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  2. Thread safety - Wikipedia

    en.wikipedia.org/wiki/Thread_safety

    Thread safe, MT-safe: Use a mutex for every single resource to guarantee the thread to be free of race conditions when those resources are accessed by multiple threads simultaneously. Thread safety guarantees usually also include design steps to prevent or limit the risk of different forms of deadlocks , as well as optimizations to maximize ...

  3. Double-ended queue - Wikipedia

    en.wikipedia.org/wiki/Double-ended_queue

    A separate deque with threads to be executed is maintained for each processor. To execute the next thread, the processor gets the first element from the deque (using the "remove first element" deque operation). If the current thread forks, it is put back to the front of the deque ("insert element at front") and a new thread is executed.

  4. Multithreading (computer architecture) - Wikipedia

    en.wikipedia.org/wiki/Multithreading_(computer...

    Only when the data for the previous thread had arrived, would the previous thread be placed back on the list of ready-to-run threads. For example: Cycle i: instruction j from thread A is issued. Cycle i + 1: instruction j + 1 from thread A is issued. Cycle i + 2: instruction j + 2 from thread A is issued, which is a load instruction that misses ...

  5. Reentrancy (computing) - Wikipedia

    en.wikipedia.org/wiki/Reentrancy_(computing)

    Reentrancy is neither necessary nor sufficient for thread-safety in multi-threaded environments. In other words, a reentrant subroutine can be thread-safe, [1] but is not guaranteed to be [citation needed]. Conversely, thread-safe code need not be reentrant (see below for examples). Other terms used for reentrant programs include "sharable code ...

  6. ThreadSafe - Wikipedia

    en.wikipedia.org/wiki/ThreadSafe

    ThreadSafe is a source code analysis tool that identifies application risks and security vulnerabilities associated with concurrency in Java code bases, using whole-program interprocedural analysis.

  7. Concurrent data structure - Wikipedia

    en.wikipedia.org/wiki/Concurrent_data_structure

    Concurrent data structures are significantly more difficult to design and to verify as being correct than their sequential counterparts. The primary source of this additional difficulty is concurrency, exacerbated by the fact that threads must be thought of as being completely asynchronous: they are subject to operating system preemption, page faults, interrupts, and so on.

  8. Queue (abstract data type) - Wikipedia

    en.wikipedia.org/wiki/Queue_(abstract_data_type)

    The operations of a queue make it a first-in-first-out (FIFO) data structure. In a FIFO data structure, the first element added to the queue will be the first one to be removed. This is equivalent to the requirement that once a new element is added, all elements that were added before have to be removed before the new element can be removed.

  9. Non-blocking algorithm - Wikipedia

    en.wikipedia.org/wiki/Non-blocking_algorithm

    In particular, if one thread is suspended, then a lock-free algorithm guarantees that the remaining threads can still make progress. Hence, if two threads can contend for the same mutex lock or spinlock, then the algorithm is not lock-free. (If we suspend one thread that holds the lock, then the second thread will block.)