Python blocked 예제들

예제 #1

from __future__ import division
import pyopencl as cl

#import matplotlib.pyplot as plt

import numpy as np
from blocked_sum import blocked

best_T = float("inf")
best_params = (1, 16)
bandwidths = []
#hx = np.random.uniform(0, 1, N).astype(np.float32)
for n in xrange(100, N + 1):
    hx = np.random.uniform(0, 1, n).astype(np.float32)
    bandwidths.append((n, blocked(n, 64, 1024, hx)[0]))

print "ALL BANDWIDTHS = ", bandwidths

예제 #2

파일: grid_search.py 프로젝트: anupamurali/Homework-

from __future__ import division
import pyopencl as cl

import numpy as np
from coalesced_sum import coalesced
from blocked_sum import blocked

# We use either blocked or coalesced
# Run with is_blocked = True to run from blocked_sum

is_blocked = False
best_T = float("inf")
best_params = (1, 16)
N = 10000000
hx = np.random.uniform(0, 1, N).astype(np.float32)
for i in xrange(8):
    for j in xrange(4, 17):
        W = 2**i
        Ng = 2**j
        if is_blocked:
            T = blocked(N, W, Ng, hx)[1]
            print "THIS IS T = ", T
        else:
            T = coalesced(N, W, Ng, hx)[1]
    if T < best_T:
        best_T = T
        best_params = (W, Ng)
print "NUMPY RESULT = ", np.sum(hx)
print "BEST PARAMS = ", best_params
print "BEST TIME = ", best_T

예제 #3

파일: grid_search.py 프로젝트: anupamurali/Homework-

import numpy as np 
from coalesced_sum import coalesced
from blocked_sum import blocked

# We use either blocked or coalesced
# Run with is_blocked = True to run from blocked_sum

is_blocked = False
best_T = float("inf")
best_params = (1,16)
N = 10000000
hx = np.random.uniform(0, 1, N).astype(np.float32)
for i in xrange(8):
	for j in xrange(4,17):
		W = 2**i
		Ng = 2**j
		if is_blocked:
		    T = blocked(N, W, Ng, hx)[1]
		    print "THIS IS T = ",T
		else:
			T = coalesced(N, W, Ng, hx)[1]
        if T < best_T:
            best_T = T
            best_params = (W, Ng)
print "NUMPY RESULT = ",np.sum(hx)
print "BEST PARAMS = ",best_params
print "BEST TIME = ", best_T

예제 #4

파일: plot_blocked.py 프로젝트: anupamurali/Homework-

from __future__ import division
import pyopencl as cl

#import matplotlib.pyplot as plt

import numpy as np 
from blocked_sum import blocked

best_T = float("inf")
best_params = (1,16)
bandwidths = []
#hx = np.random.uniform(0, 1, N).astype(np.float32)
for n in xrange(100,N+1):
    hx = np.random.uniform(0, 1, n).astype(np.float32)
    bandwidths.append((n, blocked(n, 64, 1024, hx)[0]))

print "ALL BANDWIDTHS = ",bandwidths