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- Heterogeneous_computing abstract "Heterogeneous computing refers to systems that use more than one kind of processor. These are multi-core systems that gain performance not just by adding cores, but also by incorporating specialized processing capabilities to handle particular tasks. Heterogeneous System Architecture (HSA) systems utilize multiple processor types (typically CPUs and GPUs), usually on the same silicon die, to give you the best of both worlds: GPU processing, apart from its well-known 3D graphics rendering capabilities, can also perform mathematically intensive computations on very large data sets, while CPUs can run the operating system and perform traditional serial tasks.By the end of 2010, nearly all new desktop computers had multicore processors, with dual-core and even quad core processors entering the mainstream of affordable computing. Still, multicore processing posed some challenges of its own. The extra cores and cache memory required to fuel their instruction pipelines came at a cost of both increased processor size and, again, high power consumption.Meanwhile, the multi-core era also saw some interesting developments in GPUs, which were growing in sophistication and complexity, spurred on by advances in semiconductor technology. GPUs have vector processing capabilities that enable them to perform parallel operations on very large sets of data – and to do it at much lower power consumption relative to the serial processing of similar data sets on CPUs. This is what allows GPUs to drive capabilities such as incredibly realistic, multiple display stereoscopic gaming. And while their value was initially derived from the ability to improve 3D graphics performance by offloading graphics from the CPU, they became increasingly attractive for more general purposes, such as addressing data parallel programming tasks.The early efforts to leverage GPUs for general purpose computing coincided with a notable shift in consumer culture. There was a dramatic increase in the availability and quality of digital content, coupled with an increasing consumer appetite for rich visual experiences like video playback and viewing content in HD. At the same time, the emergence of mainstream operating system support for advanced multitasking began to require processing efficiency of an entirely new magnitude.".
- Heterogeneous_computing wikiPageID "42255358".
- Heterogeneous_computing wikiPageRevisionID "605261066".
- Heterogeneous_computing hasPhotoCollection Heterogeneous_computing.
- Heterogeneous_computing subject Category:Computer_architecture.
- Heterogeneous_computing comment "Heterogeneous computing refers to systems that use more than one kind of processor. These are multi-core systems that gain performance not just by adding cores, but also by incorporating specialized processing capabilities to handle particular tasks.".
- Heterogeneous_computing label "Heterogeneous computing".
- Heterogeneous_computing sameAs m.010f4n7c.
- Heterogeneous_computing sameAs Q17111997.
- Heterogeneous_computing sameAs Q17111997.
- Heterogeneous_computing wasDerivedFrom Heterogeneous_computing?oldid=605261066.
- Heterogeneous_computing isPrimaryTopicOf Heterogeneous_computing.