Exemple #1
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def test_ringallreduce_networkbw(block_, savefig_):
    curr_time = str(datetime.datetime.now()).replace(" ","_")
    curr_time = curr_time.split(".")[0]
    # test inputs variables
    num_runs = 20

    base_network_bandwidth_Gbit_per_sec = 0.1 
    bandwidth_increment_Gbit_per_sec = 0.1
    # key: run_idx, value: network_bandwidth 
    test_network_bandwidth = [base_network_bandwidth_Gbit_per_sec  + i * bandwidth_increment_Gbit_per_sec for i in range(num_runs)]

    # key: qdisc mode, FIFO or PerfectPQ, values: records collected from simulation runs
    iteration_result = collections.defaultdict(list)

    modes = [SchedulingDisc.RingAllReducePQ, SchedulingDisc.RingAllReduceFIFO]
    for mode in modes:
        for network_bd in test_network_bandwidth:
            if mode == SchedulingDisc.RingAllReducePQ:
                config = SimulatorConfig(**{"iteration_barrier": False, "qdisc": SchedulingDisc.RingAllReducePQ, "transmission_rate_Gbit_per_sec": network_bd }) 
            else:
                config = SimulatorConfig(**{"iteration_barrier": True, "qdisc": SchedulingDisc.RingAllReduceFIFO, "transmission_rate_Gbit_per_sec": network_bd }) 
            simulator = ringallreduce_simulator.HorovodSimulator(config)

            simulator.run()
            iteration = ringallreduce_simulator.compute_iteration_time(simulator.record, simulator)
            print(f"iteration: {iteration}")
            iteration_result[mode].append(iteration)

    # plot results
    fig, ax = plt.subplots()
    #This will create the bar graph for poulation
    ind = np.arange(num_runs) # the x locations 
    width = 0.35 # the width of the bars

    rects1 = ax.bar(ind, iteration_result[SchedulingDisc.RingAllReduceFIFO], width)
    rects2 = ax.bar(ind+width, iteration_result[SchedulingDisc.RingAllReducePQ], width)

    ax.set_ylabel('Iteration time in ms')
    ax.set_xticks(ind + width/2)
    ax.set_xticklabels((f"{x:.1f}" for x in test_network_bandwidth))
    ax.set_xlabel('Network Bandwidth in Gbit/s')
    ax.legend((rects1[0], rects2[0]), ("RingAllReduceFIFO", "RingAllReducePerfectPQ"))
    ax.set_title("Network bandwidth vs Iteration time")

    autolabel(rects1, ax)
    autolabel(rects2, ax)

    fig.set_size_inches(18.5, 10.5)
    
    plt.show(block=block_)

    # plot_name = f"Network_bandwidth_vs_iteration_time_default_layer_{str(default_num_layers)}_packet_size_{str(default_packet_size_MB)}_{timestamp_str}"
    plot_name = f"Network_bandwidth_vs_iteration_time_{simulator.config}_{curr_time}"
    print(f"config: {simulator.config}, curr_time: {curr_time}")
    if block_ == False and savefig_ == True:
        plt.savefig(f'./simulation_result/{plot_name}')
Exemple #2
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    def test4():
        network_bd = 50

        test_PerfectPQ_s = SimulatorConfig(**{"iteration_barrier": False, "qdisc": SchedulingDisc.PerfectPQ, "transmission_rate_Gbit_per_sec": network_bd })    
        horovod_simulator = HorovodSimulator(test_PerfectPQ_s)
        horovod_simulator.run()
        compute_iteration_and_slack(horovod_simulator.record, horovod_simulator)
Exemple #3
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    def test3():
        network_bd = 50

        test_FIFO_s = SimulatorConfig(**{"qidsc": SchedulingDisc.FIFO, "transmission_rate_Gbit_per_sec": network_bd})
        horovod_simulator = HorovodSimulator(test_FIFO_s)
        horovod_simulator.run()
        compute_iteration_and_slack(horovod_simulator.record, horovod_simulator)
 def test1():
     test_FIFO_s = SimulatorConfig(**{
         "num_layers": 10,
         "propagation_delay_ms": 5
     })
     horovod_simulator = HorovodSimulator(test_FIFO_s)
     horovod_simulator.run()
     compute_iteration_and_slack(horovod_simulator.record,
                                 horovod_simulator)
 def test2():
     test_PerfectPQ_s = SimulatorConfig(
         **{
             "iteration_barrier": False,
             "qdisc": SchedulingDisc.PerfectPQ,
             "num_layers": 10,
             "propagation_delay_ms": 5
         })
     horovod_simulator = HorovodSimulator(test_PerfectPQ_s)
     horovod_simulator.run()
     compute_iteration_and_slack(horovod_simulator.record,
                                 horovod_simulator)
Exemple #6
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def test_ringallreduce_slack(block_, savefig_):
    # key: layer index, val: slack time
    num_runs = 10
    slack_result = []
    base_network_bandwidth_Gbit_per_sec = 5 
    bandwidth_increment_Gbit_per_sec = 5
    # key: run_idx, value: network_bandwidth 
    test_network_bandwidth = [base_network_bandwidth_Gbit_per_sec  + i * bandwidth_increment_Gbit_per_sec for i in range(num_runs)]
    for network_bd in test_network_bandwidth:
        config = SimulatorConfig(**{"iteration_barrier": False, "qdisc": SchedulingDisc.RingAllReducePQ,"transmission_rate_Gbit_per_sec": network_bd})
        simulator = ringallreduce_simulator.HorovodSimulator(config)
        # set network bandwidth
        simulator.run()
        slack = ringallreduce_simulator.compute_slack_time_FIFO(simulator.record, simulator)
        slack_result.append(slack)

    # plot results
    fig, ax = plt.subplots()
    #This will create the bar graph for poulation
    ind = np.arange(simulator.config.num_layers) # the x locations 
    width = 0.08 # the width of the bars

    rects = {}
    for i in range(num_runs):
        # print(f"slack_result_per_layer[{i}], {slack_result[i]} ")
        print(f"slack_result {i}: {slack_result[i]}")
        rects[i] = ax.bar(ind + i*width, slack_result[i].values(), width)

    ax.set_ylabel('Slack time in ms')
    ax.set_xticks(ind + width * num_runs/2)
    ax.set_xticklabels(("L" + str(x) for x in range(simulator.config.num_layers)), fontsize=6)

    # ax.legend((rects[i][0] for i in range(num_runs)), (str(x)+"Gbit/s" for x in test_network_bandwidth))
    
    ax.legend((rects[i][0] for i in range(num_runs)), (f"{x:.1f}"+"Gbit/s" for x in test_network_bandwidth))

    ax.set_title(f"{config.qdisc.name} Network bandwidth vs Slack time")
    fig.set_size_inches(23.5, 12.5)
    plt.show(block=block_)

    # TODO fix savefig, empty graphs saved somehow
    plot_name = f"Network_bandwidth_vs_slack_time__layer_{simulator.config}_{curr_time}"
    if not block_ and savefig_:
        plt.savefig(f'./simulation_result/{plot_name}')
Exemple #7
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def test3():
    num_runs = 10

    test_min_num_packets_per_layer = [4 * runs for runs in range(1, num_runs+1)]
    iteration_result = []
    for num_packets in test_min_num_packets_per_layer:
        config = SimulatorConfig(**{"iteration_barrier": False, "qdisc": SchedulingDisc.PerfectPQ, "min_packet_per_layer":num_packets })
        simulator = horovod_event_simulator.HorovodSimulator(config)
        simulator.run()
        iteration_time = horovod_event_simulator.compute_iteration_time(simulator.record, simulator)
        iteration_result.append(iteration_time)

    # plot results
    fig, ax = plt.subplots()
    #This will create the bar graph for poulation
    ind = np.arange(num_runs) # the x locations 
    width = 0.35 # the width of the bars

    rects1 = ax.bar(ind, iteration_result, width)

    ax.set_ylabel('Iteration time in ms')
    ax.set_xticks(ind)

    ax.set_xticklabels(test_min_num_packets_per_layer)

    # ax.legend(rects1[0], "PerfectPQ")
    autolabel(rects1, ax)

    ax.set_title(f"PerfectPQ Packet Size vs Iteration time ")
    fig.set_size_inches(18.5, 10.5)
    plt_block = False
    plt.show(block=plt_block)

    if not plt_block:
        plot_name = f"Packet_size_vs_iteration_time__layer_{simulator.config}_{curr_time}"
        plt.savefig(f'./simulation_result/{plot_name}')
Exemple #8
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    if not plt_block:
        plot_name = f"Packet_size_vs_iteration_time__layer_{simulator.config}_{curr_time}"
        plt.savefig(f'./simulation_result/{plot_name}')

'''
Test 4: 
        compute_time vs iteration time
        FIFO and PerfectPQ
'''

'''
Test 5: 
        timeline events using Broken Barh
        FIFO and PerfectPQ
'''
config1 = SimulatorConfig(**{"num_layers":10, "propagation_delay_ms":5})
config2 = SimulatorConfig(**{"iteration_barrier": False, "qdisc": SchedulingDisc.PerfectPQ, "num_layers":10, "propagation_delay_ms":5})

config_FIFO = []
config_PerfectPQ = []
for network_bd in [1, 3]:
    config_FIFO.append(SimulatorConfig(**{"transmission_rate_Gbit_per_sec": network_bd }))
    config_PerfectPQ.append(SimulatorConfig(**{"iteration_barrier": False, "qdisc": SchedulingDisc.PerfectPQ, "transmission_rate_Gbit_per_sec": network_bd}))

def test_timeline(config, plt_block, savefig):

    horovod_simulator = horovod_event_simulator.HorovodSimulator(config)
    r = run_test(horovod_simulator)
    timeline = build_timeline(r, horovod_simulator)
    plot_timeline(timeline, horovod_simulator, plt_block=plt_block, savefig=savefig)
Exemple #9
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 def test_ring_allreduce_fifo():
     # fifo explicitly has iteration barrier in place
     config = SimulatorConfig(**{"iteration_barrier": True, "qdisc": SchedulingDisc.RingAllReduceFIFO,"num_layers":10, "propagation_delay_ms":5})
     test_run(config)
Exemple #10
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 def test_ring_allreduce_pq():
     config = SimulatorConfig(**{"iteration_barrier": False, "qdisc": SchedulingDisc.RingAllReducePQ,"num_layers":10, "propagation_delay_ms":5})
     test_run(config)