An ineluctable race for speed and better performance occurred aiming to exploit the high potential power of GPU computing architecture and its possible parallel system that allows infinite development from single chip to multiples chips (parallel architecture) to multiple micro-GPUs on the same chips.īy way of reference to understand the exponential power development of GPUs let’s note that in 2009, the computing power of a GPU was 1 TFlops (against 100 GFlops for a consumer market CPU) while 10 years later (2019), the latest consumer GPU generation offers 13.2TFlops.
This was very closely followed by the introduction of the Radeons ATI/AMD a couple of years later. It may not have been predictable but the launch of the Nvidia GeForce 256 in 1999 marketed as the “world first GPU” by the firm augured the tipping point to the GPU era. GPU (Graphics Processing Unit) debate is familiar and has been subject to many professional articles as well as many consumer forums to understand and discuss possible computer architecture’s system to achieve the best possible performance in terms of graphics rendering and particularly graphics involving 3D or video, it appears that major professional actors, graphics processors specialists have been working towards new solutions that open the way to multiple applications, especially through the development of massive parallel computing solutions that promise high quality results while speeding up the rendering time.
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