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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.
Data, however, may be retrieved from any address in memory, and may be one byte or longer depending on the instruction. CPUs generally access data at the full width of their data bus at all times. To address bytes, they access memory at the full width of their data bus, then mask and shift to address the individual byte.
The Message Passing Interface (MPI) is a portable message-passing standard designed to function on parallel computing architectures. [1] The MPI standard defines the syntax and semantics of library routines that are useful to a wide range of users writing portable message-passing programs in C, C++, and Fortran.
Circular buffering makes a good implementation strategy for a queue that has fixed maximum size. Should a maximum size be adopted for a queue, then a circular buffer is a completely ideal implementation; all queue operations are constant time. However, expanding a circular buffer requires shifting memory, which is comparatively costly.
Intel Inspector (previously known as Intel Thread Checker) is a memory and thread checking and debugging tool to increase the reliability, security, and accuracy of C/C++ and Fortran applications. Reliability: Find deadlocks and memory errors that cause lockups & crashes; Security: Find memory and threading vulnerabilities used by hackers
A kernel thread is a "lightweight" unit of kernel scheduling. At least one kernel thread exists within each process. If multiple kernel threads exist within a process, then they share the same memory and file resources. Kernel threads are preemptively multitasked if the operating system's process scheduler is preemptive.
For instance in the case where one thread ID is blocked by a slow peripheral, another thread ID may continue independently of the order of the first thread ID. Another example, one thread on a CPU may be assigned a thread ID for a particular initiator port memory access such as read addr1, write addr1, read addr1, and this sequence will ...
Dereferencing any of these variables could cause a segmentation fault: dereferencing the null pointer generally will cause a segfault, while reading from the wild pointer may instead result in random data but no segfault, and reading from the dangling pointer may result in valid data for a while, and then random data as it is overwritten.