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Difference between revisions of "GPU"
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| + | {{Shortcut|GPU|Graphics processing unit: specialized microprocessor for graphics rendering.}} | ||
A '''graphics processing unit''' or '''GPU''' is a specialized microprocessor that offloads and accelerates graphics rendering from the [[CPU]]. Modern GPUs are very efficient at manipulating computer graphics, and their highly [[parallel computing|parallel]] [[Processor|(multi-core)]] structure makes them more effective than general-purpose CPUs for a range of complex [[algorithm]]s. In a personal computer, a GPU can be present on a video card, or it can be on the motherboard, or as in certain Core Intel CPUs, on a CPU die. More than 90% of new desktop and notebook computers have integrated GPUs, which are usually far less powerful than those on a dedicated video card. | A '''graphics processing unit''' or '''GPU''' is a specialized microprocessor that offloads and accelerates graphics rendering from the [[CPU]]. Modern GPUs are very efficient at manipulating computer graphics, and their highly [[parallel computing|parallel]] [[Processor|(multi-core)]] structure makes them more effective than general-purpose CPUs for a range of complex [[algorithm]]s. In a personal computer, a GPU can be present on a video card, or it can be on the motherboard, or as in certain Core Intel CPUs, on a CPU die. More than 90% of new desktop and notebook computers have integrated GPUs, which are usually far less powerful than those on a dedicated video card. | ||
Latest revision as of 08:44, 13 February 2019
A graphics processing unit or GPU is a specialized microprocessor that offloads and accelerates graphics rendering from the CPU. Modern GPUs are very efficient at manipulating computer graphics, and their highly parallel (multi-core) structure makes them more effective than general-purpose CPUs for a range of complex algorithms. In a personal computer, a GPU can be present on a video card, or it can be on the motherboard, or as in certain Core Intel CPUs, on a CPU die. More than 90% of new desktop and notebook computers have integrated GPUs, which are usually far less powerful than those on a dedicated video card.
The MersenneForum has a sub-forum dedicated to GPU computing. Programs that do trial factoring and the Lucas-Lehmer test have been written for GPUs. These are the two main tests that GIMPS uses.
The main issue why many GPUs can't be used for Mersenne prime-related work is that some GPUs are only single-precision, while the calculations performed require double-precision.
GPU clients
- Primality testing
- Trial factoring
- P-1 testing
See also
External links
- GPU at Wikipedia
- LL-test GPU performance ranking
- trial factoring GPU performance ranking
