1080 computing power

1.

21.5 * 3600 seconds * 24 hours = 1857600 M / day
1857600 / 1024 / 1024 = 1.7715 T / day
a t of computing power / day can dig bitcoin worth 4.03 yuan
1.7715 * 4.03 = 7.14 yuan / day

since 2017, bitcoin has reached new heights. Yesterday (May 23), the value of bitcoin broke through the ￥ 16000 mark, hyping virtual currency, becoming a matter that the general public can participate in, And a little bit of technical level, both fried money, but also began to have the technical content of mining

as we all know, virtual currency has a numerical peak, the more difficult it is to dig. In fact, it's hard to judge whether to lose money or not if we continue to dig. Therefore, in the end how to dig, dig what can be the fastest back to this, this paper studies the above two core issues based on the current market situation

2. Lightcoin is 1.8g. The computing power of the whole network is only 8600gh / s, and 1080ti graphics card occupies 1 / 4700
eth is only 32mh / s, 1070 has 40mh / s. Many people say that 1080ti can't pull up the computing power because of the high delay of gddr5x video memory. As expected, it's better to mine with a card. People on the Internet say that 480 can have 65mh / S computing power
Zec, 724sol / s, nearly three 1060 3G, the total price is more expensive than three 1060 2K soft coins. However, compared with the short supply a-card rx4808g, the price of three cards is less than 5K, and the computing power is 900 + sol / s, but it's useless if there is a price but no market
it's too wasteful to use this card for mining. It's just for fun and can't afford to hurt.

3. The computing power of the project, gtx1080ti, is 6.1 / 3.7, about 1.64 times that of K80
at present, the popular cards for deep learning are rtx2080ti and rtx2070 (multi-channel), and it is not easy to buy more than one of them when gtx1080ti is delisted Second hand another)
* for the deep learning of CUDA platform, the graphics card mainly focuses on: single precision floating-point operation, video memory, tensor core (Turing architecture and volt architecture, RTX series and Titan V)
* in terms of the main stability and some special functions of Tesla, double precision (currently this deep learning is less used), single precision and half precision floating-point operation have little advantage, It's expensive (if you want to surpass gtx1080ti, you need tens of thousands of Tesla V100)

4. No one uses 1080 or more graphics cards to mine

because the cost performance is too low, the computing power is not improved much, and the price is too expensive.

5. thirty

6. In terms of pure computing power and performance, 1080ti is definitely better than 2070. At most, 1080ti is tied with 1080. However, 1080ti has no hardware to catch up with. It depends on software simulation, so the computing power is very low. 2070 has a special hardware light pursuit unit, with 6G computing power and 1080ti light pursuit. Light chasing is a revolution in the rendering of game pictures. There is a qualitative leap in game pictures. It's not too much to use the idiom of "fake as real". Theoretically, it can achieve CG effect of movie level. Although light chasing technology has been put into use for a long time, it has not been popularized. It is very expensive to support hardware light chasing graphics cards. At present, there are few games on the market that support light chasing... I personally prefer 1080ti. The above are all personal opinions, don't spray. You can also take a professional evaluation video online.

7. Bitcoin does not have the risk of theft, as long as there is a code on the line, the account can be changed at will, can be said to be the most perfect currency, and more valuable than all the money. It's said that a few bitcoins can buy the whole of China.

8. The occupancy rate of GPU and video memory has nothing to do with the display
it mainly depends on the changes in the settings of the graphics card and the game, and it doesn't
focus on whether the vertical synchronization is turned on or off, as well as the settings of resolution and image quality
full load is sometimes a good thing, indicating that the CPU has no bottleneck
indicating that the utilization rate of GPU is high

9.

The vivo X60 series is equipped with Samsung exynos 1080 flagship processor

on the afternoon of November 12, 2020, Samsung officially launched a new generation of exynos 1080 processor. Exynos 1080 processor adopts 5nm process

it adopts the configuration of cortex-a78 CPU and mali-78 GPU, while taking into account the characteristics of high performance and low power consumption. At the press conference, Samsung announced that vivo will launch a terminal proct equipped with exynos 1080 processor

extended materials

Samsung exynos 1080 is also the instry's first cortex-a78 processor, integrating eight CPU cores, including a 2.8GhZ cortex-a78 super core

three 2.6GHz cortex-a78 large cores and four 2.0GHz cortex-a55 small cores, the single core performance is 1.5 times of exynos 980, and the multi-core performance is 2 times; The GPU is mali-g78 MP10, and its graphics performance is 2.3 times that of the previous generation

in a word, the performance of this processor has been greatly improved. At present, it can be regarded as the top flagship processor. In terms of running points, the running points of the Samsung exynos 1080 are close to 700000, which is double that of the previous exynos 980

nowadays, computational photography has increasingly relied on the powerful computing power of the processor. Samsung exynos 1080 integrates AI into ISP, bringing a more intelligent camera experience

and the ISP of exynos 1080 supports a resolution of up to 200 million pixels and can receive signals from up to six lenses. Thanks to the excellent performance of high-performance NPU, the built-in AI can optimize the white balance and exposure, optimize the brightness, color, tone, clarity and so on, and easily output higher quality photo content