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Chapter 4: Threads
Operating System Concepts – 8th Edition,
Silberschatz, Galvin and Gagne ©2009
Outline
 Overview
 Multithreading Models
 Thread Libraries
 Threading Issues
 OS Examples

Windows XP Threads

Linux Threads
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Objectives
 To introduce the notion of a thread — a fundamental
unit of CPU utilization that forms the basis of
multithreaded computer systems
 To discuss the APIs for the Pthreads, Win32, and Java
thread libraries
 To examine issues related to multithreaded
programming
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Single and Multithreaded Processes
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Multithreaded Server Architecture
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Benefits
 Responsiveness

For interactive applications
 Resource Sharing

Memory, code, data, files, …
 Economy

For resource allocation and context switch
 Scalability

Parallelism
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Multicore Programming
 Multicore systems putting pressure on programmers,
challenges include

Dividing activities

Balance

Data splitting

Data dependency

Testing and debugging
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Concurrent Execution on a Single-core System
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Parallel Execution on a Multicore System
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User Threads
 Thread management done by user-level threads library
 Three primary thread libraries:

POSIX Pthreads

Win32 threads

Java threads
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Kernel Threads
 Supported by the kernel
 Examples

Windows XP/2000

Solaris

Linux

Tru64 UNIX

Mac OS X
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Multithreading Models
 Many-to-One
 One-to-One
 Many-to-Many
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Many-to-One
 Many user-level threads mapped to single kernel thread

Thread management by thread library in user space  efficient

No concurrency

Unable to run in MP
 Examples:

Solaris Green Threads

GNU Portable Threads
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Many-to-One Model
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One-to-One
 Each user-level thread maps to kernel thread

More concurrency

Able to run in MP

Overhead of creating kernel threads
 Examples

Windows NT/XP/2000

Linux

Solaris 9 and later
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One-to-One Model
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Many-to-Many Model
 Allows many user level threads to be mapped to many
kernel threads

Concurrency

Can run in MP

Developers can create as many user threads as necessary
 Examples

Solaris prior to version 9

Windows NT/2000 with the ThreadFiber package
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Many-to-Many Model
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Two-level Model
 Similar to M:M, except that it allows a user
thread to be bound to kernel thread
 Examples

IRIX

HP-UX

Tru64 UNIX

Solaris 8 and earlier
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Two-level Model
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Thread Libraries
 Thread library provides programmer with API for
creating and managing threads
 Two primary ways of implementation


Library entirely in user space

Function calls

Ex: Pthreads
Kernel-level library supported by the OS

System calls

Ex: Pthreads, Win32
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Pthreads
 May be provided either as user-level or kernel-level
 A POSIX standard (IEEE 1003.1c) API for thread creation
and synchronization

API specifies behavior of the thread library

Implementation is up to development of the library
 Common in UNIX OSs (Solaris, Linux, Mac OS X)
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Pthreads Example (Fig. 4.9)
 #include <pthread.h>
…
int main(int argc, char *argv[])
{
pthread_t tid;
pthread_attr_t attr;
…
pthread_attr_init(&attr);
pthread_create(&tid, &attr, runner, argv[1]);
pthread_join(tid, NULL);
…
}
void *runner(void *param)
{
…
pthread_exit(0);
}
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Win32 Thread Example (Fig. 4.10)
 #include <windows.h>
…
DWORD WINAPI Summation(LPVOID Param)
{…
}
int main(int argc, char *argv[])
{
DWORD ThreadId;
HANDLE ThreadHandle;
…
ThreadHandle = CreateThread(NULL, 0, Summation, &Param,
0, &ThreadId);
if (ThreadHandle !=NULL) {
WaitForSingleObject(ThreadHandle, INFINITE);
CloseHandle(ThreadHandle);
…
}
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Java Threads
 Java threads are managed by the JVM
 Typically implemented using the threads model
provided by underlying OS
 Java threads may be created by:

Extending Thread class

Implementing the Runnable interface
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Java Thread Example (Fig. 4.11)
 Class Summation implements Runnable
{
…
}
public class Driver
{
public static void main()
{
…
Thread thrd = new Thread(new Summation(upper, sumObject));
thrd.start();
try {
thrd.join();
…
} catch (InterruptedException ie) {}
…
}
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Threading Issues
 Semantics of fork() and exec() system calls
 Thread cancellation of target thread

Asynchronous or deferred
 Signal handling
 Thread pools
 Thread-specific data
 Scheduler activations
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Semantics of fork() and exec()
 Does fork() duplicate only the calling thread or all
threads?

Which of the two versions of fork() to use depends on the
application

Exec() immediately after fork()

No exec() after fork()
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Thread Cancellation
 Terminating a thread before it has finished
 Two general approaches:

Asynchronous cancellation terminates the target
thread immediately

Deferred cancellation allows the target thread to
periodically check if it should be cancelled
 Problems when resources have been
allocated to a canceled thread or while in the
midst of updating data sharing with other
threads
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Signal Handling
 Signals : to notify a process that a particular
event has occurred in UNIX systems
 A signal handler is used to process signals
1.
Signal is generated by particular event
2.
Signal is delivered to a process
3.
Signal is handled
 Synchronous vs. asynchronous signals
 Default vs. user-defined handlers
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 Options:

Deliver the signal to the thread to which the signal applies

Deliver the signal to every thread in the process

Deliver the signal to certain threads in the process

Assign a specific thread to receive all signals for the process
 ex:

kill(aid_t aid, int signal)

pthread_kill(pthread_t tid, int signal)
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Thread Pools
 Create a number of threads in a pool where they
await work
 Advantages:


Usually slightly faster to service a request with an existing
thread than create a new thread
Allows the number of threads in the application(s) to be
bound to the size of the pool
 Ex:


Win32 API:
QueueUserWorkItem(LPTHREAD_START_ROUTINE
Function, PVOID Param, ULONG Flags)
Java 1.5: java.util.concurrent package
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Thread Specific Data
 Allows each thread to have its own copy of data
 Useful when you do not have control over the
thread creation process (i.e., when using a
thread pool)
 Most thread libraries provide some form of
support for thread-specific data
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Scheduler Activations
 Both M:M and two-level models require communication
to maintain the appropriate number of kernel threads
allocated to the application
 Scheduler activations provide upcalls - a communication
mechanism from the kernel to the thread library

An intermediate data structure called LWP (Lightweight
Process) between user thread and kernel thread
 This communication allows an application to maintain
the correct number of kernel threads
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Operating System Examples
 Windows XP Threads
 Linux Thread
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Windows XP Threads
 Implements the one-to-one mapping, kernel-level
 Each thread contains

A thread id

Register set

Separate user and kernel stacks

Private data storage area
Context of the
threads
 The primary data structures of a thread include:

ETHREAD (executive thread block)

KTHREAD (kernel thread block)

TEB (thread environment block)
Operating System Concepts – 8th Edition
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Windows XP Threads
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Linux Threads
 Linux refers to them as tasks rather than threads

Linux doesn’t distinguish between process and thread
 Thread creation is done through clone() system call
 clone() allows a child task to share the address space of
the parent task (process)

CLONE_FS, CLONE_VM, CLONE_SIGHAND, CLONE_FILES
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Linux Threads
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End of Chapter 4
Operating System Concepts – 8th Edition,
Silberschatz, Galvin and Gagne ©2009