Look up arch linux bitcoin mining in Wiktionary, the free dictionary. How”, a song by The Cranberries from the Everybody Else Is Doing It, So Why Can’t We?
This disambiguation page lists articles associated with the title How. If an internal link led you here, you may wish to change the link to point directly to the intended article. This page was last edited on 29 May 2018, at 22:47. Essentially, a GPGPU pipeline is a kind of parallel processing between one or more GPUs and CPUs that analyzes data as if it were in image or other graphic form.
While GPUs operate at lower frequencies, they typically have many times the number of cores. These pipelines were found to fit scientific computing needs well, and have since been developed in this direction. General-purpose computing on GPUs only became practical and popular after about 2001, with the advent of both programmable shaders and floating point support on graphics processors. These early efforts to use GPUs as general-purpose processors required reformulating computational problems in terms of graphics primitives, as supported by the two major APIs for graphics processors, OpenGL and DirectX. These were followed by Nvidia’s CUDA, which allowed programmers to ignore the underlying graphical concepts in favor of more common high-performance computing concepts. Any language that allows the code running on the CPU to poll a GPU shader for return values, can create a GPGPU framework. As of 2016, OpenCL is the dominant open general-purpose GPU computing language, and is an open standard defined by the Khronos Group.