Commit e83b5922 authored by Iker Martín Álvarez's avatar Iker Martín Álvarez
Browse files

New version of Proteo

parent 26305fac
#Ignore ini files
*.ini
#Ignore build files
/Codes/build/
/Codes/MaM/build
/Codes/SAM/build
#Ignore Results files
/Results/*
import sys
import glob
import numpy as np
import pandas as pd
from enum import Enum
class G_enum(Enum):
TOTAL_RESIZES = 0
TOTAL_GROUPS = 1
TOTAL_STAGES = 2
GRANULARITY = 3
SDR = 4
ADR = 5
DR = 6
RED_METHOD = 7
RED_STRATEGY = 8
SPAWN_METHOD = 9
SPAWN_STRATEGY = 10
GROUPS = 11
FACTOR_S = 12
DIST = 13
STAGE_TYPES = 14
STAGE_TIMES = 15
STAGE_BYTES = 16
ITERS = 17
ASYNCH_ITERS = 18
T_ITER = 19
T_STAGES = 20
T_SPAWN = 21
T_SPAWN_REAL = 22
T_SR = 23
T_AR = 24
T_MALLEABILITY = 25
T_TOTAL = 26
#Malleability specific
NP = 0
NC = 1
#Iteration specific
IS_DYNAMIC = 11
N_PARENTS = 17
#columnsG = ["Total_Resizes", "Total_Groups", "Total_Stages", "Granularity", "SDR", "ADR", "DR", "Redistribution_Method", \
# "Redistribution_Strategy", "Spawn_Method", "Spawn_Strategy", "Groups", "FactorS", "Dist", "Stage_Types", "Stage_Times", \
# "Stage_Bytes", "Iters", "Asynch_Iters", "T_iter", "T_stages", "T_spawn", "T_spawn_real", "T_SR", "T_AR", "T_Malleability", "T_total"] #27
columnsL = ["NP", "NC", "Total_Stages", "Granularity", "SDR", "ADR", "DR", "Redistribution_Method", \
"Redistribution_Strategy", "Spawn_Method", "Spawn_Strategy", "Is_Dynamic", "FactorS", "Dist", "Stage_Types", "Stage_Times", \
"Stage_Bytes", "N_Parents", "Asynch_Iters", "T_iter", "T_stages"] #20
def copy_iteration(row, dataL_it, group, iteration, is_asynch):
basic_indexes = [G_enum.TOTAL_STAGES.value, G_enum.GRANULARITY.value, \
G_enum.STAGE_TYPES.value, G_enum.STAGE_TIMES.value, G_enum.STAGE_BYTES.value]
basic_asynch = [G_enum.SDR.value, G_enum.ADR.value, G_enum.DR.value]
array_asynch_group = [G_enum.RED_METHOD.value, G_enum.RED_STRATEGY.value, \
G_enum.SPAWN_METHOD.value, G_enum.SPAWN_STRATEGY.value, G_enum.DIST.value]
dataL_it[G_enum.FACTOR_S.value] = row[G_enum.FACTOR_S.value][group]
dataL_it[G_enum.NP.value] = row[G_enum.GROUPS.value][group]
dataL_it[G_enum.ASYNCH_ITERS.value] = is_asynch
dataL_it[G_enum.T_ITER.value] = row[G_enum.T_ITER.value][group][iteration]
dataL_it[G_enum.T_STAGES.value] = list(row[G_enum.T_STAGES.value][group][iteration])
dataL_it[G_enum.IS_DYNAMIC.value] = True if group > 0 else False
for index in basic_indexes:
dataL_it[index] = row[index]
for index in array_asynch_group:
dataL_it[index] = [None, -1]
dataL_it[index][0] = row[index][group]
dataL_it[G_enum.N_PARENTS.value] = -1
if group > 0:
dataL_it[G_enum.N_PARENTS.value] = row[G_enum.GROUPS.value][group-1]
if is_asynch:
dataL_it[G_enum.NC.value] = row[G_enum.GROUPS.value][group+1]
for index in basic_asynch:
dataL_it[index] = row[index]
for index in array_asynch_group:
dataL_it[index][1] = row[index][group+1]
for index in array_asynch_group: # Convert to tuple
dataL_it[index] = tuple(dataL_it[index])
#-----------------------------------------------
def write_iter_dataframe(dataL, name, i, first=False):
dfL = pd.DataFrame(dataL, columns=columnsL)
dfL.to_pickle(name + str(i) + '.pkl')
if first:
print(dfL)
#-----------------------------------------------
def create_iter_dataframe(dfG, name, max_it_L):
it = -1
file_i = 0
first = True
dataL = []
for row_index in range(len(dfG)):
row = dfG.iloc[row_index]
groups = row[G_enum.TOTAL_GROUPS.value]
for group in range(groups):
real_iterations = len(row[G_enum.T_ITER.value][group])
real_asynch = row[G_enum.ASYNCH_ITERS.value][group]
is_asynch = False
for iteration in range(real_iterations-real_asynch):
it += 1
dataL.append( [None] * len(columnsL) )
copy_iteration(row, dataL[it], group, iteration, is_asynch)
is_asynch = True
for iteration in range(real_iterations-real_asynch, real_iterations):
it += 1
dataL.append( [None] * len(columnsL) )
copy_iteration(row, dataL[it], group, iteration, is_asynch)
if it >= max_it_L-1: #Var "it" starts at -1, so one more must be extracted for precise cut
write_iter_dataframe(dataL, name, file_i, first)
dataL = []
file_i += 1
first = False
it = -1
if it != -1:
write_iter_dataframe(dataL, name, file_i)
#-----------------------------------------------
if len(sys.argv) < 2:
print("The files name is missing\nUsage: python3 CreateIterDataframe.py input_file.pkl output_name [max_rows_per_file]")
exit(1)
input_name = sys.argv[1]
if len(sys.argv) > 2:
name = sys.argv[2]
else:
name = "dataL"
print("File names will be: " + name + ".pkl")
if len(sys.argv) > 3:
max_it_L = int(sys.argv[3])
else:
max_it_L = 100000
dfG = pd.read_pickle(input_name)
print(dfG)
create_iter_dataframe(dfG, name, max_it_L)
import sys
import glob
import numpy as np
import pandas as pd
from enum import Enum
class G_enum(Enum):
TOTAL_RESIZES = 0
TOTAL_GROUPS = 1
TOTAL_STAGES = 2
GRANULARITY = 3
SDR = 4
ADR = 5
DR = 6
RED_METHOD = 7
RED_STRATEGY = 8
SPAWN_METHOD = 9
SPAWN_STRATEGY = 10
GROUPS = 11
FACTOR_S = 12
DIST = 13
STAGE_TYPES = 14
STAGE_TIMES = 15
STAGE_BYTES = 16
ITERS = 17
ASYNCH_ITERS = 18
T_ITER = 19
T_STAGES = 20
T_SPAWN = 21
T_SPAWN_REAL = 22
T_SR = 23
T_AR = 24
T_MALLEABILITY = 25
T_TOTAL = 26
#Malleability specific
NP = 0
NC = 1
#Iteration specific
IS_DYNAMIC = 11
N_PARENTS = 17
#columnsG = ["Total_Resizes", "Total_Groups", "Total_Stages", "Granularity", "SDR", "ADR", "DR", "Redistribution_Method", \
# "Redistribution_Strategy", "Spawn_Method", "Spawn_Strategy", "Groups", "FactorS", "Dist", "Stage_Types", "Stage_Times", \
# "Stage_Bytes", "Iters", "Asynch_Iters", "T_iter", "T_stages", "T_spawn", "T_spawn_real", "T_SR", "T_AR", "T_Malleability", "T_total"] #27
columnsM = ["NP", "NC", "Total_Stages", "Granularity", "SDR", "ADR", "DR", "Redistribution_Method", \
"Redistribution_Strategy", "Spawn_Method", "Spawn_Strategy", "FactorS", "Dist", "Stage_Type", "Stage_Time", \
"Stage_Bytes", "Iters", "Asynch_Iters", "T_iter", "T_stages", "T_spawn", "T_spawn_real", "T_SR", "T_AR", "T_Malleability"] #25
def copy_resize(row, dataM_it, resize):
basic_indexes = [G_enum.TOTAL_STAGES.value, G_enum.GRANULARITY.value, G_enum.SDR.value, \
G_enum.ADR.value, G_enum.DR.value]
basic_group = [G_enum.STAGE_TYPES.value, G_enum.STAGE_TIMES.value, G_enum.STAGE_BYTES.value]
array_actual_group = [G_enum.FACTOR_S.value, G_enum.ITERS.value, G_enum.ASYNCH_ITERS.value, \
G_enum.T_SPAWN.value, G_enum.T_SPAWN_REAL.value, G_enum.T_SR.value, \
G_enum.T_AR.value, G_enum.T_MALLEABILITY.value, G_enum.T_ITER.value, G_enum.T_STAGES.value]
array_next_group = [G_enum.RED_METHOD.value, G_enum.RED_STRATEGY.value, \
G_enum.SPAWN_METHOD.value, G_enum.SPAWN_STRATEGY.value]
dataM_it[G_enum.NP.value] = row[G_enum.GROUPS.value][resize]
dataM_it[G_enum.NC.value] = row[G_enum.GROUPS.value][resize+1]
dataM_it[G_enum.DIST.value-1] = [None, None]
dataM_it[G_enum.DIST.value-1][0] = row[G_enum.DIST.value][resize]
dataM_it[G_enum.DIST.value-1][1] = row[G_enum.DIST.value][resize+1]
for index in basic_indexes:
dataM_it[index] = row[index]
for index in basic_group:
dataM_it[index-1] = row[index]
for index in array_actual_group:
dataM_it[index-1] = row[index][resize]
for index in array_next_group:
dataM_it[index] = row[index][resize+1]
#-----------------------------------------------
def create_resize_dataframe(dfG, dataM):
it = -1
for row_index in range(len(dfG)):
row = dfG.iloc[row_index]
resizes = row[G_enum.TOTAL_RESIZES.value]
for resize in range(resizes):
it += 1
dataM.append( [None] * len(columnsM) )
copy_resize(row, dataM[it], resize)
#-----------------------------------------------
if len(sys.argv) < 2:
print("The files name is missing\nUsage: python3 CreateResizeDataframe.py input_file.pkl output_name")
exit(1)
input_name = sys.argv[1]
if len(sys.argv) > 2:
name = sys.argv[2]
else:
name = "dataM"
print("File name will be: " + name + ".pkl")
dfG = pd.read_pickle(input_name)
dataM = []
create_resize_dataframe(dfG, dataM)
dfM = pd.DataFrame(dataM, columns=columnsM)
dfM.to_pickle(name + '.pkl')
print(dfG)
print(dfM)
...@@ -2,189 +2,299 @@ import sys ...@@ -2,189 +2,299 @@ import sys
import glob import glob
import numpy as np import numpy as np
import pandas as pd import pandas as pd
from enum import Enum
def getData(lineS, outData, tp, hasIter = False): class G_enum(Enum):
for data in lineS: TOTAL_RESIZES = 0
k_v = data.split('=') TOTAL_GROUPS = 1
if k_v[0] == "time": TOTAL_STAGES = 2
time = float(k_v[1]) GRANULARITY = 3
elif k_v[0] == "iters" and hasIter: SDR = 4
iters = int(k_v[1]) ADR = 5
DR = 6
RED_METHOD = 7
RED_STRATEGY = 8
SPAWN_METHOD = 9
SPAWN_STRATEGY = 10
GROUPS = 11
FACTOR_S = 12
DIST = 13
STAGE_TYPES = 14
STAGE_TIMES = 15
STAGE_BYTES = 16
ITERS = 17
ASYNCH_ITERS = 18
T_ITER = 19
T_STAGES = 20
T_SPAWN = 21
T_SPAWN_REAL = 22
T_SR = 23
T_AR = 24
T_MALLEABILITY = 25
T_TOTAL = 26
#Malleability specific
NP = 0
NC = 1
#Iteration specific
IS_DYNAMIC = 11
N_PARENTS = 17
outData[tp] = time
if hasIter: columnsG = ["Total_Resizes", "Total_Groups", "Total_Stages", "Granularity", "SDR", "ADR", "DR", "Redistribution_Method", \
outData[tp+1] = iters "Redistribution_Strategy", "Spawn_Method", "Spawn_Strategy", "Groups", "FactorS", "Dist", "Stage_Types", "Stage_Times", \
"Stage_Bytes", "Iters", "Asynch_Iters", "T_iter", "T_stages", "T_spawn", "T_spawn_real", "T_SR", "T_AR", "T_Malleability", "T_total"] #27
#-----------------------------------------------
# Obtains the value of a given index in a splited line
# and returns it as a float values if possible, string otherwise
def get_value(line, index, separator=True):
if separator:
value = line[index].split('=')[1].split(',')[0]
else:
value = line[index]
try:
value = float(value)
if value.is_integer():
value = int(value)
except ValueError:
return value
return value
#-----------------------------------------------
# Obtains the general parameters of an execution and
# stores them for creating a global dataframe
def record_config_line(lineS, dataG_it):
ordered_indexes = [G_enum.TOTAL_RESIZES.value, G_enum.TOTAL_STAGES.value, \
G_enum.GRANULARITY.value, G_enum.SDR.value, G_enum.ADR.value]
offset_line = 2
for i in range(len(ordered_indexes)):
value = get_value(lineS, i+offset_line)
index = ordered_indexes[i]
dataG_it[index] = value
dataG_it[G_enum.TOTAL_GROUPS.value] = dataG_it[G_enum.TOTAL_RESIZES.value]+1
#FIXME Modificar cuando ADR ya no sea un porcentaje
dataG_it[G_enum.DR.value] = dataG_it[G_enum.SDR.value] + dataG_it[G_enum.ADR.value]
# Init lists for each column
array_groups = [G_enum.GROUPS.value, G_enum.FACTOR_S.value, G_enum.DIST.value, G_enum.ITERS.value, \
G_enum.ASYNCH_ITERS.value, G_enum.T_ITER.value, G_enum.T_STAGES.value, G_enum.RED_METHOD.value, \
G_enum.RED_STRATEGY.value, G_enum.SPAWN_METHOD.value, G_enum.SPAWN_STRATEGY.value,]
array_resizes = [ G_enum.T_SPAWN.value, G_enum.T_SPAWN_REAL.value, G_enum.T_SR.value, G_enum.T_AR.value, G_enum.T_MALLEABILITY.value]
array_stages = [G_enum.STAGE_TYPES.value, \
G_enum.STAGE_TIMES.value, G_enum.STAGE_BYTES.value]
for index in array_groups:
dataG_it[index] = [None]*dataG_it[G_enum.TOTAL_GROUPS.value]
for group in range(dataG_it[G_enum.TOTAL_GROUPS.value]):
dataG_it[G_enum.T_ITER.value][group] = []
for index in array_resizes:
dataG_it[index] = [None]*dataG_it[G_enum.TOTAL_RESIZES.value]
for index in array_stages:
dataG_it[index] = [None]*dataG_it[G_enum.TOTAL_STAGES.value]
#-----------------------------------------------
# Obtains the parameters of a stage line
# and stores it in the dataframe
# Is needed to indicate in which stage is
# being performed
def record_stage_line(lineS, dataG_it, stage):
array_stages = [G_enum.STAGE_TYPES.value, \
G_enum.STAGE_TIMES.value, G_enum.STAGE_BYTES.value]
offset_lines = 2
for i in range(len(array_stages)):
value = get_value(lineS, i+offset_lines)
index = array_stages[i]
dataG_it[index][stage] = value
#-----------------------------------------------
# Obtains the parameters of a resize line
# and stores them in the dataframe
# Is needed to indicate to which group refers
# the resize line
# Group 0: Iters=3, Procs=80, Factors=0.037500, Dist=2, RM=0, SM=0, RS=0, SS=0
def record_group_line(lineS, dataG_it, group):
array_groups = [G_enum.ITERS.value, G_enum.GROUPS.value, G_enum.FACTOR_S.value, G_enum.DIST.value, \
G_enum.RED_METHOD.value, G_enum.SPAWN_METHOD.value, G_enum.RED_STRATEGY.value, G_enum.SPAWN_STRATEGY.value]
offset_lines = 2
for i in range(len(array_groups)):
value = get_value(lineS, i+offset_lines)
index = array_groups[i]
dataG_it[index][group] = value
#-----------------------------------------------
def record_time_line(lineS, dataG_it):
T_names = ["T_spawn:", "T_spawn_real:", "T_SR:", "T_AR:", "T_Malleability:", "T_total:"]
T_values = [G_enum.T_SPAWN.value, G_enum.T_SPAWN_REAL.value, G_enum.T_SR.value, G_enum.T_AR.value, G_enum.T_MALLEABILITY.value, G_enum.T_TOTAL.value]
if not (lineS[0] in T_names): # Execute only if line represents a Time
return
index = T_names.index(lineS[0])
index = T_values[index]
offset_lines = 1
len_index = 1
if dataG_it[index] != None:
len_index = len(dataG_it[index])
for i in range(len_index):
dataG_it[index][i] = get_value(lineS, i+offset_lines, False)
else:
dataG_it[index] = get_value(lineS, offset_lines, False)
#----------------------------------------------- #-----------------------------------------------
def record(f, observation, line): def record_multiple_times_line(lineS, dataG_it, group):
# Record first line - General info T_names = ["T_iter:", "T_stage"]
lineS = line.split() T_values = [G_enum.T_ITER.value, G_enum.T_STAGES.value]
for j in range(1,7): if not (lineS[0] in T_names): # Execute only if line represents a Time
observation[j] = int(lineS[j].split('=')[1]) return
# Record procces number
line = next(f)
lineS = line.split()
j = 7
for key_values in lineS:
k_v = key_values.split('=')
observation[j] = int(k_v[1])
j+=1
# Record data
j = 9
for j in range(9, 13):
line = next(f)
lineS = line.split()
getData(lineS, observation, j)
line = next(f)
lineS = line.split()
#if observation[0] == "A":
getData(lineS, observation, 13, True)
#else:
# getData(lineS, observation, 13)
index = T_names.index(lineS[0])
index = T_values[index]
offset_lines = 1
if index == G_enum.T_STAGES.value:
offset_lines += 1
total_iters = len(lineS)-offset_lines
stage = int(lineS[1].split(":")[0])
if stage == 0:
dataG_it[index][group] = [None] * total_iters
for i in range(total_iters):
dataG_it[index][group][i] = [None] * dataG_it[G_enum.TOTAL_STAGES.value]
for i in range(total_iters):
dataG_it[index][group][i][stage] = get_value(lineS, i+offset_lines, False)
else:
total_iters = len(lineS)-offset_lines
for i in range(total_iters):
dataG_it[index][group].append(get_value(lineS, i+offset_lines, False))
#----------------------------------------------- #-----------------------------------------------
def read_file(f, dataA, dataB, it): def read_local_file(f, dataG, it, runs_in_file):
recording = False offset = 0
resizes = 0 real_it = 0
timer = 0 group = 0
previousNP = 0
for line in f:
lineS = line.split()
if len(lineS) > 0:
if lineS[0] == "Group": # GROUP number
offset += 1
real_it = it - (runs_in_file-offset)
group = int(lineS[1].split(":")[0])
elif lineS[0] == "Async_Iters:":
offset_line = 1
dataG[real_it][G_enum.ASYNCH_ITERS.value][group] = get_value(lineS, offset_line, False)
else:
record_multiple_times_line(lineS, dataG[real_it], group)
#-----------------------------------------------
def read_global_file(f, dataG, it):
runs_in_file=0
for line in f: for line in f:
lineS = line.split() lineS = line.split()
if len(lineS) > 0: if len(lineS) > 0:
if lineS[0] == "Config": # CONFIG LINE if lineS[0] == "Config": # CONFIG LINE
recording = True
it += 1 it += 1
dataA.append([None]*13) runs_in_file += 1
dataB.append([None]*15) group = 0
#resizes = int(lineS[2].split('=')[1].split(',')[0]) stage = 0
resizes = 2
compute_tam = int(lineS[3].split('=')[1].split(',')[0]) dataG.append([None]*len(columnsG))
comm_tam = int(lineS[4].split('=')[1].split(',')[0]) record_config_line(lineS, dataG[it])
sdr = int(lineS[5].split('=')[1].split(',')[0])
adr = int(lineS[6].split('=')[1].split(',')[0]) #TODO Que lo tome como porcentaje elif lineS[0] == "Stage":
css = int(lineS[8].split('=')[1].split(',')[0]) record_stage_line(lineS, dataG[it], stage)
cst = int(lineS[9].split('=')[1].split(',')[0]) stage+=1
# TODO Que obtenga Aib elif lineS[0] == "Group":
time = float(lineS[10].split('=')[1]) record_group_line(lineS, dataG[it], group)
group+=1
dataB[it][0] = sdr else:
dataB[it][1] = adr record_time_line(lineS, dataG[it])
dataB[it][4] = ""
dataB[it][5] = compute_tam return it,runs_in_file
dataB[it][6] = comm_tam
dataB[it][7] = cst #-----------------------------------------------
dataB[it][8] = css
dataB[it][9] = time
dataB[it][10] = "" #-----------------------------------------------
def convert_to_tuples(dfG):
dataA[it][0] = sdr array_list_items = [G_enum.GROUPS.value, G_enum.FACTOR_S.value, G_enum.DIST.value, G_enum.ITERS.value, \
dataA[it][1] = adr G_enum.ASYNCH_ITERS.value, G_enum.RED_METHOD.value, G_enum.RED_STRATEGY.value, G_enum.SPAWN_METHOD.value, \
dataA[it][5] = "" G_enum.SPAWN_STRATEGY.value, G_enum.T_SPAWN.value, G_enum.T_SPAWN_REAL.value, G_enum.T_SR.value, \
dataA[it][6] = compute_tam G_enum.T_AR.value, G_enum.STAGE_TYPES.value, G_enum.STAGE_TIMES.value, G_enum.STAGE_BYTES.value]
dataA[it][7] = comm_tam #TODO Falta T_malleability?
dataA[it][8] = cst array_multiple_list_items = [G_enum.T_ITER.value, G_enum.T_STAGES.value]
dataA[it][9] = css for item in array_list_items:
dataA[it][10] = time name = columnsG[item]
dataA[it][11] = "" values = dfG[name].copy()
for index in range(len(values)):
elif recording and resizes != 0: # RESIZE LINE values[index] = tuple(values[index])
iters = int(lineS[2].split('=')[1].split(',')[0]) dfG[name] = values
npr = int(lineS[3].split('=')[1].split(',')[0])
dist = lineS[5].split('=')[1] for item in array_multiple_list_items:
name = columnsG[item]
resizes = resizes - 1 values = dfG[name].copy()
if resizes == 0: for i in range(len(values)):
dataB[it][3] = npr for j in range(len(values[i])):
dataB[it][4] += dist if(type(values[i][j][0]) == list):
dataB[it][10] += str(iters) for r in range(len(values[i][j])):
values[i][j][r] = tuple(values[i][j][r])
dataA[it][4] = npr #FIXME No sera correcta si hay mas de una reconfig values[i][j] = tuple(values[i][j])
dataA[it][2] = str(previousNP) + "," + str(npr) values[i] = tuple(values[i])
dataA[it][5] += dist dfG[name] = values
dataA[it][11] += str(iters)
timer = 4
else:
dataB[it][2] = npr
dataB[it][4] += dist + ","
dataB[it][10] += str(iters) + ","
dataA[it][3] = npr
dataA[it][5] += dist + ","
dataA[it][11] += str(iters) + ","
previousNP = npr
else: # SAVE TIMES
if timer == 4:
dataB[it][11] = float(lineS[1])
elif timer == 3:
dataB[it][12] = float(lineS[1])
elif timer == 2:
dataB[it][13] = float(lineS[1])
elif timer == 1:
dataB[it][14] = float(lineS[1])
else:
dataA[it][12] = float(lineS[1])
timer = timer - 1
return it
#columnsA1 = ["N", "%Async", "Groups", "Dist", "Matrix", "CommTam", "Cst", "Css", "Time", "Iters", "TE"] #8
#columnsB1 = ["N", "%Async", "NP", "NS", "Dist", "Matrix", "CommTam", "Cst", "Css", "Time", "Iters", "TC", "TS", "TA"] #12
#Config loaded: resizes=2, matrix=1000, sdr=1000000000, adr=0, aib=0, time=2.000000 || grp=1
#Resize 0: Iters=100, Procs=2, Factors=1.000000, Phy=2
#Resize 1: Iters=100, Procs=4, Factors=0.500000, Phy=2
#Tspawn: 0.249393
#Tthread: 0
#Tsync: 0.330391
#Tasync: 0
#Tex: 301.428615
#Config loaded: resizes=1, matrix=0, comm_tam=0, sdr=0, adr=0, aib=0, cst=3, css=1, time=1 || grp=1
#----------------------------------------------- #-----------------------------------------------
if len(sys.argv) < 2: if len(sys.argv) < 2:
print("The files name is missing\nUsage: python3 iterTimes.py resultsName directory csvOutName") print("The files name is missing\nUsage: python3 MallTimes.py commonName directory OutName")
exit(1) exit(1)
common_name = sys.argv[1]
if len(sys.argv) >= 3: if len(sys.argv) >= 3:
BaseDir = sys.argv[2] BaseDir = sys.argv[2]
print("Searching in directory: "+ BaseDir) print("Searching in directory: "+ BaseDir)
else: else:
BaseDir = sys.argv[2] BaseDir = "./"
if len(sys.argv) >= 4: if len(sys.argv) >= 4:
print("Csv name will be: " + sys.argv[3] + "G.csv & " + sys.argv[3] + "M.csv")
name = sys.argv[3] name = sys.argv[3]
else: else:
name = "data" name = "data"
print("File name will be: " + name + "G.pkl")
insideDir = "Run" insideDir = "Run"
lista = glob.glob("./" + BaseDir + insideDir + "*/" + sys.argv[1]+ "*Global.o*") lista = glob.glob(BaseDir + insideDir + "*/" + common_name + "*_Global.out")
lista += (glob.glob(BaseDir + common_name + "*_Global.out")) # Se utiliza cuando solo hay un nivel de directorios
print("Number of files found: "+ str(len(lista))); print("Number of files found: "+ str(len(lista)));
it = -1 it = -1
dataA = [] dataG = []
dataB = []
columnsA = ["N", "%Async", "Groups", "NP", "NS", "Dist", "Matrix", "CommTam", "Cst", "Css", "Time", "Iters", "TE"] #13
columnsB = ["N", "%Async", "NP", "NS", "Dist", "Matrix", "CommTam", "Cst", "Css", "Time", "Iters", "TC", "TH", "TS", "TA"] #15
for elem in lista: for elem in lista:
f = open(elem, "r") f = open(elem, "r")
it = read_file(f, dataA, dataB, it) id_run = elem.split("_Global.out")[0].split(common_name)[-1]
lista_local = glob.glob(BaseDir + common_name + id_run + "_G*NP*.out")
it,runs_in_file = read_global_file(f, dataG, it)
f.close() f.close()
for elem_local in lista_local:
f_local = open(elem_local, "r")
read_local_file(f_local, dataG, it, runs_in_file)
f_local.close()
#print(data) dfG = pd.DataFrame(dataG, columns=columnsG)
dfA = pd.DataFrame(dataA, columns=columnsA) convert_to_tuples(dfG)
dfA.to_csv(name + 'G.csv') print(dfG)
dfG.to_pickle(name + 'G.pkl')
dfB = pd.DataFrame(dataB, columns=columnsB) #dfM = pd.DataFrame(dataM, columns=columnsM)
#Poner en TC el valor real y en TH el necesario para la app #Poner en TC el valor real y en TH el necesario para la app
cond = dfB.TH != 0 #cond = dfM.TH != 0
dfB.loc[cond, ['TC', 'TH']] = dfB.loc[cond, ['TH', 'TC']].values #dfM.loc[cond, ['TC', 'TH']] = dfM.loc[cond, ['TH', 'TC']].values
dfB.to_csv(name + 'M.csv') #dfM.to_csv(name + 'M.csv')
This diff is collapsed.
This diff is collapsed.
'''
Created on Oct 24, 2016
@author: David Llorens (dllorens@uji.es)
(c) Universitat Jaume I 2016
@license: GPL2
'''
from abc import ABCMeta, abstractmethod
infinity = float("infinity")
## Esquema para BT básico --------------------------------------------------------------------------
class PartialSolution(metaclass=ABCMeta):
@abstractmethod
def is_solution(self)-> "bool":
pass
@abstractmethod
def get_solution(self) -> "solution":
pass
@abstractmethod
def successors(self) -> "IEnumerable<PartialSolution>":
pass
class BacktrackingSolver(metaclass=ABCMeta):
@staticmethod
def solve(initial_ps : "PartialSolution") -> "IEnumerable<Solution>":
def bt(ps):
if ps.is_solution():
yield ps.get_solution()
else:
for new_ps in ps.successors():
yield from bt(new_ps)
yield from bt(initial_ps)
class BacktrackingSolverOld(metaclass=ABCMeta):
def solve(self, initial_ps : "PartialSolution") -> "IEnumerable<Solution>":
def bt(ps):
if ps.is_solution():
return [ps.get_solution()]
else:
solutions = []
for new_ps in ps.successors():
solutions.extend(bt(new_ps))
return solutions
return bt(initial_ps)
## Esquema para BT con control de visitados --------------------------------------------------------
class PartialSolutionWithVisitedControl(PartialSolution):
@abstractmethod
def state(self)-> "state":
# the returned object must be of an inmutable type
pass
class BacktrackingVCSolver(metaclass=ABCMeta):
@staticmethod
def solve(initial_ps : "PartialSolutionWithVisitedControl") -> "IEnumerable<Solution>":
def bt(ps):
seen.add(ps.state())
if ps.is_solution():
yield ps.get_solution()
else:
for new_ps in ps.successors():
state = new_ps.state()
if state not in seen:
yield from bt(new_ps)
seen = set()
yield from bt(initial_ps)
## Esquema para BT para optimización ----------------------------------------------------------------
class PartialSolutionWithOptimization(PartialSolutionWithVisitedControl):
@abstractmethod
def f(self)-> "int or double":
# result of applying the objective function to the partial solution
pass
class BacktrackingOptSolver(metaclass=ABCMeta):
@staticmethod
def solve(initial_ps : "PartialSolutionWithOptimization") -> "IEnumerable<Solution>":
def bt(ps):
nonlocal best_solution_found_score
ps_score = ps.f()
best_seen[ps.state()] = ps_score
if ps.is_solution() and ps_score < best_solution_found_score: #sólo muestra una solución si mejora la última mostrada
best_solution_found_score = ps_score
yield ps.get_solution()
else:
for new_ps in ps.successors():
state = new_ps.state()
if state not in best_seen or new_ps.f() < best_seen[state]:
yield from bt(new_ps)
best_seen = {}
best_solution_found_score = infinity
yield from bt(initial_ps)
import sys
import glob
import numpy as numpy
import pandas as pd
#-----------------------------------------------
def read_file(f, dataA, dataB, itA, itB):
compute_tam = 0
comm_tam = 0
sdr = 0
adr = 0
dist = 0
css = 0
cst = 0
time = 0
recording = False
it_line = 0
aux_itA = 0
aux_itB = 0
iters = 0
np = 0
np_par = 0
ns = 0
array = []
columnas = ['Titer','Ttype','Top']
#print(f)
for line in f:
lineS = line.split()
if len(lineS) > 1:
if recording and lineS[0].split(':')[0] in columnas: #Record data
aux_itA = 0
lineS.pop(0)
if it_line==0:
for observation in lineS:
dataA.append([None]*15)
dataA[itA+aux_itA][0] = sdr
dataA[itA+aux_itA][1] = adr
dataA[itA+aux_itA][2] = np
dataA[itA+aux_itA][3] = np_par
dataA[itA+aux_itA][4] = ns
dataA[itA+aux_itA][5] = dist
dataA[itA+aux_itA][6] = compute_tam
dataA[itA+aux_itA][7] = comm_tam
dataA[itA+aux_itA][8] = cst
dataA[itA+aux_itA][9] = css
dataA[itA+aux_itA][10] = time
dataA[itA+aux_itA][11] = iters
dataA[itA+aux_itA][12] = float(observation)
array.append(float(observation))
aux_itA+=1
elif it_line==1:
deleted = 0
for observation in lineS:
dataA[itA+aux_itA][13] = float(observation)
if float(observation) == 0:
array.pop(aux_itA - deleted)
deleted+=1
aux_itA+=1
else:
for observation in lineS:
dataA[itA+aux_itA][14] = float(observation)
aux_itA+=1
it_line += 1
if(it_line % 3 == 0): # Comprobar si se ha terminado de mirar esta ejecucion
recording = False
it_line = 0
itA = itA + aux_itA
if ns != 0: # Solo obtener datos de grupos con hijos
dataB.append([None]*14)
dataB[itB][0] = sdr
dataB[itB][1] = adr
dataB[itB][2] = np
dataB[itB][3] = np_par
dataB[itB][4] = ns
dataB[itB][5] = dist
dataB[itB][6] = compute_tam
dataB[itB][7] = comm_tam
dataB[itB][8] = cst
dataB[itB][9] = css
dataB[itB][10] = time
dataB[itB][11] = iters
dataB[itB][12] = tuple(array)
dataB[itB][13] = numpy.sum(array)
itB+=1
array = []
if lineS[0] == "Config:":
compute_tam = int(lineS[1].split('=')[1].split(',')[0])
comm_tam = int(lineS[2].split('=')[1].split(',')[0])
sdr = int(lineS[3].split('=')[1].split(',')[0])
adr = int(lineS[4].split('=')[1].split(',')[0])
css = int(lineS[6].split('=')[1].split(',')[0])
cst = int(lineS[7].split('=')[1].split(',')[0])
time = float(lineS[8].split('=')[1])
elif lineS[0] == "Config":
recording = True
iters = int(lineS[2].split('=')[1].split(',')[0])
dist = int(lineS[4].split('=')[1].split(',')[0])
np = int(lineS[5].split('=')[1].split(',')[0])
np_par = int(lineS[6].split('=')[1].split(',')[0])
ns = int(float(lineS[7].split('=')[1]))
return itA,itB
#-----------------------------------------------
#Config: matrix=1000, sdr=1000000000, adr=0, aib=0 time=2.000000
#Config Group: iters=100, factor=1.000000, phy=2, procs=2, parents=0, sons=4
#Ttype: 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
if len(sys.argv) < 2:
print("The files name is missing\nUsage: python3 iterTimes.py resultsName directory csvOutName")
exit(1)
if len(sys.argv) >= 3:
BaseDir = sys.argv[2]
print("Searching in directory: "+ BaseDir)
else: #FIXME
BaseDir = sys.argv[2]
if len(sys.argv) >= 4:
print("Csv name will be: " + sys.argv[3] + ".csv and "+ sys.argv[3] + "_Total.csv")
name = sys.argv[3]
else:
name = "data"
insideDir = "Run"
lista = glob.glob("./" + BaseDir + insideDir + "*/" + sys.argv[1]+ "*ID*.o*")
print("Number of files found: "+ str(len(lista)));
itA = itB = 0
dataA = []
dataB = [] #0 #1 #2 #3 #4 #5 #6 #7 #8 #9 #10 #11 #12 #13 #14
columnsA = ["N", "%Async", "NP", "N_par", "NS", "Dist", "Compute_tam", "Comm_tam", "Cst", "Css","Time", "Iters", "Ti", "Tt", "To"] #15
columnsB = ["N", "%Async", "NP", "N_par", "NS", "Dist", "Compute_tam", "Comm_tam", "Cst", "Css","Time", "Iters", "Ti", "Sum"] #14
for elem in lista:
f = open(elem, "r")
itA,itB = read_file(f, dataA, dataB, itA, itB)
f.close()
#print(data)
dfA = pd.DataFrame(dataA, columns=columnsA)
dfB = pd.DataFrame(dataB, columns=columnsB)
dfA['N'] += dfA['%Async']
dfA['%Async'] = (dfA['%Async'] / dfA['N']) * 100
dfA.to_csv(name + '.csv')
dfB['N'] += dfB['%Async']
dfB['%Async'] = (dfB['%Async'] / dfB['N']) * 100
dfB.to_csv(name + '_Total.csv')
...@@ -3,22 +3,19 @@ import glob ...@@ -3,22 +3,19 @@ import glob
import numpy as numpy import numpy as numpy
import pandas as pd import pandas as pd
if len(sys.argv) < 3: if len(sys.argv) < 3:
print("The files name is missing\nUsage: python3 joinDf.py resultsName1.csv resultsName2.csv csvOutName") print("The files name is missing\nUsage: python3 joinDf.py resultsName1.pkl resultsName2.pkl OutName")
exit(1) exit(1)
if len(sys.argv) >= 4: if len(sys.argv) >= 4:
print("Csv name will be: " + sys.argv[3] + ".csv")
name = sys.argv[3] name = sys.argv[3]
else: else:
name = "dataJOINED" name = "dataJOINED"
df1 = pd.read_csv( sys.argv[1] ) print("File name will be: " + name + ".pkl")
df2 = pd.read_csv( sys.argv[2] ) df1 = pd.read_pickle( sys.argv[1] )
df2 = pd.read_pickle( sys.argv[2] )
frames = [df1, df2] frames = [df1, df2]
df3 = pd.concat(frames) df3 = pd.concat(frames)
df3 = df3.drop(columns=df3.columns[0])
df3.to_csv(name + '.csv') df3.to_pickle(name + '.pkl')
This diff is collapsed.
This diff is collapsed.
#include <stdio.h>
#include <stdlib.h>
#include <string.h>
#include <mpi.h>
#include "read_ini.h"
#include "../malleability/ProcessDist.h"
#include "ini.h"
void malloc_config_arrays(configuration *user_config, int resizes);
void def_struct_config_file(configuration *config_file, MPI_Datatype *config_type);
void def_struct_config_file_array(configuration *config_file, MPI_Datatype *config_type);
/*
* Funcion utilizada para leer el fichero de configuracion
* y guardarlo en una estructura para utilizarlo en el futuro.
*
* Primero lee la seccion "general" y a continuacion cada una
* de las secciones "resize%d".
*/
static int handler(void* user, const char* section, const char* name,
const char* value) {
configuration* pconfig = (configuration*)user;
char *resize_name = malloc(10 * sizeof(char));
int act_resize = pconfig->actual_resize;
snprintf(resize_name, 10, "resize%d", act_resize);
#define MATCH(s, n) strcmp(section, s) == 0 && strcmp(name, n) == 0
if (MATCH("general", "resizes")) {
pconfig->resizes = atoi(value) + 1;
malloc_config_arrays(pconfig, pconfig->resizes);
} else if (MATCH("general", "matrix_tam")) {
pconfig->matrix_tam = atoi(value);
} else if (MATCH("general", "comm_tam")) {
pconfig->comm_tam = atoi(value);
} else if (MATCH("general", "SDR")) {
pconfig->sdr = atoi(value);
} else if (MATCH("general", "ADR")) {
pconfig->adr = atoi(value);
} else if (MATCH("general", "AIB")) { //TODO Refactor cambiar nombre
pconfig->aib = atoi(value);
} else if (MATCH("general", "CST")) {
pconfig->cst = atoi(value);
} else if (MATCH("general", "CSS")) {
pconfig->css = atoi(value);
} else if (MATCH("general", "time")) {
pconfig->general_time = atof(value);
// Resize
} else if (MATCH(resize_name, "iters")) {
pconfig->iters[act_resize] = atoi(value);
} else if (MATCH(resize_name, "procs")) {
pconfig->procs[act_resize] = atoi(value);
} else if (MATCH(resize_name, "factor")) {
pconfig->factors[act_resize] = atof(value);
} else if (MATCH(resize_name, "physical_dist")) {
char *aux = strdup(value);
if (strcmp(aux, "node") == 0) {
pconfig->phy_dist[act_resize] = COMM_PHY_NODES;
} else {
pconfig->phy_dist[act_resize] = COMM_PHY_CPU;
}
free(aux);
pconfig->actual_resize = pconfig->actual_resize+1; // Ultimo elemento del grupo
} else {
return 0; /* unknown section or name, error */
}
free(resize_name);
return 1;
}
/*
* Crea y devuelve una estructura de configuracion a traves
* de un nombre de fichero dado.
*
* La memoria de la estructura se reserva en la funcion y es conveniente
* liberarla con la funcion "free_config()"
*/
configuration *read_ini_file(char *file_name) {
configuration *config = NULL;
config = malloc(sizeof(configuration) * 1);
if(config == NULL) {
printf("Error when reserving configuration structure\n");
return NULL;
}
config->actual_resize=0;
if(ini_parse(file_name, handler, config) < 0) { // Obtener configuracion
printf("Can't load '%s'\n", file_name);
return NULL;
}
return config;
}
/*
* Reserva de memoria para los vectores de la estructura de configuracion
*
* Si se llama desde fuera de este fichero, la memoria de la estructura
* tiene que reservarse con la siguiente linea:
* "configuration *config = malloc(sizeof(configuration));"
*
* Sin embargo se puede obtener a traves de las funciones
* - read_ini_file
* - recv_config_file
*/
void malloc_config_arrays(configuration *user_config, int resizes) {
if(user_config != NULL) {
user_config->iters = malloc(sizeof(int) * resizes);
user_config->procs = malloc(sizeof(int) * resizes);
user_config->factors = malloc(sizeof(float) * resizes);
user_config->phy_dist = malloc(sizeof(int) * resizes);
}
}
/*
* Libera toda la memoria de una estructura de configuracion
*/
void free_config(configuration *user_config) {
if(user_config != NULL) {
free(user_config->iters);
free(user_config->procs);
free(user_config->factors);
free(user_config->phy_dist);
free(user_config);
}
}
/*
* Imprime por salida estandar toda la informacion que contiene
* la configuracion pasada como argumento
*/
void print_config(configuration *user_config, int grp) {
if(user_config != NULL) {
int i;
printf("Config loaded: resizes=%d, matrix=%d, comm_tam=%d, sdr=%d, adr=%d, aib=%d, css=%d, cst=%d, time=%f || grp=%d\n",
user_config->resizes, user_config->matrix_tam, user_config->comm_tam, user_config->sdr, user_config->adr, user_config->aib, user_config->css, user_config->cst, user_config->general_time, grp);
for(i=0; i<user_config->resizes; i++) {
printf("Resize %d: Iters=%d, Procs=%d, Factors=%f, Phy=%d\n",
i, user_config->iters[i], user_config->procs[i], user_config->factors[i], user_config->phy_dist[i]);
}
}
}
/*
* Imprime por salida estandar la informacion relacionada con un
* solo grupo de procesos en su configuracion.
*/
void print_config_group(configuration *user_config, int grp) {
if(user_config != NULL) {
int parents, sons;
parents = sons = 0;
if(grp > 0) {
parents = user_config->procs[grp-1];
}
if(grp < user_config->resizes - 1) {
sons = user_config->procs[grp+1];
}
printf("Config: matrix=%d, comm_tam=%d, sdr=%d, adr=%d, aib=%d, css=%d, cst=%d, time=%f\n",
user_config->matrix_tam, user_config->comm_tam, user_config->sdr, user_config->adr, user_config->aib, user_config->css, user_config->cst, user_config->general_time);
printf("Config Group: iters=%d, factor=%f, phy=%d, procs=%d, parents=%d, sons=%d\n",
user_config->iters[grp], user_config->factors[grp], user_config->phy_dist[grp], user_config->procs[grp], parents, sons);
}
}
//||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||| ||
//||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||| ||
//| FUNCIONES DE INTERCOMUNICACION DE ESTRUCTURA DE CONFIGURACION ||
//||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||| ||
//||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||| |/
/*
* Envia una estructura de configuracion al grupo de procesos al que se
* enlaza este grupo a traves del intercomunicador pasado como argumento.
*
* Esta funcion tiene que ser llamada por todos los procesos del mismo grupo
* e indicar cual es el proceso raiz que se encargara de enviar la
* configuracion al otro grupo.
*/
void send_config_file(configuration *config_file, int root, MPI_Comm intercomm) {
MPI_Datatype config_type, config_type_array;
// Obtener un tipo derivado para enviar todos los
// datos escalares con una sola comunicacion
def_struct_config_file(config_file, &config_type);
// Obtener un tipo derivado para enviar los tres vectores
// de enteros con una sola comunicacion
def_struct_config_file_array(config_file, &config_type_array);
MPI_Bcast(config_file, 1, config_type, root, intercomm);
MPI_Bcast(config_file, 1, config_type_array, root, intercomm);
MPI_Bcast(config_file->factors, config_file->resizes, MPI_FLOAT, root, intercomm);
//Liberar tipos derivados
MPI_Type_free(&config_type);
MPI_Type_free(&config_type_array);
}
/*
* Recibe una estructura de configuracion desde otro grupo de procesos
* y la devuelve. La memoria de la estructura se reserva en esta funcion.
*
* Esta funcion tiene que ser llamada por todos los procesos del mismo grupo
* e indicar cual es el proceso raiz del otro grupo que se encarga de enviar
* la configuracion a este grupo.
*
* La memoria de la configuracion devuelta tiene que ser liberada con
* la funcion "free_config".
*/
configuration *recv_config_file(int root, MPI_Comm intercomm) {
MPI_Datatype config_type, config_type_array;
configuration *config_file = malloc(sizeof(configuration) * 1);
// Obtener un tipo derivado para recibir todos los
// datos escalares con una sola comunicacion
def_struct_config_file(config_file, &config_type);
MPI_Bcast(config_file, 1, config_type, root, intercomm);
// Obtener un tipo derivado para enviar los tres vectores
// de enteros con una sola comunicacion
malloc_config_arrays(config_file, config_file->resizes); // Reserva de memoria de los vectores
def_struct_config_file_array(config_file, &config_type_array);
MPI_Bcast(config_file, 1, config_type_array, root, intercomm);
MPI_Bcast(config_file->factors, config_file->resizes, MPI_FLOAT, root, intercomm);
//Liberar tipos derivados
MPI_Type_free(&config_type);
MPI_Type_free(&config_type_array);
return config_file;
}
/*
* Tipo derivado para enviar 6 elementos especificos
* de la estructura de configuracion con una sola comunicacion.
*/
void def_struct_config_file(configuration *config_file, MPI_Datatype *config_type) {
int i, counts = 11;
int blocklengths[11] = {1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1};
MPI_Aint displs[counts], dir;
MPI_Datatype types[counts];
// Rellenar vector types
types[0] = types[1] = types[2] = types[3] = types[4] = types[5] = types[6] = types[7] = types[8] = MPI_INT;
types[9] = MPI_FLOAT;
types[10] = MPI_DOUBLE;
// Rellenar vector displs
MPI_Get_address(config_file, &dir);
MPI_Get_address(&(config_file->resizes), &displs[0]);
MPI_Get_address(&(config_file->actual_resize), &displs[1]);
MPI_Get_address(&(config_file->matrix_tam), &displs[2]);
MPI_Get_address(&(config_file->comm_tam), &displs[3]);
MPI_Get_address(&(config_file->sdr), &displs[4]);
MPI_Get_address(&(config_file->adr), &displs[5]);
MPI_Get_address(&(config_file->aib), &displs[6]);
MPI_Get_address(&(config_file->css), &displs[7]);
MPI_Get_address(&(config_file->cst), &displs[8]);
MPI_Get_address(&(config_file->general_time), &displs[9]);
MPI_Get_address(&(config_file->Top), &displs[10]);
for(i=0;i<counts;i++) displs[i] -= dir;
MPI_Type_create_struct(counts, blocklengths, displs, types, config_type);
MPI_Type_commit(config_type);
}
/*
* Tipo derivado para enviar tres vectores de enteros
* de la estructura de configuracion con una sola comunicacion.
*/
void def_struct_config_file_array(configuration *config_file, MPI_Datatype *config_type) {
int i, counts = 3;
int blocklengths[3] = {1, 1, 1};
MPI_Aint displs[counts], dir;
MPI_Datatype aux, types[counts];
// Rellenar vector types
types[0] = types[1] = types[2] = MPI_INT;
// Modificar blocklengths al valor adecuado
blocklengths[0] = blocklengths[1] = blocklengths[2] = config_file->resizes;
//Rellenar vector displs
MPI_Get_address(config_file, &dir);
MPI_Get_address(config_file->iters, &displs[0]);
MPI_Get_address(config_file->procs, &displs[1]);
MPI_Get_address(config_file->phy_dist, &displs[2]);
for(i=0;i<counts;i++) displs[i] -= dir;
// Tipo derivado para enviar un solo elemento de tres vectores
MPI_Type_create_struct(counts, blocklengths, displs, types, &aux);
// Tipo derivado para enviar N elementos de tres vectores(3N en total)
MPI_Type_create_resized(aux, 0, 1*sizeof(int), config_type);
MPI_Type_commit(config_type);
}
#include <stdio.h>
#include <stdlib.h>
#include <mpi.h>
#define RESULTS_INIT_DATA_QTY 100
typedef struct {
// Iters data
double *iters_time;
int *iters_type, iter_index, iters_size;
// Spawn, Thread, Sync, Async and Exec time
double spawn_start, *spawn_time, *spawn_real_time;
double sync_start, sync_end, *sync_time;
double async_start, async_end, *async_time;
double exec_start, exec_time;
//Overcharge time is time spent in malleability that is from IO modules
} results_data;
void send_results(results_data *results, int root, int resizes, MPI_Comm intercomm);
void recv_results(results_data *results, int root, int resizes, MPI_Comm intercomm);
void set_results_post_reconfig(results_data *results, int grp, int sdr, int adr);
void reset_results_index(results_data *results);
void compute_results_iter(results_data *results, int myId, int root, MPI_Comm comm);
void print_iter_results(results_data results, int last_normal_iter_index);
void print_global_results(results_data results, int resizes);
void init_results_data(results_data *results, int resizes, int iters_size);
void realloc_results_iters(results_data *results, int needed);
void free_results_data(results_data *results);
#ifndef MAM_H
#define MAM_H
#include "MAM_Constants.h"
#include "MAM_Manager.h"
#include "MAM_Configuration.h"
#include "MAM_Times_retrieve.h"
#endif
#include "MAM_Configuration.h"
#include "MAM_Init_Configuration.h"
#include "MAM_DataStructures.h"
#include <limits.h>
typedef struct {
unsigned int *value, default_value;
int config_max_length;
union {
int (*set_config_simple)(unsigned int, unsigned int *);
int (*set_config_complex)(unsigned int);
};
char *env_name;
} mam_config_setting_t;
int MAM_I_set_method(unsigned int new_method, unsigned int *method);
int MAM_I_set_spawn_strat(unsigned int strategy, unsigned int *strategies);
int MAM_I_set_red_strat(unsigned int strategy, unsigned int *strategies);
int MAM_I_set_target_number(unsigned int new_numC);
int MAM_I_configuration_get_defaults();
int MAM_I_contains_strat(unsigned int comm_strategies, unsigned int strategy);
int MAM_I_add_strat(unsigned int *comm_strategies, unsigned int strategy);
int MAM_I_remove_strat(unsigned int *comm_strategies, unsigned int strategy);
mam_config_setting_t configSettings[] = {
{NULL, MAM_SPAWN_MERGE, MAM_METHODS_SPAWN_LEN, {.set_config_simple = MAM_I_set_method }, MAM_SPAWN_METHOD_ENV},
{NULL, MAM_STRAT_SPAWN_CLEAR, MAM_STRATS_SPAWN_LEN, {.set_config_simple = MAM_I_set_spawn_strat }, MAM_SPAWN_STRATS_ENV},
{NULL, MAM_PHY_DIST_COMPACT, MAM_METHODS_PHYSICAL_DISTRIBUTION_LEN, {.set_config_simple = MAM_I_set_method }, MAM_PHYSICAL_DISTRIBUTION_METHOD_ENV},
{NULL, MAM_RED_BASELINE, MAM_METHODS_RED_LEN, {.set_config_simple = MAM_I_set_method }, MAM_RED_METHOD_ENV},
{NULL, MAM_STRAT_RED_CLEAR, MAM_STRATS_RED_LEN, {.set_config_simple = MAM_I_set_red_strat }, MAM_RED_STRATS_ENV},
{NULL, 1, INT_MAX, {.set_config_complex = MAM_I_set_target_number }, MAM_NUM_TARGETS_ENV}
};
unsigned int masks_spawn[] = {MAM_STRAT_CLEAR_VALUE, MAM_MASK_PTHREAD, MAM_MASK_SPAWN_SINGLE, MAM_MASK_SPAWN_INTERCOMM, MAM_MASK_SPAWN_MULTIPLE, MAM_MASK_SPAWN_PARALLEL};
unsigned int masks_red[] = {MAM_STRAT_CLEAR_VALUE, MAM_MASK_PTHREAD, MAM_MASK_RED_WAIT_SOURCES, MAM_MASK_RED_WAIT_TARGETS};
/**
* @brief Set configuration parameters for MAM.
*
* This function allows setting various configuration parameters for MAM
* such as spawn method, spawn strategies, spawn physical distribution,
* redistribution method, and red strategies.
*
* @param spawn_method The spawn method reconfiguration.
* @param spawn_strategies The spawn strategies reconfiguration.
* @param spawn_dist The spawn physical distribution method reconfiguration.
* @param red_method The redistribution method reconfiguration.
* @param red_strategies The redesitribution strategy for reconfiguration.
*/
void MAM_Set_configuration(int spawn_method, int spawn_strategies, int spawn_dist, int red_method, int red_strategies) {
int i, aux;
int aux_array[] = {spawn_method, spawn_strategies, spawn_dist, red_method, red_strategies};
if(state > MAM_I_NOT_STARTED) return;
mam_config_setting_t *config = NULL;
for (i = 0; i < MAM_KEY_COUNT-1; i++) { //FIXME Numero magico para no cambiar num_targets
aux = aux_array[i];
config = &configSettings[i];
if (0 <= aux && aux < config->config_max_length) {
if(i == MAM_NUM_TARGETS) {
config->set_config_complex(aux);
} else {
config->set_config_simple(aux, config->value);
}
}
}
}
/*
* @brief Set the configuration value for a specific key in MAM.
*
* Modifies the configuration value associated with the given key
* to the specified "required" value. The final value set is returned in the
* "provided" parameter.
*
* @param key The key for which the configuration value is to be modified.
* @param required The required value to set for the specified key.
* @param provided Pointer to an integer where the final value set will be stored.
* This parameter is updated with the actual value after modification.
* For strategy keys the value is "MAM_STRATS_ADDED" if "required" has
* been added, or "MAM_STRATS_MODIFIED" if multiple strategies of the
* key have been modified.
*/
void MAM_Set_key_configuration(int key, int required, int *provided) {
int i, aux;
if(provided == NULL) provided = &aux;
*provided = MAM_DENIED;
if(required < 0 || state > MAM_I_NOT_STARTED) return;
mam_config_setting_t *config = NULL;
for (i = 0; i < MAM_KEY_COUNT; i++) { //FIXME A for is not needed -- Check if key < MAM_KEY_COUNT and then just use key as index
if (key == i) {
config = &configSettings[i];
break;
}
}
if (config != NULL) {
if (required < config->config_max_length) {
if(i == MAM_NUM_TARGETS) {
*provided = config->set_config_complex(required);
} else {
*provided = config->set_config_simple(required, config->value);
}
} else {*provided = *(config->value); }
} else { printf("MAM: Key %d does not exist\n", key); }
}
/*
* Retorna si una estrategia aparece o no
*/
int MAM_Contains_strat(int key, unsigned int strategy, int *result) {
int strategies, aux = MAM_OK;
unsigned int len = 0, mask;
switch(key) {
case MAM_SPAWN_STRATEGIES:
strategies = mall_conf->spawn_strategies;
mask = masks_spawn[strategy];
len = MAM_STRATS_SPAWN_LEN;
break;
case MAM_RED_STRATEGIES:
strategies = mall_conf->red_strategies;
mask = masks_red[strategy];
len = MAM_STRATS_RED_LEN;
break;
default:
aux = MAM_DENIED;
break;
}
if(aux == MAM_OK && strategy < len) {
aux = MAM_I_contains_strat(strategies, mask);
} else {
aux = 0;
}
if(result != NULL) *result = aux;
return aux;
}
/*
* //TODO
* Tiene que ser llamado despues de setear la config
*/
int MAM_Set_target_number(unsigned int numC){
return MAM_I_set_target_number(numC);
}
/*
* //TODO
* Tiene que ser llamado fuera de reconfig
*/
void MAM_Use_valgrind(int flag) {
if(state > MAM_I_NOT_STARTED) return;
mall_conf->external_usage = flag ? MAM_USE_VALGRIND: 0;
#if MAM_DEBUG
if(mall->myId == mall->root && flag) DEBUG_FUNC("Settled Valgrind Wrapper", mall->myId, mall->numP); fflush(stdout);
#endif
}
/*
* //TODO
* Tiene que ser llamado fuera de reconfig
*/
void MAM_Use_extrae(int flag) {
if(state > MAM_I_NOT_STARTED) return;
mall_conf->external_usage = flag ? MAM_USE_EXTRAE: 0;
#if MAM_DEBUG
if(mall->myId == mall->root && flag) DEBUG_FUNC("Settled Extrae Wrapper", mall->myId, mall->numP); fflush(stdout);
#endif
}
//======================================================||
//===============MAM_INIT FUNCTIONS=====================||
//======================================================||
//======================================================||
void MAM_Init_configuration() {
if(mall == NULL || mall_conf == NULL) {
printf("MAM FATAL ERROR: Setting initial config without previous mallocs\n");
fflush(stdout);
MPI_Abort(MPI_COMM_WORLD, -50);
}
mall_conf->spawn_method = MAM_STRAT_CLEAR_VALUE;
mall_conf->spawn_strategies = MAM_STRAT_CLEAR_VALUE;
mall_conf->red_method = MAM_STRAT_CLEAR_VALUE;
mall_conf->red_strategies = MAM_STRAT_CLEAR_VALUE;
mall_conf->external_usage = 0;
configSettings[MAM_SPAWN_METHOD].value = &mall_conf->spawn_method;
configSettings[MAM_SPAWN_STRATEGIES].value = &mall_conf->spawn_strategies;
configSettings[MAM_PHYSICAL_DISTRIBUTION].value = &mall_conf->spawn_dist;
configSettings[MAM_RED_METHOD].value = &mall_conf->red_method;
configSettings[MAM_RED_STRATEGIES].value = &mall_conf->red_strategies;
}
void MAM_Set_initial_configuration() {
int not_filled = 1;
not_filled = MAM_I_configuration_get_defaults();
if(not_filled) {
if(mall->myId == mall->root) printf("MAM WARNING: Starting configuration not set\n");
fflush(stdout);
MPI_Abort(mall->comm, -50);
}
#if MAM_DEBUG >= 2
if(mall->myId == mall->root) {
DEBUG_FUNC("Initial configuration settled", mall->myId, mall->numP);
fflush(stdout);
}
#endif
}
void MAM_Check_configuration() {
int global_internodes;
if(mall->numC == mall->numP) { // Migrate
MAM_Set_key_configuration(MAM_SPAWN_METHOD, MAM_SPAWN_BASELINE, NULL);
}
MPI_Allreduce(&mall->internode_group, &global_internodes, 1, MPI_INT, MPI_MAX, mall->comm);
if((MAM_Contains_strat(MAM_SPAWN_STRATEGIES, MAM_STRAT_SPAWN_MULTIPLE, NULL)
|| MAM_Contains_strat(MAM_SPAWN_STRATEGIES, MAM_STRAT_SPAWN_PARALLEL, NULL) )
&& global_internodes) { // Remove internode MPI_COMM_WORLDs
MAM_Set_key_configuration(MAM_SPAWN_METHOD, MAM_SPAWN_BASELINE, NULL);
}
if(mall_conf->spawn_method == MAM_SPAWN_MERGE) {
if(MAM_I_contains_strat(mall_conf->spawn_strategies, MAM_MASK_SPAWN_INTERCOMM)) {
MAM_I_remove_strat(&mall_conf->spawn_strategies, MAM_MASK_SPAWN_INTERCOMM);
}
// FIXME This should not be required to be removed for that case...
if(mall->numP > mall->numC && MAM_I_contains_strat(mall_conf->spawn_strategies, MAM_MASK_SPAWN_SINGLE)) {
MAM_I_remove_strat(&mall_conf->spawn_strategies, MAM_MASK_SPAWN_SINGLE);
}
}
if(mall_conf->red_method == MAM_RED_RMA_LOCK || mall_conf->red_method == MAM_RED_RMA_LOCKALL) {
if(MAM_I_contains_strat(mall_conf->spawn_strategies, MAM_MASK_SPAWN_INTERCOMM)) {
MAM_I_remove_strat(&mall_conf->spawn_strategies, MAM_MASK_SPAWN_INTERCOMM);
}
if(!MAM_I_contains_strat(mall_conf->red_strategies, MAM_MASK_RED_WAIT_TARGETS) &&
!MAM_I_contains_strat(mall_conf->red_strategies, MAM_MASK_PTHREAD)) {
MAM_I_set_red_strat(MAM_STRAT_RED_WAIT_TARGETS, &mall_conf->red_strategies);
}
}
#if MAM_DEBUG >= 2
if(mall->myId == mall->root) {
DEBUG_FUNC("MaM configuration", mall->myId, mall->numP);
printf("Spawn M=%d S=%d D=%d Redist M=%d S=%d\n",
mall_conf->spawn_method, mall_conf->spawn_strategies, mall_conf->spawn_dist, mall_conf->red_method, mall_conf->red_strategies);
fflush(stdout);
}
#endif
}
//======================================================||
//================PRIVATE FUNCTIONS=====================||
//======================================================||
//======================================================||
int MAM_I_configuration_get_defaults() {
size_t i;
int set_value;
char *tmp = NULL;
mam_config_setting_t *config = NULL;
for (i = 0; i < MAM_KEY_COUNT; i++) {
config = &configSettings[i];
tmp = getenv(config->env_name);
if(tmp != NULL) {
set_value = atoi(tmp);
} else {
set_value = config->default_value;
}
if (0 <= set_value && set_value < config->config_max_length) {
if(i == MAM_NUM_TARGETS) {
config->set_config_complex(set_value);
} else {
config->set_config_simple(set_value, config->value);
}
}
tmp = NULL;
}
return 0;
}
int MAM_I_set_method(unsigned int new_method, unsigned int *method) {
*method = new_method;
return *method;
}
//TODO Se podría hacer un par de arrays o dict para obtener la mascara sin un switch
int MAM_I_set_spawn_strat(unsigned int strategy, unsigned int *strategies) {
int result = 0;
int strat_removed = 0;
switch(strategy) {
case MAM_STRAT_SPAWN_CLEAR:
*strategies = MAM_STRAT_CLEAR_VALUE;
result = MAM_STRATS_MODIFIED;
break;
case MAM_STRAT_SPAWN_PTHREAD:
result = MAM_I_add_strat(strategies, MAM_MASK_PTHREAD);
break;
case MAM_STRAT_SPAWN_SINGLE:
result = MAM_I_add_strat(strategies, MAM_MASK_SPAWN_SINGLE);
if(result == MAM_STRATS_ADDED) {
strat_removed += MAM_I_remove_strat(strategies, MAM_MASK_SPAWN_PARALLEL);
}
break;
case MAM_STRAT_SPAWN_INTERCOMM:
result = MAM_I_add_strat(strategies, MAM_MASK_SPAWN_INTERCOMM);
break;
case MAM_STRAT_SPAWN_MULTIPLE:
result = MAM_I_add_strat(strategies, MAM_MASK_SPAWN_MULTIPLE);
if(result == MAM_STRATS_ADDED) {
strat_removed += MAM_I_remove_strat(strategies, MAM_MASK_SPAWN_PARALLEL);
}
break;
case MAM_STRAT_SPAWN_PARALLEL:
result = MAM_I_add_strat(strategies, MAM_MASK_SPAWN_PARALLEL);
if(result == MAM_STRATS_ADDED) {
strat_removed += MAM_I_remove_strat(strategies, MAM_MASK_SPAWN_MULTIPLE);
strat_removed += MAM_I_remove_strat(strategies, MAM_MASK_SPAWN_SINGLE);
}
break;
default:
//Unkown strategy
result = MAM_DENIED;
break;
}
if(strat_removed) {
result = MAM_STRATS_MODIFIED;
}
return result;
}
int MAM_I_set_red_strat(unsigned int strategy, unsigned int *strategies) {
int result = 0;
int strat_removed = 0;
switch(strategy) {
case MAM_STRAT_RED_CLEAR:
*strategies = MAM_STRAT_CLEAR_VALUE;
result = MAM_STRATS_MODIFIED;
break;
case MAM_STRAT_RED_PTHREAD: //TODO - IMPROVEMENT - This could be done with a single operation instead of 3.
result = MAM_I_add_strat(strategies, MAM_MASK_PTHREAD);
if(result == MAM_STRATS_ADDED) {
strat_removed += MAM_I_remove_strat(strategies, MAM_MASK_RED_WAIT_SOURCES);
strat_removed += MAM_I_remove_strat(strategies, MAM_MASK_RED_WAIT_TARGETS);
}
break;
case MAM_STRAT_RED_WAIT_SOURCES:
result = MAM_I_add_strat(strategies, MAM_MASK_RED_WAIT_SOURCES);
if(result == MAM_STRATS_ADDED) {
strat_removed += MAM_I_remove_strat(strategies, MAM_MASK_RED_WAIT_TARGETS);
strat_removed += MAM_I_remove_strat(strategies, MAM_MASK_PTHREAD);
}
break;
case MAM_STRAT_RED_WAIT_TARGETS:
result = MAM_I_add_strat(strategies, MAM_MASK_RED_WAIT_TARGETS);
if(result == MAM_STRATS_ADDED) {
strat_removed += MAM_I_remove_strat(strategies, MAM_MASK_RED_WAIT_SOURCES);
strat_removed += MAM_I_remove_strat(strategies, MAM_MASK_PTHREAD);
}
break;
default:
//Unkown strategy
result = MAM_DENIED;
break;
}
if(strat_removed) {
result = MAM_STRATS_MODIFIED;
}
return result;
}
int MAM_I_set_target_number(unsigned int new_numC) {
if(state > MAM_I_NOT_STARTED || new_numC == 0) return MAM_DENIED;
mall->numC = (int) new_numC;
return new_numC;
}
/*
* Returns 1 if strategy is applied, 0 otherwise
*/
int MAM_I_contains_strat(unsigned int comm_strategies, unsigned int strategy) {
return comm_strategies & strategy;
}
int MAM_I_add_strat(unsigned int *comm_strategies, unsigned int strategy) {
if(MAM_I_contains_strat(*comm_strategies, strategy)) return MAM_OK;
*comm_strategies |= strategy;
return MAM_STRATS_ADDED;
}
int MAM_I_remove_strat(unsigned int *comm_strategies, unsigned int strategy) {
if(!MAM_I_contains_strat(*comm_strategies, strategy)) return MAM_OK;
*comm_strategies &= ~strategy;
return MAM_STRATS_MODIFIED;
}
#ifndef MAM_CONFIGURATION_H
#define MAM_CONFIGURATION_H
#include <mpi.h>
#include "MAM_Constants.h"
#define MAM_STRAT_CLEAR_VALUE 0
#define MAM_STRATS_ADDED 1
#define MAM_STRATS_MODIFIED 2
#define MAM_MASK_PTHREAD 0x01
#define MAM_MASK_SPAWN_SINGLE 0x02
#define MAM_MASK_SPAWN_INTERCOMM 0x04
#define MAM_MASK_SPAWN_MULTIPLE 0x08
#define MAM_MASK_SPAWN_PARALLEL 0x10
#define MAM_MASK_RED_WAIT_SOURCES 0x02
#define MAM_MASK_RED_WAIT_TARGETS 0x04
int MAM_Contains_strat(int key, unsigned int strategy, int *result);
void MAM_Set_configuration(int spawn_method, int spawn_strategies, int spawn_dist, int red_method, int red_strategies);
void MAM_Set_key_configuration(int key, int required, int *provided);
int MAM_Set_target_number(unsigned int numC);
void MAM_Use_valgrind(int flag);
void MAM_Use_extrae(int flag);
#endif
#ifndef MAM_CONSTANTS_H
#define MAM_CONSTANTS_H
//States
#define MAM_DENIED -1
#define MAM_OK 0
enum mam_states{MAM_UNRESERVED, MAM_NOT_STARTED, MAM_PENDING, MAM_USER_PENDING, MAM_COMPLETED};
enum mam_proc_states{MAM_PROC_CONTINUE, MAM_PROC_NEW_RANK, MAM_PROC_ZOMBIE};
enum mam_spawn_methods{MAM_SPAWN_BASELINE, MAM_SPAWN_MERGE, MAM_METHODS_SPAWN_LEN};
enum mam_spawn_strategies{MAM_STRAT_SPAWN_CLEAR, MAM_STRAT_SPAWN_PTHREAD, MAM_STRAT_SPAWN_SINGLE, MAM_STRAT_SPAWN_INTERCOMM, MAM_STRAT_SPAWN_MULTIPLE, MAM_STRAT_SPAWN_PARALLEL, MAM_STRATS_SPAWN_LEN};
enum mam_phy_dist_methods{MAM_PHY_DIST_SPREAD = 1, MAM_PHY_DIST_COMPACT, MAM_METHODS_PHYSICAL_DISTRIBUTION_LEN};
enum mam_phy_info_methods{MAM_PHY_TYPE_STRING = 1, MAM_PHY_TYPE_HOSTFILE};
enum mam_redistribution_methods{MAM_RED_BASELINE, MAM_RED_POINT, MAM_RED_RMA_LOCK, MAM_RED_RMA_LOCKALL, MAM_METHODS_RED_LEN};
enum mam_red_strategies{MAM_STRAT_RED_CLEAR, MAM_STRAT_RED_PTHREAD, MAM_STRAT_RED_WAIT_SOURCES, MAM_STRAT_RED_WAIT_TARGETS, MAM_STRATS_RED_LEN};
/* KEYS & VALUES for config*/
enum mam_key_values{MAM_SPAWN_METHOD=0, MAM_SPAWN_STRATEGIES, MAM_PHYSICAL_DISTRIBUTION, MAM_RED_METHOD, MAM_RED_STRATEGIES, MAM_NUM_TARGETS, MAM_KEY_COUNT};
#define MAM_SPAWN_METHOD_ENV "MAM_SPAWN_METHOD"
#define MAM_SPAWN_STRATS_ENV "MAM_SPAWN_STRATS"
#define MAM_PHYSICAL_DISTRIBUTION_METHOD_ENV "MAM_PHYSICAL_DISTRIBUTION_METHOD"
#define MAM_RED_METHOD_ENV "MAM_RED_METHOD"
#define MAM_RED_STRATS_ENV "MAM_RED_STRATS"
#define MAM_NUM_TARGETS_ENV "MAM_NUM_TARGETS"
#define MAM_CHECK_COMPLETION 0
#define MAM_WAIT_COMPLETION 1
#define MAM_SOURCES 0
#define MAM_TARGETS 1
#define MAM_DATA_DISTRIBUTED 0
#define MAM_DATA_REPLICATED 1
#define MAM_DATA_VARIABLE 0
#define MAM_DATA_CONSTANT 1
// Tags for messages in spawn strategies
#define MAM_MPITAG_STRAT_SINGLE 130
#define MAM_MPITAG_STRAT_MULTIPLE 131
#endif
#include "MAM_DataStructures.h"
malleability_config_t *mall_conf = NULL;
malleability_t *mall = NULL;
int state = MAM_I_UNRESERVED;
/*
* Crea un tipo derivado para mandar las dos estructuras principales
* de MaM.
*/
void MAM_Def_main_datatype() {
int i, counts = 12;
int blocklengths[counts];
MPI_Aint displs[counts];
MPI_Datatype types[counts];
for(i=0; i<5; i++) {
blocklengths[i] = 1;
types[i] = MPI_UNSIGNED;
}
for(i=5; i<counts; i++) {
blocklengths[i] = 1;
types[i] = MPI_INT;
}
// Obtain base direction
MPI_Get_address(&(mall_conf->spawn_method), &displs[0]);
MPI_Get_address(&(mall_conf->spawn_strategies), &displs[1]);
MPI_Get_address(&(mall_conf->spawn_dist), &displs[2]);
MPI_Get_address(&(mall_conf->red_method), &displs[3]);
MPI_Get_address(&(mall_conf->red_strategies), &displs[4]);
MPI_Get_address(&(mall->root_parents), &displs[5]);
MPI_Get_address(&(mall->num_parents), &displs[6]); //TODO Add only when Single strat active?
MPI_Get_address(&(mall->numC), &displs[7]); //TODO Add only when MultipleSpawn strat active?
MPI_Get_address(&(mall->gid), &displs[8]); //TODO Add only when ParallelSpawn strat active?
MPI_Get_address(&(mall->num_cpus), &displs[9]);
MPI_Get_address(&(mall->num_nodes), &displs[10]);
MPI_Get_address(&(mall->nodelist_len), &displs[11]);
MPI_Type_create_struct(counts, blocklengths, displs, types, &mall->struct_type);
MPI_Type_commit(&mall->struct_type);
}
void MAM_Free_main_datatype() {
if(mall->struct_type != MPI_DATATYPE_NULL) {
MPI_Type_free(&mall->struct_type);
}
}
/*
* Comunica datos necesarios de las estructuras
* principales de MAM de sources a targets.
*/
void MAM_Comm_main_structures(MPI_Comm comm, int rootBcast) {
MPI_Bcast(MPI_BOTTOM, 1, mall->struct_type, rootBcast, comm);
if(mall->nodelist == NULL) {
mall->nodelist = malloc((mall->nodelist_len) * sizeof(char));
mall->nodelist[mall->nodelist_len-1] = '\0';
}
MPI_Bcast(mall->nodelist, mall->nodelist_len, MPI_CHAR, rootBcast, comm);
}
/*
* Muestra por pantalla el estado actual de todos los comunicadores
*/
void MAM_print_comms_state() {
int tester;
char *comm_name = malloc(MPI_MAX_OBJECT_NAME * sizeof(char));
MPI_Comm_get_name(mall->comm, comm_name, &tester);
printf("P%d Comm=%d Name=%s\n", mall->myId, mall->comm, comm_name);
MPI_Comm_get_name(*(mall->user_comm), comm_name, &tester);
printf("P%d Comm=%d Name=%s\n", mall->myId, *(mall->user_comm), comm_name);
if(mall->intercomm != MPI_COMM_NULL) {
MPI_Comm_get_name(mall->intercomm, comm_name, &tester);
printf("P%d Comm=%d Name=%s\n", mall->myId, mall->intercomm, comm_name);
}
free(comm_name);
}
/*
* Función para modificar los comunicadores principales de MaM
*/
void MAM_comms_update(MPI_Comm comm) {
if(mall->thread_comm != MPI_COMM_WORLD) MPI_Comm_disconnect(&(mall->thread_comm));
if(mall->comm != MPI_COMM_WORLD) MPI_Comm_disconnect(&(mall->comm));
MPI_Comm_dup(comm, &(mall->thread_comm));
MPI_Comm_dup(comm, &(mall->comm));
MPI_Comm_set_name(mall->thread_comm, "MAM_THREAD");
MPI_Comm_set_name(mall->comm, "MAM_MAIN");
}
#ifndef MAM_DATA_STRUCTURES_H
#define MAM_DATA_STRUCTURES_H
/*
* Shows available data structures for inner ussage.
*/
#include <stdlib.h>
#include <stdio.h>
#include <mpi.h>
#include <pthread.h>
#include "MAM_Constants.h"
#define DEBUG_FUNC(debug_string, rank, numP) printf("MaM [P%d/%d]: %s -- %s:%s:%d\n", rank, numP, debug_string, __FILE__, __func__, __LINE__)
/* --- MAM INNER CONSTANTS --- */
#define MAM_ROOT 0
enum mam_inner_states{MAM_I_UNRESERVED, MAM_I_NOT_STARTED, MAM_I_RMS_COMPLETED, MAM_I_SPAWN_PENDING, MAM_I_SPAWN_SINGLE_PENDING,
MAM_I_SPAWN_SINGLE_COMPLETED, MAM_I_SPAWN_ADAPT_POSTPONE, MAM_I_SPAWN_COMPLETED, MAM_I_DIST_PENDING, MAM_I_DIST_COMPLETED,
MAM_I_SPAWN_ADAPT_PENDING, MAM_I_USER_START, MAM_I_USER_PENDING, MAM_I_USER_COMPLETED, MAM_I_SPAWN_ADAPTED, MAM_I_COMPLETED};
#define MAM_USE_VALGRIND 1
#define MAM_USE_EXTRAE 2
#define MAM_VALGRIND_SCRIPT "./worker_valgrind.sh"
#define MAM_EXTRAE_SCRIPT "./worker_extrae.sh"
/* --- TIME CAPTURE STRUCTURE --- */
typedef struct {
// Spawn, Sync and Async time
double spawn_start, spawn_time;
double sync_start, sync_end;
double async_start, async_end;
double user_start, user_end;
double malleability_start, malleability_end;
MPI_Datatype times_type;
} malleability_times_t;
/* --- GLOBAL STRUCTURES --- */
typedef struct {
unsigned int spawn_method;
unsigned int spawn_dist;
unsigned int spawn_strategies;
unsigned int red_method;
unsigned int red_strategies;
int external_usage; // Whether a different application should be called by Spawn and which
malleability_times_t *times;
} malleability_config_t;
typedef struct {
int myId, numP, numC, zombie;
int root, root_collectives;
int num_parents, root_parents, gid;
pthread_t async_thread;
MPI_Comm comm, thread_comm, original_comm;
MPI_Comm intercomm, tmp_comm;
MPI_Comm *user_comm;
MPI_Datatype struct_type;
// Specific vars for Wait_targets strat
int wait_targets_posted;
MPI_Request wait_targets;
char *name_exec, *nodelist;
int num_cpus, num_nodes, nodelist_len;
int internode_group;
} malleability_t;
/* --- VARIABLES --- */
extern malleability_config_t *mall_conf;
extern malleability_t *mall;
extern int state;
/* --- FUNCTIONS --- */
void MAM_Def_main_datatype();
void MAM_Free_main_datatype();
void MAM_Comm_main_structures(MPI_Comm comm, int rootBcast);
void MAM_print_comms_state();
void MAM_comms_update(MPI_Comm comm);
#endif
#ifndef MAM_INIT_CONFIGURATION_H
#define MAM_INIT_CONFIGURATION_H
#include <mpi.h>
#include "MAM_Constants.h"
void MAM_Init_configuration();
void MAM_Set_initial_configuration();
void MAM_Check_configuration();
#endif
This diff is collapsed.
#ifndef MAM_MANAGER_H
#define MAM_MANAGER_H
#include <stdio.h>
#include <stdlib.h>
#include <mpi.h>
#include <fcntl.h>
#include <sys/stat.h>
#include <mpi.h>
typedef struct {
int numS, numT;
int rank_state;
MPI_Comm comm;
} mam_user_reconf_t;
int MAM_Init(int root, MPI_Comm *comm, char *name_exec, void (*user_function)(void *), void *user_args);
int MAM_Finalize();
int MAM_Checkpoint(int *mam_state, int wait_completed, void (*user_function)(void *), void *user_args);
void MAM_Resume_redistribution(int *mam_state);
int MAM_Get_Reconf_Info(mam_user_reconf_t *reconf_info);
void MAM_Data_add(void *data, size_t *index, size_t total_qty, MPI_Datatype type, int is_replicated, int is_constant);
void MAM_Data_modify(void *data, size_t index, size_t total_qty, MPI_Datatype type, int is_replicated, int is_constant);
void MAM_Data_get_entries(int is_replicated, int is_constant, size_t *entries);
void MAM_Data_get_pointer(void **data, size_t index, size_t *total_qty, MPI_Datatype *type, int is_replicated, int is_constant);
#endif
Supports Markdown
0% or .
You are about to add 0 people to the discussion. Proceed with caution.
Finish editing this message first!
Please register or to comment