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In computer programming, thread-local storage (TLS) is a memory management method that uses static or global memory local to a thread. The concept allows storage of data that appears to be global in a system with separate threads.
Examples of this class of patterns include: Active object [1] [2] Balking pattern; Barrier; Double-checked locking; Guarded suspension; Leaders/followers pattern; Monitor Object; Nuclear reaction; Reactor pattern; Read write lock pattern; Scheduler pattern; Thread pool pattern; Thread-local storage
Thread-local storage Variables are localized so that each thread has its own private copy. These variables retain their values across subroutine and other code boundaries and are thread-safe since they are local to each thread, even though the code which accesses them might be executed simultaneously by another thread. Immutable objects
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It is implemented with a pthread.h header and a thread library. There are around 100 threads procedures, all prefixed pthread_ and they can be categorized into five groups: Thread management – creating, joining threads etc. Mutexes; Condition variables; Synchronization between threads using read write locks and barriers; Spinlocks [3]
A process with two threads of execution, running on one processor Program vs. Process vs. Thread Scheduling, Preemption, Context Switching. In computer science, a thread of execution is the smallest sequence of programmed instructions that can be managed independently by a scheduler, which is typically a part of the operating system. [1]
Current Linux also uses GS to point to thread-local storage. Segments can be defined to be either code, data, or system segments. Additional permission bits are present to make segments read only, read/write, execute, etc. In protected mode, code may always modify all segment registers except CS (the code segment selector). This is because the ...
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