This chapter discusses threads and multithreaded programming. It covers thread models like many-to-one, one-to-one and many-to-many. Common thread libraries like Pthreads, Windows and Java threads are explained. Implicit threading techniques such as thread pools and OpenMP are introduced. Issues with multithreaded programming like signal handling and thread cancellation are examined. Finally, threading implementations in Windows and Linux are overviewed.
This lecture is the first part of an introduction to SVC tools with a focus on Git and GitHub. This Lecture discusses the basic concepts as well as Installation and initial configuration of Git
A thread is a portion of code that may be executed independently of the main program.
For example, a program may have an open thread waiting for a specific event to occur or running a separate job, allowing the main program to perform other tasks.
A program is capable of having multiple threads open at once and will either terminate or suspend them after a task is completed, or the program is closed.
This lecture addresses the internals of Linux processes, and its life cycle. This includes its creation, termination, and state transitions during its existence. It also addresses the difference between processes and threads in Linux
Check the other Lectures and courses in
http://Linux4EnbeddedSystems.com
or Follow our Facebook Group at
- Facebook: @LinuxforEmbeddedSystems
Lecturer Profile:
- https://www.linkedin.com/in/ahmedelarabawy
This lecture is the first part of an introduction to SVC tools with a focus on Git and GitHub. This Lecture discusses the basic concepts as well as Installation and initial configuration of Git
A thread is a portion of code that may be executed independently of the main program.
For example, a program may have an open thread waiting for a specific event to occur or running a separate job, allowing the main program to perform other tasks.
A program is capable of having multiple threads open at once and will either terminate or suspend them after a task is completed, or the program is closed.
This lecture addresses the internals of Linux processes, and its life cycle. This includes its creation, termination, and state transitions during its existence. It also addresses the difference between processes and threads in Linux
Check the other Lectures and courses in
http://Linux4EnbeddedSystems.com
or Follow our Facebook Group at
- Facebook: @LinuxforEmbeddedSystems
Lecturer Profile:
- https://www.linkedin.com/in/ahmedelarabawy
OSI Model Layers and Internet Protocol StackShivam Mitra
1. Advantages of dividing a complex system into layers or modules
2. Taking example of airline system to explain advantage of layering
3. OSI model and Internet Protocol Stack
4. Functions of each layers in OSI model
Very long instruction word or VLIW refers to a processor architecture designed to take advantage of instruction level parallelism
This type of processor architecture is intended to allow higher performance without the inherent complexity of some other approaches.
Slides for a college course at City College San Francisco. Based on "Hands-On Ethical Hacking and Network Defense, Third Edition" by Michael T. Simpson, Kent Backman, and James Corley -- ISBN: 9781285454610.
Instructor: Sam Bowne
Class website: https://samsclass.info/123/123_S17.shtml
OSI Model Layers and Internet Protocol StackShivam Mitra
1. Advantages of dividing a complex system into layers or modules
2. Taking example of airline system to explain advantage of layering
3. OSI model and Internet Protocol Stack
4. Functions of each layers in OSI model
Very long instruction word or VLIW refers to a processor architecture designed to take advantage of instruction level parallelism
This type of processor architecture is intended to allow higher performance without the inherent complexity of some other approaches.
Slides for a college course at City College San Francisco. Based on "Hands-On Ethical Hacking and Network Defense, Third Edition" by Michael T. Simpson, Kent Backman, and James Corley -- ISBN: 9781285454610.
Instructor: Sam Bowne
Class website: https://samsclass.info/123/123_S17.shtml
The objectives of Multithreaded Programming in Operating Systems are:
- 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, Windows, and Java thread libraries
- To explore several strategies that provide implicit threading.
- To examine issues related to multithreaded programming.
- To cover operating system support for threads in Windows and Linux.
The objectives of Multithreaded Programming in Operating Systems are:
- 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, Windows, and Java thread libraries
- To explore several strategies that provide implicit threading.
- To examine issues related to multithreaded programming.
- To cover operating system support for threads in Windows and Linux.
Semantics of fork() and exec() system calls
Signal handling
Synchronous and asynchronous
Thread cancellation of target thread
Asynchronous or deferred
Thread-local storage
Scheduler Activations
Most modern applications are multithreaded
Threads run within application
Multiple tasks with the application can be implemented by separate threads
Update display
Fetch data
Spell checking
Answer a network request
Process creation is heavy-weight while thread creation is light-weight
Can simplify code, increase efficiency
Kernels are generally multithreaded
Many user-level threads mapped to single kernel thread
One thread blocking causes all to block
Multiple threads may not run in parallel on muticore system because only one may be in kernel at a time
Few systems currently use this model
Examples:
Solaris Green Threads
GNU Portable Threads
Synthetic Fiber Construction in lab .pptxPavel ( NSTU)
Synthetic fiber production is a fascinating and complex field that blends chemistry, engineering, and environmental science. By understanding these aspects, students can gain a comprehensive view of synthetic fiber production, its impact on society and the environment, and the potential for future innovations. Synthetic fibers play a crucial role in modern society, impacting various aspects of daily life, industry, and the environment. ynthetic fibers are integral to modern life, offering a range of benefits from cost-effectiveness and versatility to innovative applications and performance characteristics. While they pose environmental challenges, ongoing research and development aim to create more sustainable and eco-friendly alternatives. Understanding the importance of synthetic fibers helps in appreciating their role in the economy, industry, and daily life, while also emphasizing the need for sustainable practices and innovation.
We all have good and bad thoughts from time to time and situation to situation. We are bombarded daily with spiraling thoughts(both negative and positive) creating all-consuming feel , making us difficult to manage with associated suffering. Good thoughts are like our Mob Signal (Positive thought) amidst noise(negative thought) in the atmosphere. Negative thoughts like noise outweigh positive thoughts. These thoughts often create unwanted confusion, trouble, stress and frustration in our mind as well as chaos in our physical world. Negative thoughts are also known as “distorted thinking”.
The Roman Empire A Historical Colossus.pdfkaushalkr1407
The Roman Empire, a vast and enduring power, stands as one of history's most remarkable civilizations, leaving an indelible imprint on the world. It emerged from the Roman Republic, transitioning into an imperial powerhouse under the leadership of Augustus Caesar in 27 BCE. This transformation marked the beginning of an era defined by unprecedented territorial expansion, architectural marvels, and profound cultural influence.
The empire's roots lie in the city of Rome, founded, according to legend, by Romulus in 753 BCE. Over centuries, Rome evolved from a small settlement to a formidable republic, characterized by a complex political system with elected officials and checks on power. However, internal strife, class conflicts, and military ambitions paved the way for the end of the Republic. Julius Caesar’s dictatorship and subsequent assassination in 44 BCE created a power vacuum, leading to a civil war. Octavian, later Augustus, emerged victorious, heralding the Roman Empire’s birth.
Under Augustus, the empire experienced the Pax Romana, a 200-year period of relative peace and stability. Augustus reformed the military, established efficient administrative systems, and initiated grand construction projects. The empire's borders expanded, encompassing territories from Britain to Egypt and from Spain to the Euphrates. Roman legions, renowned for their discipline and engineering prowess, secured and maintained these vast territories, building roads, fortifications, and cities that facilitated control and integration.
The Roman Empire’s society was hierarchical, with a rigid class system. At the top were the patricians, wealthy elites who held significant political power. Below them were the plebeians, free citizens with limited political influence, and the vast numbers of slaves who formed the backbone of the economy. The family unit was central, governed by the paterfamilias, the male head who held absolute authority.
Culturally, the Romans were eclectic, absorbing and adapting elements from the civilizations they encountered, particularly the Greeks. Roman art, literature, and philosophy reflected this synthesis, creating a rich cultural tapestry. Latin, the Roman language, became the lingua franca of the Western world, influencing numerous modern languages.
Roman architecture and engineering achievements were monumental. They perfected the arch, vault, and dome, constructing enduring structures like the Colosseum, Pantheon, and aqueducts. These engineering marvels not only showcased Roman ingenuity but also served practical purposes, from public entertainment to water supply.
Palestine last event orientationfvgnh .pptxRaedMohamed3
An EFL lesson about the current events in Palestine. It is intended to be for intermediate students who wish to increase their listening skills through a short lesson in power point.
Model Attribute Check Company Auto PropertyCeline George
In Odoo, the multi-company feature allows you to manage multiple companies within a single Odoo database instance. Each company can have its own configurations while still sharing common resources such as products, customers, and suppliers.
The Indian economy is classified into different sectors to simplify the analysis and understanding of economic activities. For Class 10, it's essential to grasp the sectors of the Indian economy, understand their characteristics, and recognize their importance. This guide will provide detailed notes on the Sectors of the Indian Economy Class 10, using specific long-tail keywords to enhance comprehension.
For more information, visit-www.vavaclasses.com
The Art Pastor's Guide to Sabbath | Steve ThomasonSteve Thomason
What is the purpose of the Sabbath Law in the Torah. It is interesting to compare how the context of the law shifts from Exodus to Deuteronomy. Who gets to rest, and why?
3. 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, Windows, and Java thread libraries
• To explore several strategies that provide implicit threading
• To examine issues related to multithreaded programming
• To cover operating system support for threads in Windows and Linux
4. Motivation
•
•
•
Most modern applications are multithreaded
Threads run within application
Multiple tasks with the application can be implemented by separate threads
–
–
–
–
•
•
•
Update display
Fetch data
Spell checking
Answer a network request
Process creation is heavy-weight while thread creation is light-weight
Can simplify code, increase efficiency
Kernels are generally multithreaded
6. Benefits
• Responsiveness – may allow continued execution if part of process is
blocked, especially important for user interfaces
• Resource Sharing – threads share resources of process, easier than
shared memory or message passing
• Economy – cheaper than process creation, thread switching lower
overhead than context switching
• Scalability – process can take advantage of multiprocessor architectures
7. Multicore Programming
•
Multicore or multiprocessor systems putting pressure on programmers, challenges
include:
–
–
–
–
–
•
•
•
Dividing activities
Balance
Data splitting
Data dependency
Testing and debugging
Parallelism implies a system can perform more than one task simultaneously
Concurrency supports more than one task making progress
Single processor / core, scheduler providing concurrency
8. Multicore Programming (Cont.)
Types of parallelism
•
•
•
•
•
Data parallelism – distributes subsets of the same data across multiple cores, same
operation on each
Task parallelism – distributing threads across cores, each thread performing unique
operation
As # of threads grows, so does architectural support for threading
CPUs have cores as well as hardware threads
Consider Oracle SPARC T4 with 8 cores, and 8 hardware threads per core
11. Amdahl’s Law
• Identifies performance gains from adding additional cores to an
application that has both serial and parallel components
• S is serial portion
• N processing cores
12. Amdahl’s Law (Cont.)
• I.e. if application is 75% parallel / 25% serial, moving from 1 to 2
cores results in speedup of 1.6 times
• As N approaches infinity, speedup approaches 1 / S
Serial portion of an application has disproportionate effect on
performance gained by adding additional cores
• But does the law take into account contemporary multicore
systems?
13. User Threads and Kernel Threads
• User threads - management done by user-level threads
library
• Three primary thread libraries:
– POSIX Pthreads
– Win32 threads
– Java threads
14. User Threads and Kernel Threads
• Kernel threads - Supported by the Kernel
• Examples – virtually all general purpose operating systems,
including:
–
–
–
–
–
Windows
Solaris
Linux
Tru64 UNIX
Mac OS X
16. Many-to-One
• Many user-level threads mapped
to single kernel thread
• One thread blocking causes all to
block
• Multiple threads may not run in
parallel on muticore system
because only one may be in kernel
at a time
• Examples:
– Solaris Green Threads
– GNU Portable Threads
17. One-to-One
•
•
•
•
Each user-level thread maps to kernel thread
Creating a user-level thread creates a kernel thread
More concurrency than many-to-one
Number of threads per process sometimes restricted due to overhead
• Examples
– Windows NT/XP/2000
– Linux
– Solaris 9 and later
18. 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
19. 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
20. Thread Libraries
• Thread library provides programmer with API for creating
and managing threads
• Two primary ways of implementing
– Library entirely in user space
– Kernel-level library supported by the OS
21. Pthreads
• May be provided either as user-level or kernel-level
• A POSIX standard (IEEE 1003.1c) API for thread creation and
synchronization
• Specification, not implementation
• 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)
22. 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
25. Implicit Threading
• Growing in popularity as numbers of threads increase, program
correctness more difficult with explicit threads
• Creation and management of threads done by compilers and run-time
libraries rather than programmers
• Three methods explored
– Thread Pools
– OpenMP
– Grand Central Dispatch
• Other methods include Microsoft Threading Building Blocks (TBB),
java.util.concurrent package.
26. Threading Issues
• Semantics of fork() and exec() system calls
• Signal handling
– Synchronous and asynchronous
• Thread cancellation of target thread
– Asynchronous or deferred
• Thread-local storage
• Scheduler Activations
27. Semantics of fork() and exec()
• Does fork()duplicate only the calling thread or all
threads?
– Some UNIXes have two versions of fork
• Exec() usually works as normal – replace the running
process including all threads
28. 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 by one of two signal handlers:
• default
• user-defined
29. Signal Handling (Cont.)
• Every signal has default handler that kernel runs when handling
signal
– User-defined signal handler can override default
– For single-threaded, signal delivered to process
• Where should a signal be delivered for multi-threaded?
–
–
–
–
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
30. Thread Cancellation
• Terminating a thread before it has finished
• Thread to be canceled is target thread
• Two general approaches:
– Asynchronous cancellation terminates the target thread immediately
– Deferred cancellation allows the target thread to periodically check if it should be
cancelled
• Pthread code to create and cancel a thread:
31. Thread Cancellation (Cont.)
• Invoking thread cancellation requests cancellation, but actual cancellation
depends on thread state
• If thread has cancellation disabled, cancellation remains pending until
thread enables it
• Default type is deferred
– Cancellation only occurs when thread reaches cancellation point
• i.e. pthread_testcancel()
• Then cleanup handler is invoked
• On Linux systems, thread cancellation is handled through signals
32. Thread-Local Storage
• Thread-local storage (TLS) 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)
• Different from local variables
– Local variables visible only during single function invocation
– TLS visible across function invocations
• Similar to static data
– TLS is unique to each thread
33. Scheduler Activations
• Both M:M and Two-level models require
communication to maintain the appropriate
number of kernel threads allocated to the
application
• Typically use an intermediate data structure
between user and kernel threads – lightweight
process (LWP)
– Appears to be a virtual processor on which process
can schedule user thread to run
– Each LWP attached to kernel thread
– How many LWPs to create?
34. Scheduler Activations (Cont.)
• Scheduler activations provide upcalls, a communication mechanism from
the kernel to the upcall handler in the thread library
• This communication allows an application to maintain the correct number
kernel threads
36. Windows Threads
• Windows implements the Windows API – primary API for Win 98, Win NT,
Win 2000, Win XP, and Win 7
• Implements the one-to-one mapping, kernel-level
• Each thread contains
– A thread id
– Register set representing state of processor
– Separate user and kernel stacks for when thread runs in user mode or kernel
mode
– Private data storage area used by run-time libraries and dynamic link libraries
(DLLs)
37. Windows Threads (Cont.)
• The register set, stacks, and private storage area are known as the context
of the thread
• The primary data structures of a thread include:
– ETHREAD (executive thread block) – includes pointer to process to which thread
belongs and to KTHREAD, in kernel space
– KTHREAD (kernel thread block) – scheduling and synchronization info, kernelmode stack, pointer to TEB, in kernel space
– TEB (thread environment block) – thread id, user-mode stack, thread-local
storage, in user space
39. 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)
– Flags control behavior
• struct task_struct points to process data structures
(shared or unique)