Graphics card mining associated coins
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
Amd graphics card is recommended for bitcoin, n card is not suitable
moreover, one video card can't dig one coin a week, so it needs several amd video cards to dig together, and some even use mining machines. At present, mining on the computer platform is unprofitable for ordinary users unless they are professional players
the popular digital currencies in 2013 include bitcoin, Leyte coin, zeta coin, pennies (Internet), invisible gold bar, red coin, pole coin, barbecue coin and prime currency. At present, hundreds of digital currencies are issued all over the world.
I have done a similar paper assignment before, which is about audio-visual procts. I went to a lot of places to ask questions, but they either didn't want to answer or gave me very general data
GPU is used for general purpose computing. So it can stack hundreds of stream processors awesome. Each stream processor is like a small CPU. Although its ability to run complex programs is far from the power of CPU, it can not support many processors, so the actual performance, especially the single precision floating point performance, is much stronger than that of CPU. The actions in bitcoin can be regarded as the use of graphics card to do continuous general computing, and the computational complexity is relatively low and quite repetitive. The stream processor used by graphics card is just suitable for such an algorithm.