Sequential consistency

Sequential consistency is a consistency model used in the domain of concurrent computing (e.g. in distributed shared memory, distributed transactions, etc.). It is the property that "... the result of any execution is the same as if the operations of all the processors were executed in some sequential order, and the operations of each individual processor appear in this sequence in the order specified by its program." That is, the execution order of a program in the same processor (or thread) is the same as the program order, while the execution order of a program on different processors (or threads) is undefined. In an example like this: execution order between A1, B1 and C1 is preserved, that is, A1 runs before B1, and B1 before C1. The same for A2 and B2. But, as execution order between processors is undefined, B2 might run before or after C1 (B2 might physically run before C1, but the effect of B2 might be seen after that of C1, which is the same as "B2 run after C1") Conceptually, there is single global memory and a "switch" that connects an arbitrary processor to memory at any time step. Each processor issues memory operations in program order and the switch provides the global serialization among all memory operations Rsz_selection_055.png| Sequential consistency is weaker than strict consistency.…

Sequential consistency is a consistency model used in the domain of concurrent computing (e.g. in distributed shared memory, distributed transactions, etc.). It is the property that "... the result of any execution is the same as if the operations of all the processors were executed in some sequential order, and the operations of each individual processor appear in this sequence in the order specified by its program." That is, the execution order of a program in the same processor (or thread) is the same as the program order, while the execution order of a program on different processors (or threads) is undefined. In an example like this: execution order between A1, B1 and C1 is preserved, that is, A1 runs before B1, and B1 before C1. The same for A2 and B2. But, as execution order between processors is undefined, B2 might run before or after C1 (B2 might physically run before C1, but the effect of B2 might be seen after that of C1, which is the same as "B2 run after C1") Conceptually, there is single global memory and a "switch" that connects an arbitrary processor to memory at any time step. Each processor issues memory operations in program order and the switch provides the global serialization among all memory operations Rsz_selection_055.png| Sequential consistency is weaker than strict consistency. Both require a read from a location to return the value of the last write to that location, and that operations be seen in the order in which they were actually issued. Strict consistency additionally requires different threads of execution to execute in lock step, with deterministic timing and behavior. Most instruction set architectures, including x86, x86-64, ARM, and RISC-V, do not present a sequentially consistent memory model to programs. Some important hardware optimizations, such as write-back caching, are at odds with sequential consistency. This means that multithreaded programs in multiprocessor systems on these architectures can exhibit behavior that is not consistent with any interleaving of the instructions on the threads, typically by reading stale values. ==See also== Concurrent data structure Linearizability Serializability ==References==

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