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run_experiments_platforms_cpu.py
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#!/usr/bin/env python3
# coding: utf-8
import subprocess
import re
import json
import os
import numpy as np
from tqdm import tqdm
from datetime import datetime
import argparse
# ---------- ---------- ----------
# PREPARE results
# ---------- ---------- ----------
def runExperiment(
algorithm,
implementation,
platform,
vendor,
mode,
precision,
experimentSizes,
repetitions,
callstring,
info
):
experiment = {}
experiment['algo'] = algorithm
experiment['implementation'] = implementation
experiment['precision'] = precision
experiment['platform'] = platform
experiment['vendor'] = vendor
experiment['repetitions'] = repetitions
experiment['n'] = experimentSizes
experiment['callstring'] = callstring
experiment['info'] = info
now = datetime.now()
experiment['date'] = now.strftime("%d/%m/%Y %H:%M:%S")
timingsAll = []
runtimeAll = []
passedAll = []
print("\n----- EXPERIMENT -----")
print("Running", algorithm, ": ", implementation," on ", platform, " in ", mode, ", #sizes:", len(experimentSizes))
for size in experimentSizes:
print("Size:", size, end='\n')
timings = []
runtimes = []
passed = []
for i in tqdm(range(0, repetitions)):
runString = "" + callstring + " " + str(size) + " "
runString += "-p " + platform + " "
runString += "-v " + vendor + " "
runString += "-m " + mode + " "
runString += "-t " + precision + " "
runString += "-c " + " "
runProc = subprocess.run(runString, shell=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
output = runProc.stdout.decode('utf-8')
# kernelTimeString = re.findall('Kernel executed in \d+\.\d+ seconds.', output)[0]
# kernelTime = float(re.findall('\d+\.\d+', kernelTimeString)[0])
runtimeString = re.findall('Runtime: \d+\.\d+', output)[0]
runtime = float(re.findall('\d+\.\d+', runtimeString)[0])
# print("Kernel: ", kernelTime)
# print("Total: ", runtime)
kernelPassed = bool(re.findall('Passed Test: True', output))
if not kernelPassed:
print("\n\t--> ATTENTION, found failed experiment at N=", size)
print(output)
# timings.append(kernelTime)
runtimes.append(runtime)
passed.append(kernelPassed)
# print("\tMedian runtime for N=", size, " > ", np.median(timings), "seconds")
runtimeAll.append(runtimes)
# timingsAll.append(timings)
passedAll.append(passed)
print("Finished, median runtimes:")
for runtime, timing, size in zip(runtimeAll, timingsAll, experimentSizes):
print("N=", "{0:>14}".format(str(size)), " > ", -1, " seconds; total >", np.median(runtime))
print("----- DONE -----\n")
# experiment['timings'] = timingsAll
experiment['runtimes'] = runtimeAll
experiment['passed'] = passedAll
return experiment
def getNextFileName(filename):
i = 0
while os.path.exists(filename + "_" + str(i)):
i += 1
return filename + "_" + str(i)
def main(vendor):
# ---------- ---------- ----------
# EXPERIMENT RUNS
# ---------- ---------- ----------
experiments = []
# Cannot run GPU implementation for these larger sizes
# Comment out GPU version if running with these sizes
Ns = [int(2**13), int(2**14), int(24576), int(2**15), int(40960)]
# If running with GPU implementation
# Ns = [int(2**13), int(2**14), int(24576)]
print("\n----- RUNNING: {} -----".format(vendor))
# SYNTHETIC BENCHMARK
# FPGA
# ---------- ---------- ----------
# algorithm = "synthetic1Bench"
# implementation = "fpga-stream"
# platform = "FPGA"
# mode = "hardware"
# repetitons = 10
# callstring = "./performance_synthetic1.py"
# precision = "single"
# experimentSizes = Ns
# info = "Synthetic benchmark synthetic1, FPGA"
# res = runExperiment(
# algorithm,
# implementation,
# platform,
# vendor,
# mode,
# precision,
# experimentSizes,
# repetitons,
# callstring,
# info
# )
# experiments.append(res)
# # GPU
# # ---------- ---------- ----------
# algorithm = "synthetic1Bench"
# implementation = "cublas"
# platform = "GPU"
# mode = "hardware"
# repetitons = 10
# callstring = "./performance_synthetic1_gpu.py"
# precision = "single"
# experimentSizes = Ns
# info = "Synthetic benchmark synthetic1, GPU"
# res = runExperiment(
# algorithm,
# implementation,
# platform,
# vendor,
# mode,
# precision,
# experimentSizes,
# repetitons,
# callstring,
# info
# )
# experiments.append(res)
# # CPU
# # ---------- ---------- ----------
algorithm = "synthetic1Bench"
implementation = "openblas"
platform = "CPU"
mode = "hardware"
repetitons = 10
callstring = "./performance_synthetic1_cpu.py"
precision = "single"
experimentSizes = Ns
info = "Synthetic benchmark synthetic1, CPU"
res = runExperiment(
algorithm,
implementation,
platform,
vendor,
mode,
precision,
experimentSizes,
repetitons,
callstring,
info
)
experiments.append(res)
# ---------- ---------- ----------
# DUMP all runs to file
# ---------- ---------- ----------
outfile = 'largeBench_single_openblas'
outfile = getNextFileName(outfile)
with open(outfile + ".json", 'w') as f:
f.write(json.dumps(experiments))
# ---------- ---------- ----------
# PROGRAM START
# ---------- ---------- ----------
if __name__ == "__main__":
cmdParser = argparse.ArgumentParser()
cmdParser.add_argument("-v", "--vendor", dest="vendor", default="xilinx", help="FPGA Vendor (xilinx, intel_fpga)")
args = cmdParser.parse_args()
vendor = args.vendor
main(vendor)