These types of technologies operating in symbiotic mode will now become widespread, since the objective of both Intel and its rival AMD is to offer complete processing ecosystems. Obviously, things like memory will be left out, but nowadays GPUs are not only used to display nice graphics in games. Many applications use the so-called GPU compute pipeline for support.
When we talk about computing pipeline, we are referring to the use of the graphics processor, not to generate images on the screen. That is, timeouts in the GPU are used to help the CPU solve some problems faster and in some environments even where the GPU is not generating frames as it is with high computing performance.
Dynamic power sharing
This is a feature designed for gaming laptops which consists of the Intel Core CPU and ARC GPU sharing the same power control circuitry, so it is still the Intel equivalent of AMD SmartShift. What allows this? Easy, when the load of trabajo of the CPU is baja y, por tanto, will encuentra menos energía de lo normal esto the permite a la GPU tener una small subida en su velocidad de reloj al provechar la energy sobrante qu’al de la CPU and vice versa.
The unit responsible for controlling temperature, clock speed and voltage takes into account the parameters of both processors to see when it can speed up the other, but it is not limited to this. It also takes into account the energy cost of future instructions, allowing it to “predict” when to perform the corresponding uploads and downloads. For all this we must take into account the ability to “learn” and, therefore, to automate some common tasks related to certain applications.
We must clarify that the Dynamic Power Share does not mean that the consumption is always static and distributed, because in low load scenarios, the CPU and GPU clock speed will be reduced to increase battery life and the time between charges. .
The iGPU will no longer be an obstacle in Deep Link
Normally, when we connect a dedicated graphics card, it ceases to be useful and becomes hardware that, for example, when we play a game or use an application like Blender, it ceases to be useful. Intel’s idea with Deep Link is that the iGPU is not just for decoration and at least serves to speed up computing tasks in conjunction with ARC graphics. Which means that those who use Intel Core processors without this element will not be able to take advantage of this technology.
This ability is reminiscent of the Cell Broadband Engine, the CPU of the PS3 which brought a series of cores very similar to GPU Compute Units which were used to accelerate certain tasks. For example, for thimage post-processing effects the stop carry out the preliminary, which consists of rendering the image without textures or shader programs to locate superfluous geometry in the scene. With this it is achieved that everything that we do not see is not calculated by the GPU and to be able to obtain more frames per second.
However, this is not the only application we can see, a developer can even use Deep Link to configure the iGPU as advanced sound card and we offer high-end dedicated hardw are level audio. The applications are many, but it will depend on programmers optimizing for a purely Intel ecosystem.
Artificial intelligence combined in Deep Link
The most popular and clearest improvement that artificial intelligence brings to image processing is super resolution. Which involves using deep learning prediction algorithms to generate a version with more pixels and, therefore, less resolution than one with less. Intel implemented the algorithm Topaz’s Gigapixel AI in Deep Link to output images at a higher resolution using Intel Core’s iGPU for this.
This is a feature that people who work with images daily and need to get them to a higher resolution will appreciate. As it will allow us to do it without depending on external remote services, directly from our PC and with the advantage of having the two GPUs combined to generate the highest quality version.
Hyper encoding
The use of Deep Link is not only limited to computing, but also to hardware video codecs. Which means that those who come with the iGPU will be able to work in tandem with those of the graphics card in order to share the work and finish encoding or decoding images from one video format and resolution to another. in less time. It’s a capability that whether you work on programs like Adobe Premiere, SONY Vegas, or just dedicate yourself to real-time streaming on platforms like Twitch or YouTube, you’ll appreciate performance-wise.
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