash = instruction.get('block_id_hash', self.AX) block_id = next((bid for bid in self.vram_blocks if (hash(bid) & 0xFFFF) == block_id_hash), None) if block_id: data = self.vram_interface.read_memory(block_id) if data is not None: self.ZF = 1 # Store data size in registers self.AX = data.nbytes & 0xFFFF self.BX = (data.nbytes >> 16) & 0xFFFF else: self.ZF = 0 else: self.ZF = 0 elif op == 'VRAM_MAP': block_id_hash = instruction.get('block_id_hash', self.AX) virtual_addr = instruction.get('virtual_addr', 0) block_id = next((bid for bid in self.vram_blocks if (hash(bid) & 0xFFFF) == block_id_hash), None) if block_id and self.vram_interface.map_memory(block_id, virtual_addr): self.virtual_memory_map[virtual_addr] = block_id self.ZF = 1 else: self.ZF = 0 elif op == 'VRAM_UNMAP': virtual_addr = instruction.get('virtual_addr', 0) if virtual_addr in self.virtual_memory_map: if self.vram_interface.unmap_memory(virtual_addr): del self.virtual_memory_map[virtual_addr] self.ZF = 1 else: self.ZF = 0 else: self.ZF = 0 elif op == 'VRAM_COPY': src_hash = instruction.get('src_block_hash', self.AX) dst_hash = instruction.get('dst_block_hash', self.BX) src_id = next((bid for bid in self.vram_blocks if (hash(bid) & 0xFFFF) == src_hash), None) dst_id = next((bid for bid in self.vram_blocks if (hash(bid) & 0xFFFF) == dst_hash), None) if src_id and dst_id: data = self.vram_interface.read_memory(src_id) if data is not None: success = self.vram_interface.write_memory(dst_id, data) self.ZF = 1 if success else 0 else: self.ZF = 0 else: self.ZF = 0 elif op == 'VRAM_ZERO': block_id_hash = instruction.get('block_id_hash', self.AX) block_id = next((bid for bid in self.vram_blocks if (hash(bid) & 0xFFFF) == block_id_hash), None) if block_id: size = self.vram_blocks[block_id] zero_data = np.zeros(size, dtype=np.uint8) success = self.vram_interface.write_memory(block_id, zero_data) self.ZF = 1 if success else 0 else: self.ZF = 0 except Exception as e: print(f"Core {self.core_id} VRAM instruction error: {e}") self.CF = 1 # Set carry flag to indicate error def _execute_enhanced_cpu_instruction(self, instruction): """Execute enhanced CPU-specific instructions.""" op = instruction.get("op") try: # SIMD and Vector Operations if op == 'SIMD_ADD': vec_a = instruction.get('vec_a', []) vec_b = instruction.get('vec_b', []) self.AX = sum(a + b for a, b in zip(vec_a, vec_b)) & 0xFFFF elif op == 'SIMD_MUL': vec_a = instruction.get('vec_a', []) vec_b = instruction.get('vec_b', []) self.AX = sum(a * b for a, b in zip(vec_a, vec_b)) & 0xFFFF elif op == 'VECTOR_DOT': vec_a = instruction.get('vec_a', []) vec_b = instruction.get('vec_b', []) self.AX = sum(a * b for a, b in zip(vec_a, vec_b)) & 0xFFFF # Advanced Arithmetic elif op == 'FP_ADD': a = instruction.get('a', 0.0) b = instruction.get('b', 0.0) result = a + b self.AX = int(result * 1000) & 0xFFFF # Fixed-point representation elif op == 'FP_MUL': a = instruction.get('a', 0.0) b = instruction.get('b', 0.0) result = a * b self.AX = int(result * 1000) & 0xFFFF # Memory Operations elif op == 'MEM_BARRIER': # Ensure all memory operations are complete self.thread_scheduler.barrier_all_threads() elif op == 'ATOMIC_CAS': addr = instruction.get('addr', 0) old_val = instruction.get('old_val', 0) new_val = instruction.get('new_val', 0) with threading.Lock(): current = self.memory.get(addr, 0) if current == old_val: self.memory[addr] = new_val self.ZF = 1 # Success else: self.ZF = 0 # Failure # Thread Control elif op == 'THREAD_PRIORITY': thread_id = instruction.get('thread_id') priority = instruction.get('priority', 1) current_thread = self.thread_scheduler.get_current_thread(self.core_id) if current_thread and current_thread.thread_id == thread_id: current_thread.priority = priority elif op == 'THREAD_SYNC': barrier_id = instruction.get('barrier_id', 0) thread_count = instruction.get('thread_count', 1) self.thread_scheduler.synchronize_threads(barrier_id, thread_count) # System Operations elif op == 'SYS_CALL': syscall_num = instruction.get('syscall_num', 0) args = instruction.get('args', []) self.AX = self._handle_syscall(syscall_num, args) elif op == 'POWER_MODE': mode = instruction.get('mode', 'normal') if mode == 'low_power': self.clock_speed = self.clock_speed // 2 elif mode == 'turbo': self.clock_speed = self.clock_speed * 2 except Exception as e: print(f"Core {self.core_id} enhanced CPU instruction error: {e}") self.CF = 1 # Set carry flag to indicate error def setup_mmio_regions(self): """Set up memory-mapped I/O regions for QEMU device communication""" # GPU Command Buffer Region (1MB) self.mmio_regions = { 'gpu_cmd': { 'base_addr': 0xF0000000, 'size': 1024 * 1024, 'buffer': bytearray(1024 * 1024) }, # GPU Framebuffer Region (32MB) 'gpu_fb': { 'base_addr': 0xF1000000, 'size': 32 * 1024 * 1024, 'buffer': bytearray(32 * 1024 * 1024) }, # GPU Status Region (4KB) 'gpu_status': { 'base_addr': 0xF3000000, 'size': 4096, 'buffer': bytearray(4096) } } def write_mmio(self, addr: int, data: bytes): """Handle MMIO writes from QEMU""" for region_name, region in self.mmio_regions.items(): if region['base_addr'] <= addr < region['base_addr'] + region['size']: offset = addr - region['base_addr'] region['buffer'][offset:offset + len(data)] = data return True return False def read_mmio(self, addr: int, size: int) -> Optional[bytes]: """Handle MMIO reads from QEMU""" for region in self.mmio_regions.values(): if region['base_addr'] <= addr < region['base_addr'] + region['size']: offset = addr - region['base_addr'] return bytes(region['buffer'][offset:offset + size]) return None def handle_mmio_interrupt(self): """Handle interrupts from MMIO devices""" status_region = self.mmio_regions['gpu_status'] if status_region['buffer'][0] != 0: # GPU has completed a command - clear interrupt status_region['buffer'][0] = 0 # Process any CPU-side effects self.CF = 0 # Clear carry flag to indicate success def run_with_threading(self): """Enhanced run method with threading support.""" # Create initial threads if none exist if self.thread_scheduler.get_total_thread_count() == 0: self.create_virtual_thread(0) # Create at least one thread time_slice = 0.01 # 10ms time slice per thread while True: current_thread = self.thread_scheduler.get_current_thread(self.core_id) if current_thread is None: break # No threads to execute if current_thread.status == "terminated": self.thread_scheduler.schedule_next_thread(self.core_id) continue # Execute instructions for current thread start_time = time.time() instruction_count = 0 while (time.time() - start_time) < time_slice and instruction_count < 100: try: instruction = self.fetch() decoded_instruction = self.decode(instruction) self.execute_with_threading(decoded_instruction) if decoded_instruction and decoded_instruction.get('op') == 'HLT': current_thread.status = "terminated" break instruction_count += 1 except Exception as e: print(f"Core {self.core_id} Thread {current_thread.thread_id} error: {e}") current_thread.status = "terminated" break # Schedule next thread self.thread_scheduler.schedule_next_thread(self.core_id) # Small delay to prevent busy waiting time.sleep(0.001) class EnhancedMultiCoreCPU: """Enhanced multi-core CPU implementation supporting massive threading.""" def __init__(self, cpu_id: int, group_type: CPUGroupType): self.cpu_id = cpu_id self.group_type = group_type self.cores = [] self.total_cores = 50 # Physical cores self.threads_per_core = 100 # Hardware threads per core # Create cores for i in range(self.total_cores): self.cores.append(EnhancedCore(i)) # Threading statistics self.total_threads = 0 self.busy_cores = 0 self.busy_threads = 0 def create_threads(self): """Create virtual threads on all cores.""" for core in self.cores: for _ in range(self.threads_per_core): if core.create_thread() != -1: self.total_threads += 1 return self.total_threads def get_status(self) -> dict: """Get CPU status including core and thread utilization.""" active_threads = 0 active_cores = 0 for core in self.cores: core_status = core.get_status() active_cores += 1 if core_status['busy_threads'] > 0 else 0 active_threads += core_status['busy_threads'] return { 'cpu_id': self.cpu_id, 'group_type': self.group_type.name, 'total_cores': self.total_cores, 'active_cores': active_cores, 'total_threads': self.total_threads, 'active_threads': active_threads } def __str__(self): status = self.get_status() return (f"CPU {self.cpu_id} ({self.group_type.name}): " f"{status['active_cores']}/{self.total_cores} cores, " f"{status['active_threads']}/{self.total_threads} threads")