Malit860 mining
GPU uses a large number of computing units and ultra long pipeline, but it only has very simple control logic and saves cache. The CPU not only occupies a lot of space by cache, but also has complex control logic and many optimization circuits
TheGPU is designed based on large throughput
GPU has many ALUs and few caches. The purpose of caching is not to save the data that needs to be accessed later, which is different from CPU, but to improve the service for thread. If many threads need to access the same data, the cache will merge these accesses, and then access DRAM (because the data to be accessed is stored in DRAM instead of cache). After obtaining the data, the cache will forward the data to the corresponding thread. This time is the role of data forwarding. However, e to the need to access DRAM, it will naturally bring the problem of delay The control unit of GPU (left yellow area block) can combine multiple accesses into less accesses Although GPU has DRAM latency, it has a lot of ALUs and threads. In order to balance memory latency, we can make full use of the characteristics of multiple ALUs to achieve a very large throughput. Allocate as many threads as possible. Generally speaking, GPU Alu has very heavy pipelines because of this So it is good at logic control and serial operation with CPU. Different from general data operations, GPU is good at large-scale concurrent computing, which is also needed for password cracking. So in addition to image processing, GPU is more and more involved in computing Most of the work ofGPU is like this. It has a large amount of calculation, but it has no technical content, and it has to be repeated many times. Just like you need to calculate hundreds of millions of times in a job, the best way is to hire dozens of primary school students to calculate together, and one person can calculate part of it. Anyway, these calculations are not technical, they are just physical work. CPU is like an old professor, who can calculate integral and differential calculus, but the salary is high. An old professor is worth 20 primary school students. If you were Foxconn, which one would you hire? GPU is like this, with a lot of simple computing units to complete a large number of computing tasks, pure sea of people tactics. This strategy is based on the premise that the work of pupils a and B is independent of each other. Many problems involving a lot of computing have this feature, such as password cracking, mining and many graphics computing. These calculations can be divided into several simple tasks, each task can be assigned to a primary school student. But there are still some tasks related to "flow". For example, if you go on a blind date, both parties can continue to develop only when they look good. I can't. You haven't seen each other yet. I'll find someone over there to get all the certificates. This kind of more complex problem is done by CPU
in a word, CPU and GPU are different in design because they are used to deal with different tasks at first. Some tasks are similar to the problems GPU was originally used to solve, so GPU is used to solve them. The computing speed of GPU depends on how many pupils are employed, and the computing speed of CPU depends on how many powerful professors are employed. The professor's ability to deal with complex tasks is very good, but for less complex tasks, it still can't hold many people. Of course, the current GPU can also do some slightly complicated work, which is equivalent to upgrading to the level of junior high school students and senior high school students. But it still needs CPU to feed the data to the mouth before it can start to work. After all, it still depends on CPU to manage
here, the secondary cache of 7200 is only 3M, while 8400 has 6m. The cache will affect the CPU efficiency, that is, the hit rate.
from the price point of view, 7200 is 7808400 in bulk, 1200 in bulk, and the cost performance is 7200, If you just play ordinary games, I suggest using E7200, such as the island crisis is enough. At present, the impact of playing games on graphics card is much higher than CPU, and the most integrated computer is GPU, which is the display chip.
a good graphics card plus E7200 will make you get a better game experience.
for example, gf9800gt
ATI
hd4800
they are all the best of thousands of yuan, 600 yuan with gf9600gt
HD3850 is a good choice for you
the biggest difference also lies in the manufacturing process. The design of mali-t860 is mainly combined with 28nm HPM (which is somewhat out of date). The recommended frequency is 650MHz, while the design of mali-t880 is optimized for 16nm FinFET. The frequency is increased to 850mhz, so the triangle output rate is increased to 1.7 billion per second, and the pixel output rate is up to 13.6 billion per second, which is a full 30% increase
the only new thing worth mentioning is that it can support up to 4K and 120fps output when combined with video codec mali-v550 and display controller mali-dp550
arm claims that the performance of the mali-t880 is about 1.8 times that of the mali-t760, and the energy efficiency is improved by 40%.
mali-t860 MP2@700Mhz :47.6
Adreno 330@578Mhz : 166.5
the number of running points of A330 is about 3.5 times that of t860mp2, and there is not such a huge gap in actual use, but there is no doubt that the performance of Adreno 330 is stronger, and the performance of Adreno 330 is still at a relatively high level at present, The t860mp2 is a low-end GPU with different market positioning
if you don't understand, please ask. Please take it in time after the problem is solved. Thank you.
adreno405 is a midrange GPU from Qualcomm, and its performance is better than that of adreno320