Symmetric multiprocessing

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 processors equally, reserving none for special purposes. Most multiprocessor systems today use an SMP architecture. In the case of multi-core processors, the SMP architecture applies to the cores, treating them as separate processors.

Professor John D. Kubiatowicz considers traditionally SMP systems to contain processors without caches.[2] Culler and Pal-Singh in their 1998 book "Parallel Computer Architecture: A Hardware/Software Approach" mention: "The term SMP is widely used but causes a bit of confusion. [...] The more precise description of what is intended by SMP is a shared memory multiprocessor where the cost of accessing a memory location is the same for all processors; that is, it has uniform access costs when the access actually is to memory. If the location is cached, the access will be faster, but cache access times and memory access times are the same on all processors."[3]

SMP systems are tightly coupled multiprocessor systems with a pool of homogeneous processors running independently of each other. Each processor, executing different programs and working on different sets of data, has the capability of sharing common resources (memory, I/O device, interrupt system and so on) that are connected using a system bus or a crossbar.

  1. ^ Patterson, David; Hennessy, John (2018). Computer Organisation and Design: The Hardware/Software Interface (RISC-V ed.). Cambridge, United States: Morgan Kaufmann. p. 509. ISBN 978-0-12-812275-4.
  2. ^ John Kubiatowicz. Introduction to Parallel Architectures and Pthreads. 2013 Short Course on Parallel Programming.
  3. ^ David Culler; Jaswinder Pal Singh; Anoop Gupta (1999). Parallel Computer Architecture: A Hardware/Software Approach. Morgan Kaufmann. p. 47. ISBN 978-1-55860-343-1.

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