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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 many cases, a thread is a component of a process .
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 ...
In computer science, threaded code is a programming technique where the code has a form that essentially consists entirely of calls to subroutines.It is often used in compilers, which may generate code in that form or be implemented in that form themselves.
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 ...
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.
Hyper-Threading Technology is a form of simultaneous multithreading technology introduced by Intel, while the concept behind the technology has been patented by Sun Microsystems. Architecturally, a processor with Hyper-Threading Technology consists of two logical processors per core, each of which has its own processor architectural state.
The memory model specifies synchronization barriers that are established via special, well-defined synchronization operations such as acquiring a lock by entering a synchronized block or method. The memory model stipulates that changes to the values of shared variables only need to be made visible to other threads when such a synchronization ...
SIMT is intended to limit instruction fetching overhead, [4] i.e. the latency that comes with memory access, and is used in modern GPUs (such as those of Nvidia and AMD) in combination with 'latency hiding' to enable high-performance execution despite considerable latency in memory-access operations. This is where the processor is ...