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A multiprocessor system is defined as "a system with more than one processor", and, more precisely, "a number of central processing units linked together to enable parallel processing to take place". [1] [2] [3] The key objective of a multiprocessor is to boost a system's execution speed. The other objectives are fault tolerance and application ...
Multiprocessing is the use of two or more central processing units (CPUs) within a single computer system. [1] [2] The term also refers to the ability of a system to support more than one processor or the ability to allocate tasks between them.
The first bus-connected multiprocessor with snooping caches was the Synapse N+1 in 1984. [73] SIMD parallel computers can be traced back to the 1970s. The motivation behind early SIMD computers was to amortize the gate delay of the processor's control unit over multiple instructions. [81]
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 ...
Usually heterogeneity in the context of computing refers to different instruction-set architectures (ISA), where the main processor has one and other processors have another - usually a very different - architecture (maybe more than one), not just a different microarchitecture (floating point number processing is a special case of this - not usually referred to as heterogeneous).
In computing, multiple instruction, multiple data (MIMD) is a technique employed to achieve parallelism.Machines using MIMD have a number of processor cores that function asynchronously and independently.
In computer science, distributed memory refers to a multiprocessor computer system in which each processor has its own private memory. [1] Computational tasks can only operate on local data, and if remote data are required, the computational task must communicate with one or more remote processors.
Massively parallel is the term for using a large number of computer processors (or separate computers) to simultaneously perform a set of coordinated computations in parallel.