JAVA MULTITHREDED PROGRAMMING - LECTURES

Multithreading in Java
Nelson Padua-Perez
Bill Pugh
Department of Computer Science
University of Maryland, College Park

Problem
Multiple tasks for computer
Draw & display images on screen
Check keyboard & mouse input
Send & receive data on network
Read & write files to disk
Perform useful computation (editor, browser, game)
How does computer do everything at once?
Multitasking
Multiprocessing

Multitasking (Time-Sharing)
Approach
Computer does some work on a task
Computer then quickly switch to next task
Tasks managed by operating system (scheduler)
Computer seems to work on tasks concurrently
Can improve performance by reducing waiting

Multitasking Can Aid Performance
Single task
Two tasks

Multiprocessing (Multithreading)
Approach
Multiple processing units (multiprocessor)
Computer works on several tasks in parallel
Performance can be improved
4096 processor
Cray X1
32 processor
Pentium Xeon
Dual-core AMD
Athlon X2

Perform Multiple Tasks Using…
Process
Definition – executable program loaded in memory
Has own address space
Variables & data structures (in memory)
Each process may execute a different program
Communicate via operating system, files, network
May contain multiple threads

Perform Multiple Tasks Using…
Thread
Definition – sequentially executed stream of
instructions
Shares address space with other threads
Has own execution context
Program counter, call stack (local variables)
Communicate via shared access to data
Multiple threads in process execute same program
Also known as “lightweight process”

Web Server uses
threads to handle …
Multiple simultaneous
web browser requests
Motivation for Multithreading
Captures logical structure of problem
May have concurrent interacting components
Can handle each component using separate thread
Simplifies programming for problem
Example

Multiple simultaneous
web browser requests…
Handled faster by
multiple web servers
Motivation for Multithreading
Better utilize hardware resources
When a thread is delayed, compute other threads
Given extra hardware, compute threads in parallel
Reduce overall execution time
Example

Multithreading Overview
Motivation & background
Threads
Creating Java threads
Thread states
Scheduling
Synchronization
Data races
Locks
Wait / Notify

Programming with Threads
Concurrent programming
Writing programs divided into independent tasks
Tasks may be executed in parallel on multiprocessors
Multithreading
Executing program with multiple threads in parallel
Special form of multiprocessing

Creating Threads in Java
You have to specify the work you want the
thread to do
Define a class that implements the Runnable
interface
public interface Runnable {
public void run();
}
Put the work in the run method
Create an instance of the worker class and
create a thread to run it
or hand the worker instance to an executor

Thread Class
public class Thread {
public Thread(Runnable R); // Thread  R.run()
public Thread(Runnable R, String name);
public void start(); // begin thread execution
...
}

More Thread Class Methods
public class Thread {
…
public String getName();
public void interrupt();
public boolean isAlive();
public void join();
public void setDaemon(boolean on);
public void setName(String name);
public void setPriority(int level);
public static Thread currentThread();
public static void sleep(long milliseconds);
public static void yield();
}

Creating Threads in Java
Runnable interface
Create object implementing Runnable interface
Pass it to Thread object via Thread constructor
Example
public class MyT implements Runnable {
public void run() {
… // work for thread
}
}
Thread t = new Thread(new MyT()); // create thread
t.start(); // begin running thread
… // thread executing in parallel

Alternative (Not Recommended)
Directly extend Thread class
public class MyT extends Thread {
public void run() {
… // work for thread
}
}
MyT t = new MyT(); // create thread
t.start(); // begin running thread

Why not recommended?
Not a big problem for getting started
but a bad habit for industrial strength development
The methods of the worker class and the
Thread class get all tangled up
Makes it hard to migrate to Thread Pools and
other more efficient approaches

Threads – Thread States
Java thread can be in one of these states
New – thread allocated & waiting for start()
Runnable – thread can execute
Blocked – thread waiting for event (I/O, etc.)
Terminated – thread finished
Transitions between states caused by
Invoking methods in class Thread
start(), yield(), sleep()
Other (external) events
Scheduler, I/O, returning from run()…

Threads – Thread States
State diagram
runnable
new
terminated
blocked
new start
terminate
IO, sleep, join,
request lock
IO complete,
sleep expired,
join complete,
acquire lock

Threads – Scheduling
Scheduler
Determines which runnable threads to run
Can be based on thread priority
Part of OS or Java Virtual Machine (JVM)
Many computers can run multiple threads
simultaneously (or nearly so)

Java Thread Example
public class ThreadExample implements Runnable {
public void run() {
for (int i = 0; i < 3; i++)
System.out.println(i);
}
public static void main(String[] args) {
new Thread(new ThreadExample()).start();
new Thread( new ThreadExample()).start();
System.out.println("Done");
}
}

Java Thread Example – Output
Possible outputs
0,1,2,0,1,2,Done // thread 1, thread 2, main()
0,1,2,Done,0,1,2 // thread 1, main(), thread 2
Done,0,1,2,0,1,2 // main(), thread 1, thread 2
0,0,1,1,2,Done,2 // main() & threads interleaved
thread 1: println 0, println 1, println 2
main (): thread 1, thread 2, println Done
thread 2: println 0, println 1, println 2

Daemon Threads
Why doesn’t the program quit as soon as Done is
printed?
Java threads types
User
Daemon
Provide general services
Typically never terminate
Call setDaemon() before start()
Program termination
If all non-daemon threads terminate, JVM shuts down

Might not see different interleavings
The threads in that example are too short
Each started thread will probably complete
before the next thread starts
Let’s make more threads that run longer

Data Races
public class DataRace implements Runnable {
static volatile int x;
public void run() {
for (int i = 0; i < 10000; i++) {
x++;
x--;
}
}
public static void main(String[] args) throws Exception {
Thread [] threads = new Thread[100];
for (int i = 0; i < threads.length; i++)
threads[i] = new Thread(new DataRace());
threads[i].start();
threads[i].join();
System.out.println(x); // x not always 0!
}
}

Why volatile
We’ll spend more time on volatile later
But volatile tells the compiler:
other threads might see reads/writes of this variable
don’t change/reorder eliminate the reads and writes
An optimizing compiler should, if it sees
x++; x--;
replace it with a no-op
if x isn’t volatile

Thread Scheduling Observations
Order thread is selected is indeterminate
Depends on scheduler, timing, chance
Scheduling is not guaranteed to be fair
Some schedules/interleavings can cause
unexpected and bad behaviors
Synchronization
can be used to control thread execution order

Using Synchronization
public class DataRace implements Runnable {
static volatile int x;
static Object lock = new Object();
public void run() {
for (int i = 0; i < 10000; i++)
synchronized(lock) {
x++; x--;
}
}
public static void main(String[] args) throws Exception {
Thread [] threads = new Thread[100];
threads[i] = new Thread(new DataRace());
threads[i].start();
threads[i].join();
System.out.println(x); // x always 0!
}
}

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