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Most research in the area of memory models revolves around: Designing a memory model that allows a maximal degree of freedom for compiler optimizations while still giving sufficient guarantees about race-free and (perhaps more importantly) race-containing programs. Proving program optimizations that are correct with respect to such a memory model.
Memory model (programming) describes how threads interact through memory Java memory model; Consistency model; Memory model (addressing scheme), an addressing scheme for computer memory address space Flat memory model; Paged memory model; Segmented memory; One of the x86 memory models
In computer science, partitioned global address space (PGAS) is a parallel programming model paradigm. PGAS is typified by communication operations involving a global memory address space abstraction that is logically partitioned, where a portion is local to each process, thread, or processing element.
On the x86-64 platform, a total of seven memory models exist, [7] as the majority of symbol references are only 32 bits wide, and if the addresses are known at link time (as opposed to position-independent code). This does not affect the pointers used, which are always flat 64-bit pointers, but only how values that have to be accessed via ...
The Java memory model was the first attempt to provide a comprehensive memory model for a popular programming language. [6] It was justified by the increasing prevalence of concurrent and parallel systems, and the need to provide tools and technologies with clear semantics for such systems.
The BSP model was developed by Leslie Valiant of Harvard University during the 1980s. The definitive article was published in 1990. [1]Between 1990 and 1992, Leslie Valiant and Bill McColl of Oxford University worked on ideas for a distributed memory BSP programming model, in Princeton and at Harvard.
With the (IBM) SPMD model the cooperating processors (or processes) take different paths through the program, using parallel directives (parallelization and synchronization directives, which can utilize compare-and-swap and fetch-and-add operations on shared memory synchronization variables), and perform operations on data in the shared memory ...
A model describes how units of computations, memories, and communications are organized. [1] The computational complexity of an algorithm can be measured given a model of computation. Using a model allows studying the performance of algorithms independently of the variations that are specific to particular implementations and specific technology.