Beispiel #1
0
def computeMSDictHEFT(root_dir):
    res_heft = {}
    if path.exists(root_dir):
        os.chdir(root_dir)
        file_names = [name for name in os.listdir(".") if os.path.isdir(name)]
        for fn in file_names:
            params = fn.split("_")
            rc = params[1]
            gh = params[2]
            ccr = params[3]
            hf = params[4]

            unq_tag = gh + "_" + ccr + "_" + hf

            cm_path = fn + "/task_exe_time.csv"
            comp_matrix = heft.readCsvToNumpyMatrix(cm_path)
            cmm_path = fn + "/resource_BW.csv"
            comm_matrix = heft.readCsvToNumpyMatrix(cmm_path)
            dag_path = fn + "/task_connectivity.csv"
            dag = heft.readDagMatrix(dag_path)
            sched, _,_,_ = heft.schedule_dag(dag,communication_matrix=comm_matrix, computation_matrix=comp_matrix)

            if unq_tag not in res_heft:
                res_heft[unq_tag] = [0,0,0,0]

            if int(rc) > 2:
                (res_heft[unq_tag])[int(math.log2(int(rc)))-2] = sched

        return res_heft
    else:
        print("PATH DOESNT EXIST")
Beispiel #2
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def test_graph_with_PE_restrictions():
    expected_proc_sched = {
        0: [heft.ScheduleEvent(task=1, start=27.0, end=40.0, proc=0), 
            heft.ScheduleEvent(task=7, start=57.0, end=62.0, proc=0)],
        1: [heft.ScheduleEvent(task=3, start=18.0, end=26.0, proc=1), 
            heft.ScheduleEvent(task=5, start=26.0, end=42.0, proc=1), 
            heft.ScheduleEvent(task=8, start=56.0, end=68.0, proc=1), 
            heft.ScheduleEvent(task=9, start=73.0, end=80.0, proc=1)],
        2: [heft.ScheduleEvent(task=0, start=0, end=9.0, proc=2), 
            heft.ScheduleEvent(task=2, start=9.0, end=28.0, proc=2), 
            heft.ScheduleEvent(task=4, start=28.0, end=38.0, proc=2), 
            heft.ScheduleEvent(task=6, start=38.0, end=49.0, proc=2)],
        3: []
    }
    expected_task_sched = {
        0: heft.ScheduleEvent(task=0, start=0, end=9.0, proc=2),
        1: heft.ScheduleEvent(task=1, start=27.0, end=40.0, proc=0),
        2: heft.ScheduleEvent(task=2, start=9.0, end=28.0, proc=2),
        3: heft.ScheduleEvent(task=3, start=18.0, end=26.0, proc=1),
        4: heft.ScheduleEvent(task=4, start=28.0, end=38.0, proc=2),
        5: heft.ScheduleEvent(task=5, start=26.0, end=42.0, proc=1),
        6: heft.ScheduleEvent(task=6, start=38.0, end=49.0, proc=2),
        7: heft.ScheduleEvent(task=7, start=57.0, end=62.0, proc=0),
        8: heft.ScheduleEvent(task=8, start=56.0, end=68.0, proc=1),
        9: heft.ScheduleEvent(task=9, start=73.0, end=80.0, proc=1)
    }
    expected_dict_sched = {
        0: (2, 0, []),
        1: (0, 0, []),
        2: (2, 1, [expected_task_sched[0].task]),
        3: (1, 0, []),
        4: (2, 2, [expected_task_sched[2].task]),
        5: (1, 1, [expected_task_sched[3].task]),
        6: (2, 3, [expected_task_sched[4].task]),
        7: (0, 1, [expected_task_sched[1].task]),
        8: (1, 2, [expected_task_sched[5].task]),
        9: (1, 3, [expected_task_sched[8].task])
    }

    dag = heft.readDagMatrix('test/canonicalgraph_task_connectivity.csv')
    comm = heft.readCsvToNumpyMatrix('test/canonicalgraph_resource_BW.csv')
    comp = heft.readCsvToNumpyMatrix('test/canonicalgraph_task_exe_time.csv')

    inf_comp = np.concatenate((comp, np.inf * np.ones((10, 1))), axis=1)

    inf_comm = np.concatenate((comm, [[1], [1], [1]]), axis=1)
    inf_comm = np.concatenate((inf_comm, [[1, 1, 1, 0]]), axis=0)

    proc_sched, task_sched, dict_sched = heft.schedule_dag(dag, communication_matrix=inf_comm, computation_matrix=inf_comp, proc_schedules=None, time_offset=0, relabel_nodes=True)

    assert proc_sched == expected_proc_sched
    assert task_sched == expected_task_sched
    assert dict_sched == expected_dict_sched
Beispiel #3
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def schedule_dag():
    payload = request.get_json()
    write_files(payload)
    comp_matrix_1 = heft.readCsvToNumpyMatrix('./execTimes.csv')
    comm_matrix_1 = heft.readCsvToNumpyMatrix('./resources.csv')
    dag1 = heft.readDagMatrix('./dag.csv')
    startup_vector_1 = np.array([0 for _ in range(comm_matrix_1.shape[0])])

    sched, _, _ = heft.schedule_dag(dag1,
                                    communication_matrix=comm_matrix_1,
                                    computation_matrix=comp_matrix_1,
                                    communication_startup=startup_vector_1)
    return {
        "sched": sched,
    }
Beispiel #4
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def test_canonical_graph_with_zero_startup():
    expected_proc_sched = {
        0: [heft.ScheduleEvent(task=1, start=27.0, end=40.0, proc=0),
            heft.ScheduleEvent(task=7, start=57.0, end=62.0, proc=0)],
        1: [heft.ScheduleEvent(task=3, start=18.0, end=26.0, proc=1),
            heft.ScheduleEvent(task=5, start=26.0, end=42.0, proc=1),
            heft.ScheduleEvent(task=8, start=56.0, end=68.0, proc=1),
            heft.ScheduleEvent(task=9, start=73.0, end=80.0, proc=1)],
        2: [heft.ScheduleEvent(task=0, start=0, end=9.0, proc=2),
            heft.ScheduleEvent(task=2, start=9.0, end=28.0, proc=2),
            heft.ScheduleEvent(task=4, start=28.0, end=38.0, proc=2),
            heft.ScheduleEvent(task=6, start=38.0, end=49.0, proc=2)]
    }
    expected_task_sched = {
        0: heft.ScheduleEvent(task=0, start=0, end=9.0, proc=2),
        1: heft.ScheduleEvent(task=1, start=27.0, end=40.0, proc=0),
        2: heft.ScheduleEvent(task=2, start=9.0, end=28.0, proc=2),
        3: heft.ScheduleEvent(task=3, start=18.0, end=26.0, proc=1),
        4: heft.ScheduleEvent(task=4, start=28.0, end=38.0, proc=2),
        5: heft.ScheduleEvent(task=5, start=26.0, end=42.0, proc=1),
        6: heft.ScheduleEvent(task=6, start=38.0, end=49.0, proc=2),
        7: heft.ScheduleEvent(task=7, start=57.0, end=62.0, proc=0),
        8: heft.ScheduleEvent(task=8, start=56.0, end=68.0, proc=1),
        9: heft.ScheduleEvent(task=9, start=73.0, end=80.0, proc=1)
    }
    expected_dict_sched = {
        0: (2, 0, []),
        1: (0, 0, []),
        2: (2, 1, [expected_task_sched[0].task]),
        3: (1, 0, []),
        4: (2, 2, [expected_task_sched[2].task]),
        5: (1, 1, [expected_task_sched[3].task]),
        6: (2, 3, [expected_task_sched[4].task]),
        7: (0, 1, [expected_task_sched[1].task]),
        8: (1, 2, [expected_task_sched[5].task]),
        9: (1, 3, [expected_task_sched[8].task])
    }

    dag = heft.readDagMatrix('test/canonicalgraph_task_connectivity.csv')
    comm = heft.readCsvToNumpyMatrix('test/canonicalgraph_resource_BW_startup.csv')
    comm_startup = comm[-1, :]
    comm = comm[0:-1, :]
    comp = heft.readCsvToNumpyMatrix('test/canonicalgraph_task_exe_time.csv')
    proc_sched, task_sched, dict_sched = heft.schedule_dag(dag, communication_matrix=comm, communication_startup=comm_startup, computation_matrix=comp, proc_schedules=None, time_offset=0, relabel_nodes=True)

    assert proc_sched == expected_proc_sched
    assert task_sched == expected_task_sched
    assert dict_sched == expected_dict_sched
Beispiel #5
0
def test_random_graph():
    expected_proc_sched = {
        0: [heft.ScheduleEvent(task=1, start=approx(65.9566, 0.001), end=approx(95.881, 0.001), proc=0), 
            heft.ScheduleEvent(task=3, start=approx(95.881, 0.001), end=approx(107.4534, 0.001), proc=0), 
            heft.ScheduleEvent(task=7, start=approx(109.8242, 0.001), end=approx(130.6393, 0.001), proc=0)],
        1: [heft.ScheduleEvent(task=2, start=approx(61.2566, 0.001), end=approx(103.0477, 0.001), proc=1), 
            heft.ScheduleEvent(task=8, start=approx(107.0242, 0.001), end=approx(124.2442, 0.001), proc=1), 
            heft.ScheduleEvent(task=6, start=approx(124.2442, 0.001), end=approx(136.3771, 0.001), proc=1)],
        2: [heft.ScheduleEvent(task=0, start=0, end=approx(56.9566, 0.001), proc=2), 
            heft.ScheduleEvent(task=4, start=approx(56.9566, 0.001), end=approx(105.0242, 0.001), proc=2), 
            heft.ScheduleEvent(task=5, start=approx(105.0242, 0.001), end=approx(168.2705, 0.001), proc=2), 
            heft.ScheduleEvent(task=9, start=approx(168.2705, 0.001), end=approx(184.1923, 0.001), proc=2)]
    }
    expected_task_sched = {
        0: heft.ScheduleEvent(task=0, start=0, end=approx(56.9566, 0.001), proc=2),
        1: heft.ScheduleEvent(task=1, start=approx(65.9566, 0.001), end=approx(95.881, 0.001), proc=0),
        2: heft.ScheduleEvent(task=2, start=approx(61.2566, 0.001), end=approx(103.0477, 0.001), proc=1),
        3: heft.ScheduleEvent(task=3, start=approx(95.881, 0.001), end=approx(107.4534, 0.001), proc=0),
        4: heft.ScheduleEvent(task=4, start=approx(56.9566, 0.001), end=approx(105.0242, 0.001), proc=2),
        5: heft.ScheduleEvent(task=5, start=approx(105.0242, 0.001), end=approx(168.2705, 0.001), proc=2),
        6: heft.ScheduleEvent(task=6, start=approx(124.2442, 0.001), end=approx(136.3771, 0.001), proc=1),
        7: heft.ScheduleEvent(task=7, start=approx(109.8242, 0.001), end=approx(130.6393, 0.001), proc=0),
        8: heft.ScheduleEvent(task=8, start=approx(107.0242, 0.001), end=approx(124.2442, 0.001), proc=1),
        9: heft.ScheduleEvent(task=9, start=approx(168.2705, 0.001), end=approx(184.1923, 0.001), proc=2)
    }
    expected_dict_sched = {
        0: (2, 0, []),
        1: (0, 0, []),
        2: (1, 0, []),
        3: (0, 1, [expected_task_sched[1].task]),
        4: (2, 1, [expected_task_sched[0].task]),
        5: (2, 2, [expected_task_sched[4].task]),
        6: (1, 2, [expected_task_sched[8].task]),
        7: (0, 2, [expected_task_sched[3].task]),
        8: (1, 1, [expected_task_sched[2].task]),
        9: (2, 3, [expected_task_sched[5].task])
    }
    
    dag = heft.readDagMatrix('test/randomgraph_task_connectivity.csv')
    comm = heft.readCsvToNumpyMatrix('test/randomgraph_resource_BW.csv')
    comp = heft.readCsvToNumpyMatrix('test/randomgraph_task_exe_time.csv')
    proc_sched, task_sched, dict_sched = heft.schedule_dag(dag, communication_matrix=comm, computation_matrix=comp, proc_schedules=None, time_offset=0, relabel_nodes=True)

    assert proc_sched == expected_proc_sched
    assert task_sched == expected_task_sched
    assert dict_sched == expected_dict_sched
Beispiel #6
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def test_canonical_graph_twice():
    expected_proc_sched = {
        0: [heft.ScheduleEvent(task=10, start=10.0, end=24.0, proc=0),
            heft.ScheduleEvent(task=1, start=27.0, end=40.0, proc=0),
            heft.ScheduleEvent(task=12, start=40.0, end=51.0, proc=0),
            heft.ScheduleEvent(task=7, start=57.0, end=62.0, proc=0),
            heft.ScheduleEvent(task=14, start=62.0, end=74.0, proc=0),
            heft.ScheduleEvent(task=16, start=74.0, end=81.0, proc=0)],
        1: [heft.ScheduleEvent(task=3, start=18.0, end=26.0, proc=1), 
            heft.ScheduleEvent(task=5, start=26.0, end=42.0, proc=1), 
            heft.ScheduleEvent(task=13, start=42.0, end=50.0, proc=1),
            heft.ScheduleEvent(task=8, start=56.0, end=68.0, proc=1), 
            heft.ScheduleEvent(task=9, start=73.0, end=80.0, proc=1),
            heft.ScheduleEvent(task=18, start=87.0, end=99.0, proc=1),
            heft.ScheduleEvent(task=19, start=102.0, end=109.0, proc=1)],
        2: [heft.ScheduleEvent(task=0, start=0, end=9.0, proc=2), 
            heft.ScheduleEvent(task=2, start=9.0, end=28.0, proc=2), 
            heft.ScheduleEvent(task=4, start=28.0, end=38.0, proc=2), 
            heft.ScheduleEvent(task=6, start=38.0, end=49.0, proc=2),
            heft.ScheduleEvent(task=11, start=49.0, end=67.0, proc=2),
            heft.ScheduleEvent(task=15, start=67.0, end=76.0, proc=2),
            heft.ScheduleEvent(task=17, start=77.0, end=91.0, proc=2)]
    }
    expected_task_sched = {
        0: heft.ScheduleEvent(task=0, start=0, end=9.0, proc=2),
        1: heft.ScheduleEvent(task=1, start=27.0, end=40.0,proc=0),
        2: heft.ScheduleEvent(task=2, start=9.0, end=28.0, proc=2),
        3: heft.ScheduleEvent(task=3, start=18.0, end=26.0, proc=1),
        4: heft.ScheduleEvent(task=4, start=28.0, end=38.0, proc=2),
        5: heft.ScheduleEvent(task=5, start=26.0, end=42.0, proc=1),
        6: heft.ScheduleEvent(task=6, start=38.0, end=49.0, proc=2),
        7: heft.ScheduleEvent(task=7, start=57.0, end=62.0, proc=0),
        8: heft.ScheduleEvent(task=8, start=56.0, end=68.0, proc=1),
        9: heft.ScheduleEvent(task=9, start=73.0, end=80.0, proc=1),
        10: heft.ScheduleEvent(task=10, start=10.0, end=24.0, proc=0),
        11: heft.ScheduleEvent(task=11, start=49.0, end=67.0, proc=2),
        12: heft.ScheduleEvent(task=12, start=40.0, end=51.0, proc=0),
        13: heft.ScheduleEvent(task=13, start=42.0, end=50.0, proc=1),
        14: heft.ScheduleEvent(task=14, start=62.0, end=74.0, proc=0),
        15: heft.ScheduleEvent(task=15, start=67.0, end=76.0, proc=2),
        16: heft.ScheduleEvent(task=16, start=74.0, end=81.0, proc=0),
        17: heft.ScheduleEvent(task=17, start=77.0, end=91.0, proc=2),
        18: heft.ScheduleEvent(task=18, start=87.0, end=99.0, proc=1),
        19: heft.ScheduleEvent(task=19, start=102.0, end=109.0, proc=1)
    }
    expected_dict_sched = {
        0: (2, 0, []),
        1: (0, 1, [expected_task_sched[10].task]),
        2: (2, 1, [expected_task_sched[0].task]),
        3: (1, 0, []),
        4: (2, 2, [expected_task_sched[2].task]),
        5: (1, 1, [expected_task_sched[3].task]),
        6: (2, 3, [expected_task_sched[4].task]),
        7: (0, 3, [expected_task_sched[12].task]),
        8: (1, 3, [expected_task_sched[13].task]),
        9: (1, 4, [expected_task_sched[8].task]),
        10: (0, 0, []),
        11: (2, 4, [expected_task_sched[6].task]),
        12: (0, 2, [expected_task_sched[1].task]),
        13: (1, 2, [expected_task_sched[5].task]),
        14: (0, 4, [expected_task_sched[7].task]),
        15: (2, 5, [expected_task_sched[11].task]),
        16: (0, 5, [expected_task_sched[14].task]),
        17: (2, 6, [expected_task_sched[15].task]),
        18: (1, 5, [expected_task_sched[9].task]),
        19: (1, 6, [expected_task_sched[18].task])
    }

    dag = heft.readDagMatrix('test/canonicalgraph_task_connectivity.csv')
    comm = heft.readCsvToNumpyMatrix('test/canonicalgraph_resource_BW.csv')
    comp = heft.readCsvToNumpyMatrix('test/canonicalgraph_task_exe_time.csv')
    proc_sched, task_sched, dict_sched = heft.schedule_dag(dag, communication_matrix=comm, computation_matrix=comp, proc_schedules=None, time_offset=0, relabel_nodes=True)
    proc_sched, task_sched, dict_sched = heft.schedule_dag(dag, communication_matrix=comm, computation_matrix=comp, proc_schedules=proc_sched, time_offset=10, relabel_nodes=True)

    assert proc_sched == expected_proc_sched
    assert task_sched == expected_task_sched
    assert dict_sched == expected_dict_sched
Beispiel #7
0
{Start: 0.000000/End: 9.000000/TaskProc: 2/TaskID: 0}, {Start: 9.000000/End: 27.000000/TaskProc: 2/TaskID: 1}, {Start: 27.000000/End: 36.000000/TaskProc: 2/TaskID: 5},

'''
if len(sys.argv) == 1:
	print("Please provide a data path to compute schedule lengths")
	sys.exit()

data_path = sys.argv[1] # get the data path

if path.exists(data_path):
	os.chdir(data_path)
	file_names = [name for name in os.listdir(".") if os.path.isdir(name)]
	for fn in file_names:
		cm_path = fn + "/task_exe_time.csv"
		#print(cm_path)
		comp_matrix = heft.readCsvToNumpyMatrix(cm_path)
		#print(comp_matrix)
		cmm_path = fn + "/resource_BW.csv"
		comm_matrix = heft.readCsvToNumpyMatrix(cmm_path)
		dag_path = fn + "/task_connectivity.csv"
		dag = heft.readDagMatrix(dag_path)
		sched, _,_,_ = heft.schedule_dag(dag,communication_matrix=comm_matrix, computation_matrix=comp_matrix)

		print("Finish time for " + fn + ": " + str(sched))

	print("Finished computing FTs for the experiments")

else:
	print("Please try again with a valid path...")