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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. Many systems impose restrictions on the size of the thread-local memory block, in fact often rather tight limits.
The Thread Information Block (TIB) or Thread Environment Block (TEB) is a data structure in Win32 on x86 that stores information about the currently running thread. It descended from, and is backward-compatible on 32-bit systems with, a similar structure in OS/2 .
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
A workaround for SSL 3.0 and TLS 1.0, roughly equivalent to random IVs from TLS 1.1, was widely adopted by many implementations in late 2011. [30] In 2014, the POODLE vulnerability of SSL 3.0 was discovered, which takes advantage of the known vulnerabilities in CBC, and an insecure fallback negotiation used in browsers.
Thread Level Speculation (TLS), also known as Speculative Multi-threading, or Speculative Parallelization, [1] is a technique to speculatively execute a section of computer code that is anticipated to be executed later in parallel with the normal execution on a separate independent thread. Such a speculative thread may need to make assumptions ...
Arm MAP, a performance profiler supporting Linux platforms. AppDynamics, an application performance management solution [buzzword] for C/C++ applications via SDK. AQtime Pro, a performance profiler and memory allocation debugger that can be integrated into Microsoft Visual Studio, and Embarcadero RAD Studio, or can run as a stand-alone application.
The stack is often used to store variables of fixed length local to the currently active functions. Programmers may further choose to explicitly use the stack to store local data of variable length. If a region of memory lies on the thread's stack, that memory is said to have been allocated on the stack, i.e. stack-based memory allocation (SBMA).
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