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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.
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 ...
Diagram of a generic dual-core processor with CPU-local level-1 caches and a shared, on-die level-2 cache An Intel Core 2 Duo E6750 dual-core processor An AMD Athlon X2 6400+ dual-core processor A multi-core processor ( MCP ) is a microprocessor on a single integrated circuit (IC) with two or more separate central processing units (CPUs ...
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 ...
A process with two threads of execution, running on a single processor . In computer architecture, multithreading is the ability of a central processing unit (CPU) (or a single core in a multi-core processor) to provide multiple threads of execution.
Superscalar processors differ from multi-core processors in that the several execution units are not entire processors. A single processor is composed of finer-grained execution units such as the ALU, integer multiplier, integer shifter, FPU, etc. There may be multiple versions of each execution unit to enable the execution of many instructions ...
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).
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. In contrast, a shared memory multiprocessor offers a single memory space used by all processors. Processors do not have to be aware where data resides, except that there may be ...