If you are working in the graphics field, you will often hear about upgrading your graphics card for a better experience, but how important are graphics cards called GPUs and they are used for this purpose. What are the current trends in graphic design? Join WebTech360 to learn the importance of GPUs in the graphics field.
See also: 10 Computer Configuration Specializing in Graphics
As popular as it is today, the games are now quite heavy on very high-end hardware requirements. The 3D graphics in the game require realistic graphics to each character's hair and skin color. The question is how to be able to see exactly like that. How will the GPU meet that entertainment need? Invite you to join WebTech360 to learn more about the definition, structure and how it works.
1. What is a GPU?
The GPU (Graphics Processing Unit) is the processor for graphics-related tasks for the CPU's central processor. A lot of the features on the GPU go beyond basic graphics drivers like Intel's GPU.
GPU is used in embedded systems, personal computers, workstations, gaming computers... The most recognizable GPU is in personal computers, the CPU appears in the Video Card or can be tried on the Maiboard .
2. Distinguish between GPU and CPU
As in the previous article, I went into depth analysis of the CPU's effects and how it affects computers, you can refer here CPU is the abbreviation for (Central Processing Unit) roughly. na is the headquarters for the analysis and processing of data transmitted through scripts.
GPU (Graphic Processing Unit) : A microprocessor that specializes in analyzing blocks of image data. Graphics and video-related tasks Different from the CPU is a dedicated GPU that handles visual tasks. The two famous GPU manufacturers on the market today are Nvidia and AMD / ATI, each with different characteristics and advantages.
The GPU also processes information in multithreading, parallelism, and memory at high speeds. GPU technology is gradually becoming easier to program, providing more potential for processing acceleration for many programs for a variety of purposes, than conventional processing chips (CPUs). (Figure 1)
The difference between the floating-point capabilities of these two chips is this: GPUs are designed specifically for computation, but also for parallel computation and information processing - exactly what they're meant to be. required image sharpening techniques. Up to 80% of the chip's transistors are used by it to specialize in data computation, not to receive data and control information flow. Because these functions have been performed on each attribute of the data with intense advanced algorithms already. (Figure 2)
Figure 2 – GPU uses more transistors for computation
3. Functions of GPU
GPU function at work. In the past, the CPU would often take over the GPU's capabilities thanks to a Program called IGPU "Meaning that GPU is built into the CPU" but the limitation of the IGPU is that it is difficult to meet the workload needs. big deal. In an increasingly developed market, the position of GPUs is completely different and supports both CPUs.
The introduction of GPU (GPU Computing) has reduced the workload for the CPU, the CPU is responsible for pulling the system to run with the GPU's activity and devoting its clocks to other tasks in the system. Thus, saving a lot of time, solving the pressure in creating a quality product for the market.
Since the introduction of GPU until now. Then the rendering processing technology with GPU and real-world maths brings extremely sharp and smooth visual characteristics. And now the GPU plays a very important role Not only supporting 3D games and architectural software like 3Dsmax, Vray, Corona or professional video editing and editing software like Adobe Premiere, Camtasia, After Effects...
4. Practical Application of GPU
- In the game: Current games From popular gamenet shops or Cyber game shops all use GPUs. Current games have the most sincere and smooth images. In fact, now professions like Streamer or gamers who play current hot games like PUBG or Call Of Duty ... all need GPU to handle.
- In image and video graphics: Currently, when engineers design large projects, the GPU's Cuda core will directly affect when you make drawings, and typically in video making, the GPU will continue to work. receive and process large volumes of commands from users. In 2k or 4k video makers, the Preview ability to not lag, the high-end GPU will help you handle and calculate that.
- Applications: The future and artificial intelligence and the reasons that GPUs are now widely available are medical computing, electronics, financial modeling, scientific research modern and related fields of oil and gas exploration... In which artificial intelligence is the most anticipated and future-oriented product, robots do the heavy lifting for humans.
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Hopefully this article has answered you what is a GPU and its importance, when you have used a quality GPU graphics card, your work efficiency will be guaranteed, increasing the working frequency. as well as a more productive experience. If you have a need to build a configuration or need advice on what GPU to choose, please contact GPU for information.