<SYSTEM_TASK:>
Solve the following problem using Python, implementing the functions described below, one line at a time
<END_TASK>
<USER_TASK:>
Description:
 def compute_responsibilities(hdf5_file, N_columns, damping, N_processes):
 """Organize the computation and update of the responsibility matrix for Affinity Propagation clustering with 'damping' as the eponymous damping parameter. Each of the processes concurrently involved in this task is an instance of the class 'Responsibilities_worker' defined above. """


    slice_queue = multiprocessing.JoinableQueue()
    
    pid_list = []
    for i in range(N_processes):
        worker = Responsibilities_worker(hdf5_file, '/aff_prop_group',
                   N_columns, damping, slice_queue)
        worker.daemon = True
        worker.start()
        pid_list.append(worker.pid)
        
    for rows_slice in chunk_generator(N_columns, 8 * N_processes):
        slice_queue.put(rows_slice)
        
    slice_queue.join()
    slice_queue.close()
    
    terminate_processes(pid_list)