code: def start_parallel(self):
          
          self.num_processes = get_num_processes()
  
          self.task_queue = multiprocessing.Queue(maxsize=Q_MAX_SIZE)
          self.result_queue = multiprocessing.Queue()
          self.log_queue = multiprocessing.Queue()
  
          # Used to signal worker processes when a result is found that allows
          # the computation to terminate early.
          self.complete = multiprocessing.Event()
  
          args = (self.compute, self.task_queue, self.result_queue,
                  self.log_queue, self.complete) + self.context
          self.processes = [
              multiprocessing.Process(target=self.worker, args=args, daemon=True)
              for i in range(self.num_processes)]
  
          for process in self.processes:
              process.start()
  
          self.log_thread = LogThread(self.log_queue)
          self.log_thread.start()
  
          self.initialize_tasks()
docs: Initialize all queues and start the worker processes and the log
          thread.