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Fall 2012 CISG 5500 Advanced Operating Systems

Chapter 4 Threads. Fall 2012 CISG 5500 Advanced Operating Systems. Donghyun (David) Kim Department of Mathematics and Computer Science North Carolina Central University. Overview Multithreading Models Thread Libraries Threading Issues. Chapter 4: Threads.

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Fall 2012 CISG 5500 Advanced Operating Systems

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  1. Chapter 4 Threads Fall 2012CISG 5500Advanced Operating Systems Donghyun (David) Kim Department of Mathematics and Computer ScienceNorth Carolina Central University Some slides are in courtesy of Silberschatz, Galvin, and Gagne

  2. Overview • Multithreading Models • Thread Libraries • Threading Issues Chapter 4: Threads

  3. 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 Chapter Objectives

  4. Single and Multithreaded Processes

  5. Responsiveness • Resource Sharing • Economy • Scalability Benefits

  6. Multicore systems putting pressure on programmers, challenges include • Dividing activities • Balance • Data splitting • Data dependency • Testing and debugging Multicore Programming

  7. Multithreaded Server Architecture

  8. Concurrent Execution on a Single-core System

  9. Parallel Execution on a Multicore System

  10. Thread management done by user-level threads library • Three primary thread libraries: • POSIX Pthreads • Win32 threads • Java threads User Threads

  11. Supported by the Kernel • Examples • Windows XP/2000 • Solaris • Linux • Tru64 UNIX • Mac OS X Kernel Threads

  12. Many-to-One • One-to-One • Many-to-Many Multithreading Models

  13. Many user-level threads mapped to single kernel thread • Examples: • Solaris Green Threads • GNU Portable Threads Many-to-One

  14. Many-to-One Model

  15. Each user-level thread maps to kernel thread • Examples • Windows NT/XP/2000 • Linux • Solaris 9 and later One-to-One

  16. One-to-one Model

  17. 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 Many-to-Many Model

  18. Many-to-Many Model

  19. 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 Two-level Model

  20. Two-level Model

  21. 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 Thread Libraries

  22. 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 operating systems (Solaris, Linux, Mac OS X) Pthreads

  23. 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 Java Threads

  24. Semantics of fork() and exec() system calls • Thread cancellation of target thread • Asynchronous or deferred • Signal handling • Thread pools • Thread-specific data • Scheduler activations Threading Issues

  25. Does fork() duplicate only the calling thread or all threads? Semantics of fork() and exec()

  26. 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 Thread Cancellation

  27. Signals are used in UNIX systems to notify a process that a particular event has occurred • A signal handler is used to process signals • Signal is generated by particular event • Signal is delivered to a process • 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 thread to receive all signals for the process Signal Handling

  28. 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 Thread Pools

  29. 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) Thread Specific Data

  30. 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 Scheduler Activations

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