Transcript Threads
Chapter 4: Threads
Threads
A thread (or lightweight process) is a basic unit of CPU utilization; it
consists of:
program counter
register set
stack space
A thread shares with its peer threads its:
code section
data section
operating-system resources
A traditional or heavyweight process is equal to a task with one
thread
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Threads (Cont.)
In a multiple threaded process, while one server thread is blocked and
waiting, a second thread in the same process can run.
Cooperation of multiple threads in same job confers higher
throughput and improved performance.
Applications that require sharing a common buffer (i.e., producerconsumer) benefit from thread utilization.
Threads provide a mechanism that allows sequential processes to
make blocking system calls while also achieving parallelism.
Kernel-supported threads (Mach and OS/2).
User-level threads; supported above the kernel, via a set of library
calls at the user level (Project Andrew from CMU).
Hybrid approach implements both user-level and kernel-supported
threads (Solaris 2).
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Multiple Threads within a Process (task)
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Single and Multithreaded Processes
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Benefits
Responsiveness
Resource Sharing
Economy
Utilization of MP Architectures
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User Threads
Thread management is 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
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
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
Allows the operating system to create a sufficient number of
kernel threads
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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Threading Issues
Semantics of fork() and exec() system calls
Thread cancellation
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?
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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
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Signal Handling
Signals are used in UNIX systems to notify a process that a
particular event has occurred
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
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 threa to receive all signals for the process
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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
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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)
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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
This communication allows an application to maintain the
correct number kernel threads
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Pthreads
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 operating systems (Solaris, Linux,
Mac OS X)
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Pthread Example
/**
* A pthread program illustrating how to
* create a simple thread and some of the pthread API
* This program implements the summation function where
* the summation operation is run as a separate thread.
*
* Compilation:
* gcc –lpthread thrd-posix.c
*
*/
#include <pthread.h>
#include <stdio.h>
int sum; /* this data is shared by the thread(s) */
void *runner(void *param); /* the thread */
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Pthread Example (cont.)
int main(int argc, char *argv[]) {
pthread_t tid; /* the thread identifier */
pthread_attr_t attr; /* set of attributes for the thread */
if (argc != 2) {
fprintf(stderr,"usage: a.out <integer value>\n"); return -1;
}
if (atoi(argv[1]) < 0) {
fprintf(stderr,"Argument %d must be non-negative\n",atoi(argv[1])); return -1;
}
/* get the default attributes */
pthread_attr_init(&attr);
/* create the thread */
pthread_create(&tid,&attr,runner,argv[1]);
/* now wait for the thread to exit */
pthread_join(tid,NULL);
printf("sum = %d\n",sum);
return 0;
}
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Pthread Example (cont.)
/**
* The thread will begin control in this function
*/
void *runner(void *param) {
int i, upper = atoi(param);
sum = 0;
if (upper > 0) {
for (i = 1; i <= upper; i++)
sum += i;
}
pthread_exit(0);
}
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Linux Threads
Linux refers to them as tasks rather than threads
Thread creation is done through clone() system call
clone() allows a child task to share the address space
of the parent task (process)
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Java Threads
Java threads are managed by the JVM
Java threads may be created by:
Extending Thread class
Implementing the Runnable interface
studied in the course: Advanced Programming
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Java Thread States
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End of Chapter 4