Single instruction, multiple threads: Difference between revisions

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'''Single instruction, multiple thread''' (SIMT) is an execution model used in [[parallel computing]] where [[single instruction, multiple data]] (SIMD) is combined with [[Thread (computing)#Multithreading|multi threading]].

The processors, say a number {{mvar|p}} of them, seem to execute many more than {{mvar|p}} tasks. This is achieved by each processor having multiple "threads" (or "work-items" or "Sequence of SIMD Lane operations"), which execute in lock-step, and are analogous to [[SIMD "lanes"]].<ref>{{cite book |author1=Michael McCool |author2=James Reinders |author3=Arch Robison |title=Structured Parallel Programming: Patterns for Efficient Computation |publisher=Elsevier |year=2013 |page=52}}</ref>

The SIMT execution model has been implemented on several GPUs and is relevant for [[general-purpose computing on graphics processing units]] (GPGPU), e.g. some [[supercomputer]]s combine CPUs with GPUs.