K-Wu

{
    // from https://stackoverflow.com/a/60438516
    "terminal.integrated.env.linux": {
        "BASH_INIT_COMMAND": "source ~/conda_init.sh && conda activate exp_prelim" 
    },
    "python.analysis.typeCheckingMode": "basic",
    "python.defaultInterpreterPath": "/home/kwu/anaconda3/envs/exp_prelim/bin/python",
}

K-Wu

#sudo cpupower frequency-set --governor performance
#sudo nvidia-smi --persistence-mode=1
#sudo nvidia-smi --compute-mode=1
#sudo nvidia-smi -lgc 1395,1395

# write benchmark logic here


#sudo cpupower frequency-set --governor powersave
#sudo nvidia-smi -rgc

K-Wu

abysmal
adverse
alarming
angry
annoy
anxious
apathy
appalling
atrocious
awful

K-Wu

/*
 * From https://www.open-mpi.org/faq/?category=runcuda
 * Command:
 * $ mpic++ cuda_aware_check.cpp 
 * $ mpirun a.out
 * Program that shows the use of CUDA-aware macro and runtime check.
 * Requires Open MPI v2.0.0 or later.
 */
#include <stdio.h>
#include "mpi.h"

K-Wu

import numpy as np
import os
import math

def do_unmount_mount(mount_dev,mount_point):
    os.system("sudo mount {mount_dev} {mount_point}".format(mount_dev=mount_dev, mount_point=mount_point))
    os.system("sudo umount {mount_point}".format(mount_point=mount_point))

def do_write_read_test(file_name, file_name2, pos_list_beg, pos_list_end, pos_list2_beg, pos_list2_end, block_char_num, file_content, file_content2, mount_dev, mount_point, remount_prob, is_seek):
    if is_seek:

K-Wu

from bs4 import BeautifulSoup
import requests
import xlsxwriter
import bs4
def get_options_url():
    BASEURL = "https://software.intel.com"
    URL = "https://software.intel.com/en-us/cpp-compiler-developer-guide-and-reference-alphabetical-list-of-compiler-options"
    response = requests.get(URL)
    soup = BeautifulSoup(response.content, 'html.parser')

K-Wu

# Reference 1: https://dev.labs.cognitive.microsoft.com/docs/services/56332331778daf02acc0a50b/operations/565d9001ca73072048922d97
# Reference 2: https://docs.microsoft.com/en-us/azure/cognitive-services/academic-knowledge/paperentityattributes

key1 = 'put_your_key_here'
key2 = 'put_your_key_here'
key = 'put_your_key_here'
CS_CATEGORIES = ["artificial intelligence", "computer hardware", "computer vision", "computer network",
                 "real-time computing", "distributed computing", "pattern recognition", "data mining",
                 "machine learning", "embedded system", "knowledge management", "multimedia", "library science",
                 "simulation", "algorithm", "database", "world wide web", "computer security", "speech recognition",

K-Wu

void relu_impl_ref(float* output,float* data, size_t size) {
#pragma omp parallel for
	for (size_t i = 0; i < size; i++)
	{
		if (data[i] < 0)
		{
			output[i] = 0;
		}
		else {
			output[i] = data[i];

K-Wu

#!/usr/bin/env python2.7
# -*- coding: utf-8 -*-
from __future__ import print_function
from __future__ import unicode_literals

'''
author: K-Wu
filename: monitor
Python version: 2.7
IDE version: PyCharm

K-Wu

#! /usr/bin/env python3
# -*- coding: utf-8 -*-
#Wu Kun,2015010625 ee@tsinghua
#This is a multithread implement of dbrt.py
import json
import queue
import time
import urllib.request as req
from bs4 import BeautifulSoup
import threading