Shangjin Tang ShangjinTang

## iris_dash.py
#!/usr/bin/env python3

import pandas as pd
import plotly.express as px
from sklearn.datasets import load_iris

import dash
from dash import dcc, html

# Load the Iris dataset

## ExampleHandlerThread.java
package com.example.handlerthread;

import android.os.Handler;
import android.os.HandlerThread;
import android.os.Looper;
import android.util.Log;

public class ExampleHandlerThread extends HandlerThread {

    private static final String TAG = "ExampleLooperThread";

## #TF_Torch_GPU_Installation
Install TensorFlow GPU and PyTorch GPU on a NVIDIA Graphics Card available computer.

## cuda_parallel.cu
#include <cstdio>
#include "cuda.h"

__global__
void loop_on_device()
{
    printf("Device(GPU) iteration number %d\n", blockIdx.x * blockDim.x + threadIdx.x);
}

void loop_on_host(int length)
	#!/usr/bin/env python3

	import pandas as pd
	import plotly.express as px
	from sklearn.datasets import load_iris

	import dash
	from dash import dcc, html

	# Load the Iris dataset
	package com.example.handlerthread;

	import android.os.Handler;
	import android.os.HandlerThread;
	import android.os.Looper;
	import android.util.Log;

	public class ExampleHandlerThread extends HandlerThread {

	private static final String TAG = "ExampleLooperThread";
	#include <cstdio>
	#include "cuda.h"

	__global__
	void loop_on_device()
	{
	printf("Device(GPU) iteration number %d\n", blockIdx.x * blockDim.x + threadIdx.x);
	}

	void loop_on_host(int length)