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A cc–NUMA system is a cluster of SMP systems – each called a "node", which can have a single processor, a multi-core processor, or a mix of the two, of one or other kinds of architecture – connected via a high-speed "connection network" that can be a "link" that can be a single or double-reverse ring, or multi-ring, point-to-point ...
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.
Multiprocessing however means true parallel execution of multiple processes using more than one processor. [7] Multiprocessing doesn't necessarily mean that a single process or task uses more than one processor simultaneously; the term parallel processing is generally used to denote that scenario. [6]
Simultaneous and heterogeneous multithreading (SHMT) is a software framework that takes advantage of heterogeneous computing systems that contain a mixture of central processing units (CPUs), graphics processing units (GPUs), and special purpose machine learning hardware, for example Tensor Processing Units (TPUs).
The earliest production system with multiple identical processors was the Burroughs B5000, which was functional around 1961. However at run-time this was asymmetric, with one processor restricted to application programs while the other processor mainly handled the operating system and hardware interrupts. The Burroughs D825 first implemented ...
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), called ...
In this way, multiple processes are part-way through execution at a single instant, but only one process is being executed at that instant. [citation needed] Concurrent computations may be executed in parallel, [3] [6] for example, by assigning each process to a separate processor or processor core, or distributing a computation across a network.
Shared memory is an efficient means of passing data between programs. Depending on context, programs may run on a single processor or on multiple separate processors. Using memory for communication inside a single program, e.g. among its multiple threads, is also referred to as shared memory.