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General-purpose computing on graphics processing units (GPGPU, or less often GPGP) is the use of a graphics processing unit (GPU), which typically handles computation only for computer graphics, to perform computation in applications traditionally handled by the central processing unit (CPU).
nVidia introduced the Video Processing Engine or VPE with the GeForce 4 MX. It is a feature of nVidia's GeForce graphics processor line that offers dedicated hardware to offload parts of the MPEG2 decoding and encoding.
Broadcom develops and designs the VideoCore GPU series as part of their SoCs. Since it is used by the Raspberry Pi, there has been considerable interest in a FOSS driver for VideoCore. [90] The Raspberry Pi Foundation, in co-operation with Broadcom, announced on October 24, 2012, that they open-sourced "all the ARM (CPU) code that drives the GPU".
The Denny's roadside diner in San Jose, California, in 2023, where Nvidia's three co-founders agreed to start the company in 1993 Nvidia's former headquarters which was home to the company through most of its pre-AI period (still in use) Aerial view of Endeavor, the first of the two new Nvidia headquarters buildings, in Santa Clara, California, in 2017.
The Pico-ITXe specification adds onto the Pico-ITX form factor by taking the EPIA-P700 and upgrading the chipset to a VX800, doubling the maximum RAM to 2 GB, allowing for 667/533 SO-DIMM RAM, upgrading the GPU to VIA's Chrome9 HC3, and adding support for SUMIT. Another notable addition is the expansion from 10 to 12 layers thickness.
CPU usage history indicates almost 0% to 100% swing with peak to peak of 3 seconds interval, when view +update speed set to high, at first half recording period. The rest of half period of history is set to update speed normal, and upper CPU usage history indicates slightly more than 60% and lower CPU usage history show 35% approx. in average.
In the comparison, the HM-15.0 HEVC encoder had the highest coding efficiency and, on average, for the same subjective quality the bit rate could be reduced by 49.4% compared with the VP9 1.2.0–5183 encoder, and it could be reduced by 52.6% compared with the JM-18.8 H.264/MPEG-4 AVC encoder. [128] [129] [130]
DLSS 2.0 is a temporal anti-aliasing upsampling (TAAU) implementation, using data from previous frames extensively through sub-pixel jittering to resolve fine detail and reduce aliasing. The data DLSS 2.0 collects includes: the raw low-resolution input, motion vectors , depth buffers , and exposure / brightness information. [ 14 ]