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Single-GPU configurations do not suffer from this defect in most cases and can in some cases output a subjectively smoother video compared to a multi-GPU setup using the same video card model. Micro stuttering is inherent to multi- GPU configurations using alternate frame rendering (AFR), such as Nvidia SLi and AMD CrossFireX but can also exist ...
In contrast, a GPU that does not use VRAM, and relies instead on system RAM, is said to have a unified memory architecture, or shared graphics memory. System RAM and VRAM have been segregated due to the bandwidth requirements of GPUs, [ 2 ] [ 3 ] and to achieve lower latency, since VRAM is physically closer to the GPU die.
GPUs have very large register files, which allow them to reduce context-switching latency. Register file size is also increasing over different GPU generations, e.g., the total register file size on Maxwell (GM200), Pascal and Volta GPUs are 6 MiB, 14 MiB and 20 MiB, respectively.
With CES as a backdrop, NVIDIA has released its first set of GeForce drivers for 2020. Alongside the usual slate of compatibility updates and bug fixes, the software includes a new feature that ...
FreeSync is an adaptive synchronization technology that allows LCD and OLED displays to support a variable refresh rate aimed at avoiding tearing and reducing stuttering caused by misalignment between the screen's refresh rate and the content's frame rate.
Advantages of focusing on hardware may include speedup, reduced power consumption, [1] lower latency, increased parallelism [2] and bandwidth, and better utilization of area and functional components available on an integrated circuit; at the cost of lower ability to update designs once etched onto silicon and higher costs of functional ...
It is beneficial for the GPU's compute units to have fast access to a physically close cache rather than searching for data in video memory. AMD claims that RDNA 2's 128 MB of on-die Infinity Cache "dramatically reduces latency and power consumption". [ 16 ]
Broadcom's networking solutions are responsible for connecting GPUs in AI-accelerated data centers in order to reduce tail latency and maximize their computing potential.