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Computing power of home computer

Publish: 2021-04-21 05:45:49
1. The floating-point computing power of single processor is 3tflops

MPE, 8gflops

CPE, 11gflops

the peak computing power of Shenwei Taihu Lake light system reaches 100pflops<

it is necessary to mention here that floating-point computing power refers to the processing power of computer floating-point computing, and the computer has a special floating-point processor FPU for floating-point processing.

home computer 2G Hz, 4G Hz refers to the dominant frequency of the computer, the dominant frequency is 4G Hz, and the floating-point processing power of the computer is about 4gflops. However, the dominant frequency is not equal to floating-point processing power

dominant frequency means the number of computer clock cycles per second. The more processing per second, the more powerful the computer is

the main frequency of CPU does not represent the processing power of CPU and the influence of instruction pipeline on the processing power of CPU

clock cycle is the basic unit of CPU operation, and a floating-point calculation may need several to dozens of clock cycles. So the relationship between the dominant frequency and floating-point processing power is obvious.
2. Do you say PC? In my opinion, any computer has the ability of parallel computing. It depends on how you define it. Parallel computing and distributed system are both computing methods, not hardware specifications

each task in your operating system has a process, and each process is composed of many threads. If you've ever had an operating system class, you should have met multi threads programming. You let different threads cooperate to complete the same task, which is actually called parallel computing and distributed processing.

you can see that the projects of those parallel computing classes also run algorithms with ordinary computers, The key point is that you will simulate this environment. Just like those who run network algorithms use socket to simulate, they also use a PC to simulate the network of N workstations.

if you say multi-core CPU, First of all, you don't have access to the firmware of ordinary motherboards. So you have to buy a programmable board of general purpose, But if you want to buy a multi-core basic, you can't find it... Only in the laboratory can you have it... Even if you find it... I think that the money for that board is estimated to be several times of the tuition for you to go to graate school and then enter the laboratory...

in a word, if the software is implemented, today's PC should have no problem, As for how to start parallel computing mode, you need to read the datasheet of this board.

I don't agree with the above saying that there must be two cores, People with two brains can do parallel. But the left brain and the right brain of one brain are also parallel. When refining different neurons, the other completely independent neuron is also parallel. Parallel is a way to solve problems, an idea. Parallel computing was first proposed in 1912. I can't remember when the multi-core processor appeared, But after 2000, at least
3. A price limit order is a transaction based on the price you set. Sometimes we judge that the price will rise, but it will fall before it rises. That is to say, in a later period of time, the price will be lower than the current market price, and then it will enter an upward trend. Therefore, the direction of trading is definitely to be long, but in order to get a better price, you can hang a limit order. Although the set price is below the market price (the limit order can only be set below the current market price), once the set price appears in the future, the hanging order will be turned into a market order and executed. The same logic applies to limit order, but the direction is opposite. Stop loss list is your own investment strategy. You can sell the stop loss to what extent the stock falls. Sometimes we will use the break through trading system. For example, when the price breaks through the resistance level, it can be determined that it is an upward trend. At this time, we can use the stop loss to pay. The set price will be above the current market price (the stop loss order can only be set above the current market price). Once the set price appears in the market, that is, breaking through the resistance level, the order will be converted into a market order. Stop loss selling is the same logic, but in the opposite direction. The most important thing in stock speculation is to master certain experience and skills, and make accurate judgments. If a novice is not familiar with the operation, he can use a simulation disk to practice for a period of time to sum up experience,
4. One bitcoin is now down to $135
one dollar equals 6.14
in other words, 1 bitcoin is equivalent to 828.9 yuan
and according to the latest news, bitcoin has been stolen, so the price will be lower.
5. The work done by gravity is related to the initial and final position of the object, but not to the path

work w = - Mg * (z2-z1) = - 100 * 9.8 * (2-8) = 5880 (Jiao)

[welcome to inquire, thank you for adopting!]
6. There are different instruction sets.
if you play 360 games with PC through simulator,
you are in a circle.
you should understand the story of tortoise and rabbit race
7. In 1946, the first electronic computer appeared in the world. Today, it has been more than 30 years. In this short time, it has made great progress. The computing power of ordinary computers has reached 40 million times per second, faster than the speed of calculation and abacus
Why do computers work so fast
because the arithmetic unit and controller in the electronic computer are composed of bistable circuit and various "gate" circuits; In other words, they are calculated by using the high-speed transmission characteristics of electricity. We know that the transmission speed of electricity is 300000 kilometers per second, which is very fast. Therefore, the computing speed of the electronic computer is very fast< Secondly, the operation of electronic computer is very simple. No matter how complicated the problem is, as long as the personnel design the calculation program in advance and send the calculation program together with the original data to the computer, it can automatically calculate the original data step by step according to the manual program. Each operation is very simple. For example, to add, you only need to do 1 + 1 = 10, 1 + 0 = 1, 0 + 1 = 1, 0 + 0 = 0. There are only four cases (subtraction, multiplication and division are the same). Such a simple calculation, primary school students can quickly work out. Because the calculation is simple, the arithmetic unit can also be very simple; In other words, the bistable circuit and "gate" circuit are needed less, and the electronic path is also less, which makes the operation speed faster.
8. It's obviously the wrong description
first of all, the CPU of home computer can see the floating-point operation, just download the corresponding software to test the floating-point operation of CPU, single precision / double precision and so on
secondly, floating-point operation only shows the performance of household CPUs. On the one hand, some CPUs are too high to reflect your daily application
for example, compared with the old core architecture, the new core architecture with fewer cores has lower total score, but stronger single core performance.
9. First of all, we need to make a constraint on "stronger computing power", because in addition to the calculation speed of CPU / GPU, we also need to consider the data transmission speed (bandwidth) between multiple computers and disk I / O. In many cases, the time consumed by data transmission is much longer than the computing time
all tasks supporting parallel computing can be split into multiple parallel computing processes. Taking maprec as an example, most maprec algorithms need to satisfy the commutative law and the associative law. Therefore, it is necessary to ensure that the tasks performed meet the requirements of parallel computing models (maprece, MPI, etc.), including algorithm and data structure. Or, the results of the original algorithm can be approximately obtained by using the algorithm satisfying the parallel computing model
from the implementation level, the simplest way is to use the existing parallel computing framework, such as MPI / openmpi, to write algorithms to perform tasks in its framework. Using Hadoop is another choice, but Hadoop is more suitable for big data storage than computing intensive tasks because it is a master-slave structure and has some overhead for disaster recovery support
btw: the SLI and crossfire technologies of GPU can also be regarded as such an implementation to some extent.
10. Because the CPU operation speed also depends on all aspects of the CPU pipeline performance indicators (cache, instruction set, CPU bits, etc.). Since the dominant frequency does not directly represent the operation speed, there is no definite formula to quantify the numerical relationship between them
2.4GHz, the main frequency of CPU, indicates the speed of digital pulse signal oscillation in CPU, which has no direct relationship with the actual computing power of CPU. There is a certain relationship between the main frequency and the actual operation speed, but at present there is no definite formula to quantify the numerical relationship between them, because the operation speed of CPU depends on all aspects of the performance indicators of the CPU pipeline (cache, instruction set, CPU bits, etc.). Because the main frequency does not directly represent the operation speed, so in some cases, the actual operation speed of CPU with higher main frequency is lower
for example, most of AMD's Athlon XP series CPUs can achieve the performance of Intel's Pentium 4 series CPUs with lower dominant frequency, so Athlon XP series CPUs are named by PR value. Therefore, the dominant frequency is only one aspect of CPU performance, and does not represent the overall performance of CPU.
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