示例#1
0
args = parser.parse_args()

dt = 1e-4
dur = 1.4
Nt = int(dur / dt)

file_name = None
screen = False
if args.log.lower() in ['file', 'both']:
    file_name = 'neurokernel.log'
if args.log.lower() in ['screen', 'both']:
    screen = True
logger = base.setup_logger(file_name, screen)

if args.port_data is None and args.port_ctrl is None:
    port_data = get_random_port()
    port_ctrl = get_random_port()
else:
    port_data = args.port_data
    port_ctrl = args.port_ctrl

man = core.Manager(port_data, port_ctrl)
man.add_brok()

# Load configurations for lamina, medulla and antennal lobe models:
(n_dict_al, s_dict_al) = LPU.lpu_parser('./data/antennallobe.gexf.gz')
lpu_al = LPU(dt,
             n_dict_al,
             s_dict_al,
             input_file='./data/olfactory_input.h5',
             output_file='antennallobe_output.h5',
示例#2
0
def emulate(n_lpu, n_spike, n_gpot, steps):
    """
    Benchmark inter-LPU communication throughput.

    Each LPU is configured to use a different local GPU.

    Parameters
    ----------
    n_lpu : int
        Number of LPUs. Must be at least 2 and no greater than the number of
        local GPUs.
    n_spike : int
        Total number of input and output spiking ports any 
        single LPU exposes to any other LPU. Each LPU will therefore
        have 2*n_spike*(n_lpu-1) total spiking ports.
    n_gpot : int
        Total number of input and output graded potential ports any 
        single LPU exposes to any other LPU. Each LPU will therefore
        have 2*n_gpot*(n_lpu-1) total graded potential ports.
    steps : int
        Number of steps to execute.

    Returns
    -------
    average_throughput, total_throughput : float
        Average per-step and total received data throughput in bytes/seconds.
    exec_time : float
        Execution time in seconds.
    """

    # Time everything starting with manager initialization:
    start_all = time.time()

    # Check whether a sufficient number of GPUs are available:
    drv.init()
    if n_lpu > drv.Device.count():
        raise RuntimeError('insufficient number of available GPUs.')

    # Set up manager and broker:
    man = Manager(get_random_port(), get_random_port(), get_random_port())
    man.add_brok()

    # Generate selectors for configuring modules and patterns:
    mod_sels, pat_sels = gen_sels(n_lpu, n_spike, n_gpot)

    # Set up modules:
    for i in xrange(n_lpu):
        lpu_i = 'lpu%s' % i
        sel, sel_in, sel_out, sel_gpot, sel_spike = mod_sels[lpu_i]
        m = MyModule(sel, sel_in, sel_out,
                     sel_gpot, sel_spike,
                     port_data=man.port_data, port_ctrl=man.port_ctrl,
                     port_time=man.port_time,
                     id=lpu_i, device=i, debug=args.debug)
        man.add_mod(m)

    # Set up connections between module pairs:
    for i, j in itertools.combinations(xrange(n_lpu), 2):
        lpu_i = 'lpu%s' % i
        lpu_j = 'lpu%s' % j
        sel_from, sel_to, sel_in_i, sel_out_i, sel_gpot_i, sel_spike_i, \
            sel_in_j, sel_out_j, sel_gpot_j, sel_spike_j = pat_sels[(lpu_i, lpu_j)]
        pat = Pattern.from_concat(sel_from, sel_to,
                                  from_sel=sel_from, to_sel=sel_to, data=1)
        pat.interface[sel_in_i, 'interface', 'io'] = [0, 'in']
        pat.interface[sel_out_i, 'interface', 'io'] = [0, 'out']
        pat.interface[sel_gpot_i, 'interface', 'type'] = [0, 'gpot']
        pat.interface[sel_spike_i, 'interface', 'type'] = [0, 'spike']
        pat.interface[sel_in_j, 'interface', 'io'] = [1, 'in']
        pat.interface[sel_out_j, 'interface', 'io'] = [1, 'out']
        pat.interface[sel_gpot_j, 'interface', 'type'] = [1, 'gpot']
        pat.interface[sel_spike_j, 'interface', 'type'] = [1, 'spike']
        man.connect(man.modules[lpu_i], man.modules[lpu_j], pat, 0, 1,
                compat_check=False)

    start_main = time.time()
    man.start(steps=steps)
    man.stop()
    stop_main = time.time()
    t = man.get_throughput()
    return t[0], (time.time()-start_all), (stop_main-start_main), t[3]
示例#3
0
GEXF_FILE = 'retina.gexf.gz'
INPUT_FILE = 'vision_input.h5'
IMAGE_FILE = 'image1.mat'
OUTPUT_FILE = 'retina_output.h5'

if args.input:
    print('Generating input of model from image file')
    generate_input(INPUT_FILE, IMAGE_FILE, args.num_layers)
if args.gexf:
    print('Writing retina lpu')
    n = args.num_layers
    photoreceptor_num = 6*(3*n*(n+1)+1)
    generate_gexf(GEXF_FILE, photoreceptor_num)

if args.port_data is None and args.port_ctrl is None:
    port_data = get_random_port()
    port_ctrl = get_random_port()
else:
    port_data = args.port_data
    port_ctrl = args.port_ctrl

man = core.Manager(port_data, port_ctrl)
man.add_brok()

print('Parsing lpu data')
n_dict_ret, s_dict_ret = LPU.lpu_parser(GEXF_FILE)
print('Initializing LPU')
lpu_ret = LPU(dt, n_dict_ret, s_dict_ret,
              input_file=INPUT_FILE,
              output_file=OUTPUT_FILE, port_ctrl=port_ctrl,
              port_data=port_data, device=args.ret_dev, id='retina',
示例#4
0
def run(connected):
    if args.port_data is None and args.port_ctrl is None:
        port_data = get_random_port()
        port_ctrl = get_random_port()
    else:
        port_data = args.port_data
        port_ctrl = args.port_ctrl

    out_name = 'un' if not connected else 'co'
    man = core.Manager(port_data, port_ctrl)
    man.add_brok()

    lpu_file_0 = './data/generic_lpu_0.gexf.gz'
    lpu_file_1 = './data/generic_lpu_1.gexf.gz'
    (n_dict_0, s_dict_0) = LPU.lpu_parser(lpu_file_0)
    (n_dict_1, s_dict_1) = LPU.lpu_parser(lpu_file_1)

    ge_0_id = 'ge_0'
    ge_0 = LPU(dt, n_dict_0, s_dict_0,
               input_file='./data/generic_input_0.h5',
               output_file='generic_output_0_%s.h5' % out_name,
               port_ctrl=port_ctrl, port_data=port_data,
               device=args.gpu_dev[0], id=ge_0_id,
               debug=args.debug)
    man.add_mod(ge_0)

    ge_1_id = 'ge_1'
    ge_1 = LPU(dt, n_dict_1, s_dict_1,
               input_file='./data/generic_input_1.h5',
               output_file='generic_output_1_%s.h5' % out_name,
               port_ctrl=port_ctrl, port_data=port_data,
               device=args.gpu_dev[1], id=ge_1_id,
               debug=args.debug)
    man.add_mod(ge_1)

    # Connect the public neurons in the two LPUs:
    df_neu_0, df_syn_0 = neurokernel.tools.graph.graph_to_df(nx.read_gexf(lpu_file_0))
    df_neu_1, df_syn_1 = neurokernel.tools.graph.graph_to_df(nx.read_gexf(lpu_file_1))

    # Number of public neurons in each LPU:
    N_spike_0 = len(df_neu_0[(df_neu_0['spiking']==True)&(df_neu_0['public']==True)])
    N_gpot_0 = len(df_neu_0[(df_neu_0['spiking']==False)&(df_neu_0['public']==True)])

    N_spike_1 = len(df_neu_1[(df_neu_1['spiking']==True)&(df_neu_1['public']==True)])
    N_gpot_1 = len(df_neu_1[(df_neu_1['spiking']==False)&(df_neu_1['public']==True)])

    # Alpha function synaptic parameters:
    alphasynapse_type_params = {'AlphaSynapse': ['ad', 'ar', 'gmax', 'id', 'class', 'conductance',
                                                 'reverse']}

    if connected:
        conn = core.Connectivity(N_gpot_0, N_spike_0, N_gpot_1, N_spike_1, 1,
                                 ge_0.id, ge_1.id, alphasynapse_type_params)
        for id, (i, j) in enumerate(itertools.product(xrange(N_spike_0), xrange(N_spike_1))):
            conn[ge_0_id, 'spike', i, ge_1_id, 'spike', j] = 1
            conn[ge_0_id, 'spike', i, ge_1_id, 'spike', j, 0, 'name'] = 'int_0to1_%s_%s' % (i, j)
            conn[ge_0_id, 'spike', i, ge_1_id, 'spike', j, 0, 'model'] = 'AlphaSynapse'

            conn[ge_0_id, 'spike', i, ge_1_id, 'spike', j, 0, 'ad'] = 0.19*1000
            conn[ge_0_id, 'spike', i, ge_1_id, 'spike', j, 0, 'ar'] = 1.1*100
            conn[ge_0_id, 'spike', i, ge_1_id, 'spike', j, 0, 'class'] = 0
            conn[ge_0_id, 'spike', i, ge_1_id, 'spike', j, 0, 'conductance'] = True
            conn[ge_0_id, 'spike', i, ge_1_id, 'spike', j, 0, 'gmax'] = 0.003
            conn[ge_0_id, 'spike', i, ge_1_id, 'spike', j, 0, 'id'] = id
            conn[ge_0_id, 'spike', i, ge_1_id, 'spike', j, 0, 'reverse'] = 0.065

        man.connect(ge_0, ge_1, conn)

    man.start(steps=args.steps)
    man.stop()
示例#5
0
def run_test(m0_sel_in_gpot, m0_sel_in_spike, m0_sel_out_gpot,
             m0_sel_out_spike, m1_sel_in_gpot, m1_sel_in_spike,
             m1_sel_out_gpot, m1_sel_out_spike):

    # Create test module classes with a queue installed in the destination
    # module to check that data was correctly propagated:
    class TestModule0(TestModule):
        def __init__(self, *args, **kwargs):
            super(TestModule0, self).__init__(*args, **kwargs)
            self.q = Queue()

        def run_step(self):
            self.log_info('saving data to queue before run step')
            if self.steps > 0:
                self.q.put(
                    (self.pm['gpot'][self._out_port_dict['gpot']['m1']].copy(),
                     self.pm['spike'][self._out_port_dict['spike']
                                      ['m1']].copy()))
            super(TestModule0, self).run_step()

    class TestModule1(TestModule):
        def __init__(self, *args, **kwargs):
            super(TestModule1, self).__init__(*args, **kwargs)
            self.q = Queue()

        def run_step(self):
            super(TestModule1, self).run_step()
            self.log_info('saving data to queue after run step')
            if self.steps > 0:
                self.q.put(
                    (self.pm['gpot'][self._in_port_dict['gpot']['m0']].copy(),
                     self.pm['spike'][self._in_port_dict['spike']
                                      ['m0']].copy()))

    m0_sel_gpot = m0_sel_in_gpot + m0_sel_out_gpot
    m0_sel_spike = m0_sel_in_spike + m0_sel_out_spike
    m0_sel = m0_sel_in_gpot + m0_sel_in_spike + m0_sel_out_gpot + m0_sel_out_spike
    m0_data_gpot = np.ones(len(m0_sel_gpot), np.double)
    m0_data_spike = np.ones(len(m0_sel_spike), np.int32)

    m1_sel_gpot = m1_sel_in_gpot + m1_sel_out_gpot
    m1_sel_spike = m1_sel_in_spike + m1_sel_out_spike
    m1_sel = m1_sel_in_gpot + m1_sel_in_spike + m1_sel_out_gpot + m1_sel_out_spike
    m1_data_gpot = np.zeros(len(m1_sel_gpot), np.double)
    m1_data_spike = np.zeros(len(m1_sel_spike), np.int32)

    # Instantiate manager and broker:
    man = Manager(get_random_port(), get_random_port(), get_random_port())
    man.add_brok()

    # Add modules:
    m0 = TestModule0(m0_sel,
                     m0_sel_in_gpot,
                     m0_sel_in_spike,
                     m0_sel_out_gpot,
                     m0_sel_out_spike,
                     m0_data_gpot,
                     m0_data_spike,
                     man.port_data,
                     man.port_ctrl,
                     man.port_time,
                     id='m0')
    man.add_mod(m0)
    m1 = TestModule1(m1_sel,
                     m1_sel_in_gpot,
                     m1_sel_in_spike,
                     m1_sel_out_gpot,
                     m1_sel_out_spike,
                     m1_data_gpot,
                     m1_data_spike,
                     man.port_data,
                     man.port_ctrl,
                     man.port_time,
                     id='m1')
    man.add_mod(m1)

    # Connect the modules:
    pat = Pattern(m0_sel, m1_sel)
    pat.interface[m0_sel_in_gpot] = [0, 'in', 'gpot']
    pat.interface[m0_sel_out_gpot] = [0, 'out', 'gpot']
    pat.interface[m0_sel_in_spike] = [0, 'in', 'spike']
    pat.interface[m0_sel_out_spike] = [0, 'out', 'spike']

    pat.interface[m1_sel_in_gpot] = [1, 'in', 'gpot']
    pat.interface[m1_sel_out_gpot] = [1, 'out', 'gpot']
    pat.interface[m1_sel_in_spike] = [1, 'in', 'spike']
    pat.interface[m1_sel_out_spike] = [1, 'out', 'spike']
    for sel_from, sel_to in zip(m0_sel_out_gpot, m1_sel_in_gpot):
        if not (sel_from == ((), ) or sel_to == ((), )):
            pat[sel_from, sel_to] = 1
    for sel_from, sel_to in zip(m0_sel_out_spike, m1_sel_in_spike):
        if not (sel_from == ((), ) or sel_to == ((), )):
            pat[sel_from, sel_to] = 1

    man.connect(m0, m1, pat, 0, 1)

    # Execute exactly two steps; m0 transmits data during the first step, which
    # should be received by m1 during the second step:
    man.start(steps=2)
    man.stop()

    # Forcibly terminate all processes that are still alive:
    if m0.is_alive():
        m0.terminate()
    if m1.is_alive():
        m1.terminate()
    for b in man.brokers.values():
        if b.is_alive():
            b.terminate()

    # Check that data was propagated correctly:
    m0_data_gpot_after, m0_data_spike_after = m0.q.get()
    m1_data_gpot_after, m1_data_spike_after = m1.q.get()
    assert all(m0_data_gpot_after == m1_data_gpot_after)
    assert all(m0_data_spike_after == m1_data_spike_after)
示例#6
0
def run_test(m0_sel_in_gpot, m0_sel_in_spike,
             m0_sel_out_gpot, m0_sel_out_spike,
             m1_sel_in_gpot, m1_sel_in_spike,
             m1_sel_out_gpot, m1_sel_out_spike):

    # Create test module classes with a queue installed in the destination
    # module to check that data was correctly propagated:
    class TestModule0(TestModule):
        def __init__(self, *args, **kwargs):
            super(TestModule0, self).__init__(*args, **kwargs)
            self.q = Queue()

        def run_step(self):
            self.log_info('saving data to queue before run step')
            if self.steps > 0:
                self.q.put((self.pm['gpot'][self._out_port_dict['gpot']['m1']].copy(),
                            self.pm['spike'][self._out_port_dict['spike']['m1']].copy()))
            super(TestModule0, self).run_step()

    class TestModule1(TestModule):
        def __init__(self, *args, **kwargs):
            super(TestModule1, self).__init__(*args, **kwargs)
            self.q = Queue()

        def run_step(self):
            super(TestModule1, self).run_step()
            self.log_info('saving data to queue after run step')
            if self.steps > 0:
                self.q.put((self.pm['gpot'][self._in_port_dict['gpot']['m0']].copy(),
                            self.pm['spike'][self._in_port_dict['spike']['m0']].copy()))

    m0_sel_gpot = m0_sel_in_gpot+m0_sel_out_gpot
    m0_sel_spike = m0_sel_in_spike+m0_sel_out_spike
    m0_sel = m0_sel_in_gpot+m0_sel_in_spike+m0_sel_out_gpot+m0_sel_out_spike
    m0_data_gpot = np.ones(len(m0_sel_gpot), np.double)
    m0_data_spike = np.ones(len(m0_sel_spike), np.int32)

    m1_sel_gpot = m1_sel_in_gpot+m1_sel_out_gpot
    m1_sel_spike = m1_sel_in_spike+m1_sel_out_spike
    m1_sel = m1_sel_in_gpot+m1_sel_in_spike+m1_sel_out_gpot+m1_sel_out_spike
    m1_data_gpot = np.zeros(len(m1_sel_gpot), np.double)
    m1_data_spike = np.zeros(len(m1_sel_spike), np.int32)

    # Instantiate manager and broker:
    man = Manager(get_random_port(), get_random_port(), get_random_port())
    man.add_brok()

    # Add modules:
    m0 = TestModule0(m0_sel, m0_sel_in_gpot, m0_sel_in_spike,
                     m0_sel_out_gpot, m0_sel_out_spike, 
                     m0_data_gpot, m0_data_spike,
                     man.port_data, man.port_ctrl, man.port_time,
                     id='m0')
    man.add_mod(m0)
    m1 = TestModule1(m1_sel, m1_sel_in_gpot, m1_sel_in_spike,
                     m1_sel_out_gpot, m1_sel_out_spike,
                     m1_data_gpot, m1_data_spike,
                     man.port_data, man.port_ctrl, man.port_time,
                     id='m1')
    man.add_mod(m1)

    # Connect the modules:
    pat = Pattern(m0_sel, m1_sel)
    pat.interface[m0_sel_in_gpot] = [0, 'in', 'gpot']
    pat.interface[m0_sel_out_gpot] = [0, 'out', 'gpot']
    pat.interface[m0_sel_in_spike] = [0, 'in', 'spike']
    pat.interface[m0_sel_out_spike] = [0, 'out', 'spike']

    pat.interface[m1_sel_in_gpot] = [1, 'in', 'gpot']
    pat.interface[m1_sel_out_gpot] = [1, 'out', 'gpot']
    pat.interface[m1_sel_in_spike] = [1, 'in', 'spike']
    pat.interface[m1_sel_out_spike] = [1, 'out', 'spike']
    for sel_from, sel_to in zip(m0_sel_out_gpot,
                                m1_sel_in_gpot):
        if not (sel_from == ((),) or sel_to == ((),)):
            pat[sel_from, sel_to] = 1
    for sel_from, sel_to in zip(m0_sel_out_spike,
                                m1_sel_in_spike):
        if not (sel_from == ((),) or sel_to == ((),)):
            pat[sel_from, sel_to] = 1

    man.connect(m0, m1, pat, 0, 1)

    # Execute exactly two steps; m0 transmits data during the first step, which
    # should be received by m1 during the second step:
    man.start(steps=2)
    man.stop()

    # Forcibly terminate all processes that are still alive:
    if m0.is_alive():
        m0.terminate()
    if m1.is_alive():
        m1.terminate()
    for b in man.brokers.values():
        if b.is_alive():
            b.terminate()

    # Check that data was propagated correctly:
    m0_data_gpot_after, m0_data_spike_after = m0.q.get()
    m1_data_gpot_after, m1_data_spike_after = m1.q.get()
    assert all(m0_data_gpot_after == m1_data_gpot_after)
    assert all(m0_data_spike_after == m1_data_spike_after)
示例#7
0
def run(connected):
    if args.port_data is None and args.port_ctrl is None:
        port_data = get_random_port()
        port_ctrl = get_random_port()
    else:
        port_data = args.port_data
        port_ctrl = args.port_ctrl

    out_name = 'un' if not connected else 'co'
    man = core.Manager(port_data, port_ctrl)
    man.add_brok()

    lpu_file_0 = './data/generic_lpu_0.gexf.gz'
    lpu_file_1 = './data/generic_lpu_1.gexf.gz'
    (n_dict_0, s_dict_0) = LPU.lpu_parser(lpu_file_0)
    (n_dict_1, s_dict_1) = LPU.lpu_parser(lpu_file_1)

    ge_0_id = 'ge_0'
    ge_0 = LPU(dt,
               n_dict_0,
               s_dict_0,
               input_file='./data/generic_input_0.h5',
               output_file='generic_output_0_%s.h5' % out_name,
               port_ctrl=port_ctrl,
               port_data=port_data,
               device=args.gpu_dev[0],
               id=ge_0_id,
               debug=args.debug)
    man.add_mod(ge_0)

    ge_1_id = 'ge_1'
    ge_1 = LPU(dt,
               n_dict_1,
               s_dict_1,
               input_file='./data/generic_input_1.h5',
               output_file='generic_output_1_%s.h5' % out_name,
               port_ctrl=port_ctrl,
               port_data=port_data,
               device=args.gpu_dev[1],
               id=ge_1_id,
               debug=args.debug)
    man.add_mod(ge_1)

    # Connect the public neurons in the two LPUs:
    df_neu_0, df_syn_0 = neurokernel.tools.graph.graph_to_df(
        nx.read_gexf(lpu_file_0))
    df_neu_1, df_syn_1 = neurokernel.tools.graph.graph_to_df(
        nx.read_gexf(lpu_file_1))

    # Number of public neurons in each LPU:
    N_spike_0 = len(df_neu_0[(df_neu_0['spiking'] == True)
                             & (df_neu_0['public'] == True)])
    N_gpot_0 = len(df_neu_0[(df_neu_0['spiking'] == False)
                            & (df_neu_0['public'] == True)])

    N_spike_1 = len(df_neu_1[(df_neu_1['spiking'] == True)
                             & (df_neu_1['public'] == True)])
    N_gpot_1 = len(df_neu_1[(df_neu_1['spiking'] == False)
                            & (df_neu_1['public'] == True)])

    # Alpha function synaptic parameters:
    alphasynapse_type_params = {
        'AlphaSynapse':
        ['ad', 'ar', 'gmax', 'id', 'class', 'conductance', 'reverse']
    }

    if connected:
        conn = core.Connectivity(N_gpot_0, N_spike_0, N_gpot_1, N_spike_1, 1,
                                 ge_0.id, ge_1.id, alphasynapse_type_params)
        for id, (i, j) in enumerate(
                itertools.product(xrange(N_spike_0), xrange(N_spike_1))):
            conn[ge_0_id, 'spike', i, ge_1_id, 'spike', j] = 1
            conn[ge_0_id, 'spike', i, ge_1_id, 'spike', j, 0,
                 'name'] = 'int_0to1_%s_%s' % (i, j)
            conn[ge_0_id, 'spike', i, ge_1_id, 'spike', j, 0,
                 'model'] = 'AlphaSynapse'

            conn[ge_0_id, 'spike', i, ge_1_id, 'spike', j, 0,
                 'ad'] = 0.19 * 1000
            conn[ge_0_id, 'spike', i, ge_1_id, 'spike', j, 0, 'ar'] = 1.1 * 100
            conn[ge_0_id, 'spike', i, ge_1_id, 'spike', j, 0, 'class'] = 0
            conn[ge_0_id, 'spike', i, ge_1_id, 'spike', j, 0,
                 'conductance'] = True
            conn[ge_0_id, 'spike', i, ge_1_id, 'spike', j, 0, 'gmax'] = 0.003
            conn[ge_0_id, 'spike', i, ge_1_id, 'spike', j, 0, 'id'] = id
            conn[ge_0_id, 'spike', i, ge_1_id, 'spike', j, 0,
                 'reverse'] = 0.065

        man.connect(ge_0, ge_1, conn)

    man.start(steps=args.steps)
    man.stop()
示例#8
0
def run(connected):
    if args.port_data is None:
        port_data = get_random_port()
    else:
        port_data = args.port_data
    if args.port_ctrl is None:
        port_ctrl = get_random_port()
    else:
        port_ctrl = args.port_ctrl
    if args.port_time is None:
        port_time = get_random_port()
    else:
        port_time = args.port_time

    out_name = 'un' if not connected else 'co'
    man = core.Manager(port_data, port_ctrl, port_time)
    man.add_brok()

    lpu_file_0 = './data/generic_lpu_0.gexf.gz'
    lpu_file_1 = './data/generic_lpu_1.gexf.gz'
    (n_dict_0, s_dict_0) = LPU.lpu_parser(lpu_file_0)
    (n_dict_1, s_dict_1) = LPU.lpu_parser(lpu_file_1)

    lpu_0_id = 'lpu_0'
    lpu_0 = LPU(dt, n_dict_0, s_dict_0,
                input_file='./data/generic_lpu_0_input.h5',
                output_file='generic_lpu_0_%s_output.h5' % out_name,
                port_ctrl=port_ctrl, port_data=port_data,
                port_time=port_time,
                device=args.gpu_dev[0], id=lpu_0_id,
                debug=args.debug, time_sync=args.time_sync)
    man.add_mod(lpu_0)

    lpu_1_id = 'lpu_1'
    lpu_1 = LPU(dt, n_dict_1, s_dict_1,
                input_file='./data/generic_lpu_1_input.h5',
                output_file='generic_lpu_1_%s_output.h5' % out_name,
                port_ctrl=port_ctrl, port_data=port_data,
                port_time=port_time,
                device=args.gpu_dev[1], id=lpu_1_id,
                debug=args.debug, time_sync=args.time_sync)
    man.add_mod(lpu_1)

    # Create random connections between the input and output ports if the LPUs
    # are to be connected:
    if connected:

        # Find all output and input port selectors in each LPU:
        out_ports_0 = lpu_0.interface.out_ports().to_selectors()
        out_ports_1 = lpu_1.interface.out_ports().to_selectors()

        in_ports_0 = lpu_0.interface.in_ports().to_selectors()
        in_ports_1 = lpu_1.interface.in_ports().to_selectors()

        out_ports_spk_0 = lpu_0.interface.out_ports().spike_ports().to_selectors()
        out_ports_gpot_0 = lpu_0.interface.out_ports().gpot_ports().to_selectors()

        out_ports_spk_1 = lpu_1.interface.out_ports().spike_ports().to_selectors()
        out_ports_gpot_1 = lpu_1.interface.out_ports().gpot_ports().to_selectors()

        in_ports_spk_0 = lpu_0.interface.in_ports().spike_ports().to_selectors()
        in_ports_gpot_0 = lpu_0.interface.in_ports().gpot_ports().to_selectors()

        in_ports_spk_1 = lpu_1.interface.in_ports().spike_ports().to_selectors()
        in_ports_gpot_1 = lpu_1.interface.in_ports().gpot_ports().to_selectors()

        # Initialize a connectivity pattern between the two sets of port
        # selectors:
        pat = pattern.Pattern(','.join(out_ports_0+in_ports_0),
                              ','.join(out_ports_1+in_ports_1))

        # Create connections from the ports with identifiers matching the output
        # ports of one LPU to the ports with identifiers matching the input
        # ports of the other LPU:
        N_conn_spk_0_1 = min(len(out_ports_spk_0), len(in_ports_spk_1))
        N_conn_gpot_0_1 = min(len(out_ports_gpot_0), len(in_ports_gpot_1))
        for src, dest in zip(random.sample(out_ports_spk_0, N_conn_spk_0_1), 
                             random.sample(in_ports_spk_1, N_conn_spk_0_1)):
            pat[src, dest] = 1
            pat.interface[src, 'type'] = 'spike'
            pat.interface[dest, 'type'] = 'spike'
        for src, dest in zip(random.sample(out_ports_gpot_0, N_conn_gpot_0_1),
                             random.sample(in_ports_gpot_1, N_conn_gpot_0_1)):
            pat[src, dest] = 1
            pat.interface[src, 'type'] = 'gpot'
            pat.interface[dest, 'type'] = 'gpot'

        man.connect(lpu_0, lpu_1, pat, 0, 1)

    man.start(steps=args.steps)
    man.stop()