From T3_KR_KNU
Created page with "== HTCondor 에서 GPU 사용하기 == === Ex 1) Matrix === matrix.py import numpy as np from timeit import default_timer as timer from numba import vectorize @vector..." |
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duration = timer() - start | duration = timer() - start | ||
print(duration) | print(duration) | ||
matrix.sh | |||
#!/bin/bash | |||
python3.6 -m virtualenv myvenv | |||
source myvenv/bin/activate | |||
pip3 install numba | |||
python3.6 matrix.py | |||
matrix.sub | |||
executable = matrix.sh | |||
arguments = $(ClusterId)$(ProcId) | |||
output = matrix.$(ClusterId).$(ProcId).out | |||
error = matrix.$(ClusterId).$(ProcId).err | |||
log = matrix.$(ClusterId).log | |||
should_transfer_files = YES | |||
transfer_input_files = matrix.py | |||
when_to_transfer_output = ON_EXIT | |||
request_GPUs = 1 | |||
request_CPUs = 1 | |||
queue | |||
Revision as of 02:03, 12 May 2021
HTCondor 에서 GPU 사용하기
Ex 1) Matrix
matrix.py
import numpy as np
from timeit import default_timer as timer
from numba import vectorize
@vectorize(['float32(float32, float32)'], target='cuda')
def pow(a, b):
return a ** b
vec_size = 100000000
a = b = np.array(np.random.sample(vec_size), dtype=np.float32)
c = np.zeros(vec_size, dtype=np.float32)
start = timer()
c = pow(a,b)
duration = timer() - start
print(duration)
matrix.sh
#!/bin/bash python3.6 -m virtualenv myvenv source myvenv/bin/activate pip3 install numba python3.6 matrix.py
matrix.sub
executable = matrix.sh arguments = $(ClusterId)$(ProcId) output = matrix.$(ClusterId).$(ProcId).out error = matrix.$(ClusterId).$(ProcId).err log = matrix.$(ClusterId).log should_transfer_files = YES transfer_input_files = matrix.py when_to_transfer_output = ON_EXIT request_GPUs = 1 request_CPUs = 1 queue