Single instruction, multiple threads: Difference between revisions

Revision as of 16:37, 23 March 2017

Revision as of 07:55, 28 March 2017

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

SIMT was introduced by [[Nvidia]]:<ref>{{cite web |url=http://www.nvidia.com/content/PDF/fermi_white_papers/NVIDIA_Fermi_Compute_Architecture_Whitepaper.pdf |title=Nvidia Fermi Compute Architecture Whitepaper |date=2009 |website=http://www.nvidia.com/ |publisher=NVIDIA Corporation |accessdate=2014-07-17}}</ref><ref name=teslaPaper>{{cite web |url=http://dx.doi.org/10.1109/MM.2008.31 journal |title=NVIDIA Tesla: A Unified Graphics and Computing Architecture |date=2008 |website=http://www.ieee.org/ |publisher=IEEE |accessdate=2014-08-07 |page=6 {{subscription required|s}} |doi=10.1109/MM.2008.31 |volume=28 |journal=IEEE Micro}}</ref>

{{Quote| Nvidia's [[Tesla (microarchitecture)|Tesla GPU microarchitecture]] (first available November 8, 2006 as implemented in the ''"G80"'' GPU chip) introduced the single-instruction multiple-thread (SIMT) execution model where multiple independent threads execute concurrently using a single instruction.}}