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"""
Command processor for handling GPU commands including thread management.
"""
from typing import Dict, Any, List
from threading import Lock
import time
class CommandProcessor:
def __init__(self, hal, memory_manager):
self.hal = hal
self.memory_manager = memory_manager
self.command_queue = []
self.queue_lock = Lock()
def add_command(self, command_type: str, **kwargs):
"""Add a command to the queue"""
with self.queue_lock:
self.command_queue.append({
"type": command_type,
"params": kwargs,
"timestamp": time.time_ns()
})
def clear_commands(self):
"""Clear all pending commands"""
with self.queue_lock:
self.command_queue.clear()
def submit_commands(self, chip_id: int = 0):
"""Submit and execute all queued commands"""
results = []
with self.queue_lock:
for cmd in self.command_queue:
if cmd["type"] == "execute_kernel":
result = self._execute_kernel_command(cmd["params"])
elif cmd["type"] == "block_barrier":
result = self._handle_block_barrier(cmd["params"])
elif cmd["type"] == "core_barrier":
result = self._handle_core_barrier(cmd["params"])
elif cmd["type"] == "matmul":
result = self._handle_matmul(cmd["params"])
elif cmd["type"] == "global_barrier":
result = self._handle_global_barrier(cmd["params"])
else:
result = {"status": "error", "message": f"Unknown command type: {cmd['type']}"}
results.append(result)
self.command_queue.clear()
return results
def _execute_kernel_command(self, params: Dict[str, Any]):
"""Execute a kernel across thread blocks"""
try:
chip_id = params["chip_id"]
sm_id = params["sm_id"]
core_id = params["core_id"]
thread_config = params["thread_block_config"]
kernel_func = params["kernel_func"]
args = params.get("args", [])
kwargs = params.get("kwargs", {})
# Create thread blocks
blocks_per_grid = (
thread_config['grid_dim'][0] *
thread_config['grid_dim'][1] *
thread_config['grid_dim'][2]
)
threads_per_block = (
thread_config['block_dim'][0] *
thread_config['block_dim'][1] *
thread_config['block_dim'][2]
)
# Initialize blocks
blocks = []
for block_idx in range(blocks_per_grid):
block = {
'id': block_idx,
'threads': threads_per_block,
'shared_memory_size': thread_config['shared_memory_size'],
'results': []
}
blocks.append(block)
# Execute kernel across blocks
for block in blocks:
# Execute threads in the block
for thread_idx in range(block['threads']):
thread_id = block['id'] * block['threads'] + thread_idx
try:
result = kernel_func(
thread_id=thread_id,
block_id=block['id'],
*args,
**kwargs
)
block['results'].append({
'thread_id': thread_id,
'result': result,
'status': 'success'
})
except Exception as e:
block['results'].append({
'thread_id': thread_id,
'error': str(e),
'status': 'error'
})
return {
'status': 'success',
'blocks_executed': len(blocks),
'total_threads': blocks_per_grid * threads_per_block,
'results': [b['results'] for b in blocks]
}
except Exception as e:
return {
'status': 'error',
'message': f'Kernel execution failed: {str(e)}'
}
def _handle_block_barrier(self, params: Dict[str, Any]):
"""Handle block-level thread synchronization"""
try:
chip_id = params["chip_id"]
sm_id = params["sm_id"]
core_id = params["core_id"]
block_id = params["block_id"]
# Signal barrier in hardware
self.hal.block_barrier(chip_id, sm_id, core_id, block_id)
return {
'status': 'success',
'message': f'Block barrier completed for block {block_id}'
}
except Exception as e:
return {
'status': 'error',
'message': f'Block barrier failed: {str(e)}'
}
def _handle_core_barrier(self, params: Dict[str, Any]):
"""Handle core-level thread synchronization"""
try:
chip_id = params["chip_id"]
sm_id = params["sm_id"]
core_id = params["core_id"]
# Signal barrier in hardware
self.hal.core_barrier(chip_id, sm_id, core_id)
return {
'status': 'success',
'message': f'Core barrier completed for core {core_id}'
}
except Exception as e:
return {
'status': 'error',
'message': f'Core barrier failed: {str(e)}'
}
def _handle_matmul(self, params: Dict[str, Any]):
"""Handle matrix multiplication command"""
try:
return self.hal.matmul(
params["chip_id"],
params["sm_id"],
params["A"],
params["B"]
)
except Exception as e:
return {
'status': 'error',
'message': f'Matrix multiplication failed: {str(e)}'
}
def _handle_global_barrier(self, params: Dict[str, Any]):
"""Handle global synchronization across all threads"""
try:
chip_id = params["chip_id"]
# Signal global barrier in hardware
self.hal.global_barrier(chip_id)
return {
'status': 'success',
'message': f'Global barrier completed for chip {chip_id}'
}
except Exception as e:
return {
'status': 'error',
'message': f'Global barrier failed: {str(e)}'
}
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