def datos(numero):
lista_N=[2,5,10,12,15,20,30,40,45,50,55,60,75,100,125,160,200,250,350,500,600,800,1000]
lista_final_tiempo=[]
archivo_str='datos_'+str(numero)+'.txt'
archivo=open(archivo_str,'w')
lista_tiempo=[]
for N in lista_N:
A = np.random.rand(N,N)
B = np.random.rand(N,N)
t1 = perf_counter()
C=mimatmul(A,B)
t2 = perf_counter()
dt = t2 - t1
palabra=str(str(dt)+','+str(N)+'\n')
archivo.write(palabra)
lista_tiempo.append(dt)
archivo.flush()
archivo.close()
from time import perf_counter
import matplotlib.pyplot as plt
from mimatmul import mimatmul
Corridas = 10
for k in range(Corridas):
N = [
2, 5, 10, 12, 15, 20, 30, 40, 45, 50, 55, 60, 75, 100, 125, 160, 200,
250, 350, 500, 600
] #,800,1000,2000,5000,10000]
memoria = []
tiempos = []
for i in range(len(N)):
A = matrix(rand(N[i], N[i]))
B = matrix(rand(N[i], N[i]))
t1 = perf_counter()
C = mimatmul(A, B)
t2 = perf_counter()
dt = t2 - t1
tam = 3 * (N[i]**2) * 8
tiempos.append(dt)
memoria.append(tam)
a = open(f"matmul{k}.txt", "w")
for i in range(len(N)):
a.write(f"{N[i]} {tiempos[i]} {memoria[i]}.\n")
a.close()
Tcorridas = []
Mcorridas = []
for i in range(Corridas):
t = []
m = []
from mimatmul import mimatmul
i = 1
while i <= 10:
lista = []
listamem = []
Ns = [
1, 2, 3, 4, 6, 8, 10, 12, 14, 16, 18, 20, 25, 30, 35, 40, 45, 50, 60,
70, 80, 90, 100, 200, 500, 1000
]
for N in Ns:
A = matrix(rand(N, N))
B = matrix(rand(N, N))
t1 = perf_counter()
C = mimatmul(A, B, N)
t2 = perf_counter()
dt = t2 - t1
size = 3 * (N**2) * 8
lista.append(dt)
listamem.append(size)
x = [
"", "", "", "", "", "", "10", "", "", "", "", "20", "", "", "", "",
"", "50", "", "", "", "", "100", "200", "500", "1000"
]
x1 = ["", "", "", "", "", "", "", "", "", "", "", "", ""]
y = [0.1e-3, 1e-3, 1e-2, 0.1, 1., 10, 60, 60 * 10, 60 * 60]
ejey = [
"0.1 ms", "1 ms", "10 ms", "0.1 s", "1 s", "10 s", "1 min",
"10 min", "1 h"
]
Ncorridas = 10
for i in range(Ncorridas):
fid = open(f"matmul{i}.txt", "w")
dts = [] #timepo que se demora para cada matriz de tamaño N
mem = [] # memoria que usa para cada matriz de tamaño N
for N in Ns:
print(f"N={N}")
A = rand(N, N)
B = rand(N, N)
t1 = perf_counter()
mimatmul(A, B)
t2 = perf_counter()
dt = t2 - t1
size = 3 * (N**2) * 8
dts.append(dt)
mem.append(size)
fid.write(f"{N} {dt} {size} \n")
print(f"Tiempo transcurrido = {dt} s")
print(f"Memoria usada = {size} bytes")
fid.flush()
datos = open("datos2_corrida9.txt", "w")
N = [
2, 5, 10, 12, 15, 20, 25, 30, 40, 50, 60, 70, 80, 90, 100, 125, 150, 175,
200, 300, 400, 500, 650, 800, 1000
]
for n in N:
print(f"N = {n}")
A = rand(n, n)
B = rand(n, n)
result = np.zeros(shape=(n, n))
t1 = perf_counter()
mimatmul(A, B, result)
t2 = perf_counter()
dt = t2 - t1
ram = 3 * (n**2) * 8
dts.append(dt)
mem.append(ram)
datos.write(f"{n} {dt} {ram}\n")
print(f"Tiempo transcurrido = {dt} s")
print(f"Memoria RAM usada = {ram} bytes")
datos.flush()
