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Diagram of a symmetric multiprocessing system. Symmetric multiprocessing or shared-memory multiprocessing [1] (SMP) involves a multiprocessor computer hardware and software architecture where two or more identical processors are connected to a single, shared main memory, have full access to all input and output devices, and are controlled by a single operating system instance that treats all ...
SHMEM (from Cray Research's “shared memory” library [1]) is a family of parallel programming libraries, providing one-sided, RDMA, parallel-processing interfaces for low-latency distributed-memory supercomputers. The SHMEM acronym was subsequently reverse engineered to mean "Symmetric Hierarchical MEMory”. [2]
Another advantage is that memory coherence is managed by the operating system and not the written program. Two known disadvantages are: scalability beyond thirty-two processors is difficult, and the shared memory model is less flexible than the distributed memory model. [4] There are many examples of shared memory (multiprocessors): UMA ...
Multiprocessor system with a shared memory closely connected to the processors. A symmetric multiprocessing system is a system with centralized shared memory called main memory (MM) operating under a single operating system with two or more homogeneous processors. There are two types of systems: Uniform memory-access (UMA) system; NUMA system
HSA defines a special case of memory sharing, where the MMU of the CPU and the IOMMU of the GPU have an identical pageable virtual address space.. In computer hardware, shared memory refers to a (typically large) block of random access memory (RAM) that can be accessed by several different central processing units (CPUs) in a multiprocessor computer system.
The Linda model provides a distributed shared memory, known as a tuple space because its basic addressable unit is a tuple, an ordered sequence of typed data objects; specifically in Linda, a tuple is a sequence of up to 16 typed fields enclosed in parentheses". The tuple space is "logically shared by processes" which are referred to as workers ...
Uniform memory access (UMA) is a shared memory architecture used in parallel computers.All the processors in the UMA model share the physical memory uniformly. In an UMA architecture, access time to a memory location is independent of which processor makes the request or which memory chip contains the transferred data.
Shared memory is an efficient means of passing data between processes. In a shared-memory model, parallel processes share a global address space that they read and write to asynchronously. Asynchronous concurrent access can lead to race conditions, and mechanisms such as locks, semaphores and monitors can be used to avoid these.