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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.
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.
The Bekenstein bound limits the amount of information that can be stored within a spherical volume to the entropy of a black hole with the same surface area. Thermodynamics limit the data storage of a system based on its energy, number of particles and particle modes. In practice, it is a stronger bound than the Bekenstein bound.
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. [1] The TIB is officially undocumented for Windows 9x.
A thread that wants to use the resource ‘takes’ the value of the MVar, leaving it empty, and puts it back when it is finished. Attempting to take a resource from an empty MVar results in the thread blocking until the resource is available. [24] As an alternative to locking, an implementation of software transactional memory also exists. [25]
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]
In parallel computing, a barrier is a type of synchronization method. [1] A barrier for a group of threads or processes in the source code means any thread/process must stop at this point and cannot proceed until all other threads/processes reach this barrier.
'When a kernel is launched the number of threads per thread block, and the number of thread blocks is specified, this, in turn, defines the total number of CUDA threads launched. [2] ' The maximum x, y and z dimensions of a block are 1024, 1024 and 64, and it should be allocated such that x × y × z ≤ 1024, which is the maximum number of ...