Computing power 2PB
Publish: 2021-04-16 17:19:21
1. m=pv1t
由v^2=2gh v=8.12m/s
由动量定理得
N-mg=mv/t=pv1*v
N=mg+pv1*v=8.32+17.2=25.4N
由v^2=2gh v=8.12m/s
由动量定理得
N-mg=mv/t=pv1*v
N=mg+pv1*v=8.32+17.2=25.4N
2. The strength of the company is very big, not bad
3. "A lot of scripts" may not be the script of the button wizard, right? Is it an offline script? Is it a script for offline plug-ins?
4. Find an article
let's put it this way: the "dark blue" that won the chess champion Kasparov in 1997 is a supercomputer, while alphago, who is going to play go with Li Shishi, is an artificial intelligence program developed by deepmind, a Google company. Let's talk about world peace. But alphago, as a program, has to run on a computer to compete with human beings. So change the question to "how many times more powerful is the computer that will play go with human beings than dark blue?"
we are still able to give an approximate answer by simple calculation. After all, in terms of measuring computer performance, we already have a fairly unified standard: the number of floating-point operations per second. For convenience, we all call it "flops" below
don't be scared away by the computer term "floating-point operation". In other words, floating-point operation is actually four arithmetic operations with decimals. For example, 1.2 plus 2.1 is a typical floating-point operation. If your primary school math teacher is not an American, then we estimate that at this moment you have already calculated the result by heart to be 3.3. But it's not that easy for computers
we know that computers operate on binary numbers composed of 0 and 1. For example, in the basic binary system, 1 is 1, 2 becomes 10, 3 is 11, 4 is 100... This operation mode allows us to assemble stable and effective computing machines with the simplest circuit components, but it also brings a problem: the number that computers can handle is only integers. If you want to express a 0.1 with 0 and 1 without any other mathematical method... Let's really talk about world peace
the solution to this problem is very simple: 0.1 can be regarded as the result of 1 divided by 10. If we want the computer to calculate a number with a decimal point, we just need to tell the CPU how many zeros are added after 1. But in this way, the computer in dealing with the decimal point, there are several more steps. So the speed of floating-point operation has become the standard to measure the performance of computer
take dark blue, which beat human beings in chess, for example, its computing power is 11.38 gflops, which means that dark blue can calculate 11.38 billion times of addition, subtraction, multiplication and division with decimals per second. ENIAC, the first general-purpose computer that helped the United States design and manufacture atomic bombs ring World War II, had only 300 flops
How about the performance of dark blue today? Three words: weak explosion. As far as the CPU used in PC is concerned, as early as 2006, Intel's first generation core 2 has steadily surpassed dark blue. This does not include the effect bonus brought by GPU in the graphics card. The performance of the most common integrated graphics card today has exceeded 700 gflops. If you really want to compete in performance, dark blue, the supercomputer of the last century, even if you are in a group, you may not be able to choose the laptop in front of you alone
what kind of performance level has today's supercomputers reached? Tianhe-2 is the fastest supercomputer in the world. Its floating-point computing capacity has reached 33.86 PFlops. In other words, dark blue needs to grow to 300000 times its own performance to be comparable to tianhe-2
however, for dark blue, such comparison is too unfair. Because even in those days, dark blue was not the fastest supercomputer. In contrast, only through the computers used by Google alphago can we compare the amazing development of our computers in the past 20 years
according to a paper published by the Google team in nature, alphago initially "trained" Ai to play go on a Google computer. According to the description in the paper, Google uses this computer to make alphago's go level close to that of European champion fan Hui. However, in addition to mentioning that the computer is equipped with 48 CPUs and 8 GPUs, the paper does not even mention the performance of the computer. Fortunately, alphago runs on the cloud computing platform. We only need to compare the computer data of our competitors, and then we can get the general information
for example, in December last year, Alibaba cloud opened its high-performance computing services to the public. According to Alibaba cloud's description, the single floating-point computing capability of these computers is 11 tflops, and they can also be used to train AI to learn by themselves. If Google's computer performance is close to that of Alibaba cloud, then the hardware driven by alphago has a performance at least 1000 times that of dark blue
but the story is not over yet. Alphago is not only a "stand-alone" version. In order to achieve higher computing power, Google has also connected alphago to a network of 1202 CPUs. After networking, alphago's computing power has increased by 24 times, jumping from the "stand-alone version" not to the level of the second stage of the career to the level of the fifth stage of the career
so how many times more powerful is alphago than dark blue? It's estimated that you've got the answer: 25000 times. From this point of view, we can also see how complicated go is. It takes 20 years to improve the performance of the computer before it can defeat human beings in chess and then sit in front of the top human players on the go board. But in the final analysis, alphago's most important achievement is not to use computers with excellent performance, but to make programs think, learn and improve in a human way for the first time. So in the next few days, no matter who wins or loses, we are witnessing the beginning of a new era
of course, don't forget to pay attention to Sina Technology. We will be at the front to welcome you to the first dawn of this new era.
let's put it this way: the "dark blue" that won the chess champion Kasparov in 1997 is a supercomputer, while alphago, who is going to play go with Li Shishi, is an artificial intelligence program developed by deepmind, a Google company. Let's talk about world peace. But alphago, as a program, has to run on a computer to compete with human beings. So change the question to "how many times more powerful is the computer that will play go with human beings than dark blue?"
we are still able to give an approximate answer by simple calculation. After all, in terms of measuring computer performance, we already have a fairly unified standard: the number of floating-point operations per second. For convenience, we all call it "flops" below
don't be scared away by the computer term "floating-point operation". In other words, floating-point operation is actually four arithmetic operations with decimals. For example, 1.2 plus 2.1 is a typical floating-point operation. If your primary school math teacher is not an American, then we estimate that at this moment you have already calculated the result by heart to be 3.3. But it's not that easy for computers
we know that computers operate on binary numbers composed of 0 and 1. For example, in the basic binary system, 1 is 1, 2 becomes 10, 3 is 11, 4 is 100... This operation mode allows us to assemble stable and effective computing machines with the simplest circuit components, but it also brings a problem: the number that computers can handle is only integers. If you want to express a 0.1 with 0 and 1 without any other mathematical method... Let's really talk about world peace
the solution to this problem is very simple: 0.1 can be regarded as the result of 1 divided by 10. If we want the computer to calculate a number with a decimal point, we just need to tell the CPU how many zeros are added after 1. But in this way, the computer in dealing with the decimal point, there are several more steps. So the speed of floating-point operation has become the standard to measure the performance of computer
take dark blue, which beat human beings in chess, for example, its computing power is 11.38 gflops, which means that dark blue can calculate 11.38 billion times of addition, subtraction, multiplication and division with decimals per second. ENIAC, the first general-purpose computer that helped the United States design and manufacture atomic bombs ring World War II, had only 300 flops
How about the performance of dark blue today? Three words: weak explosion. As far as the CPU used in PC is concerned, as early as 2006, Intel's first generation core 2 has steadily surpassed dark blue. This does not include the effect bonus brought by GPU in the graphics card. The performance of the most common integrated graphics card today has exceeded 700 gflops. If you really want to compete in performance, dark blue, the supercomputer of the last century, even if you are in a group, you may not be able to choose the laptop in front of you alone
what kind of performance level has today's supercomputers reached? Tianhe-2 is the fastest supercomputer in the world. Its floating-point computing capacity has reached 33.86 PFlops. In other words, dark blue needs to grow to 300000 times its own performance to be comparable to tianhe-2
however, for dark blue, such comparison is too unfair. Because even in those days, dark blue was not the fastest supercomputer. In contrast, only through the computers used by Google alphago can we compare the amazing development of our computers in the past 20 years
according to a paper published by the Google team in nature, alphago initially "trained" Ai to play go on a Google computer. According to the description in the paper, Google uses this computer to make alphago's go level close to that of European champion fan Hui. However, in addition to mentioning that the computer is equipped with 48 CPUs and 8 GPUs, the paper does not even mention the performance of the computer. Fortunately, alphago runs on the cloud computing platform. We only need to compare the computer data of our competitors, and then we can get the general information
for example, in December last year, Alibaba cloud opened its high-performance computing services to the public. According to Alibaba cloud's description, the single floating-point computing capability of these computers is 11 tflops, and they can also be used to train AI to learn by themselves. If Google's computer performance is close to that of Alibaba cloud, then the hardware driven by alphago has a performance at least 1000 times that of dark blue
but the story is not over yet. Alphago is not only a "stand-alone" version. In order to achieve higher computing power, Google has also connected alphago to a network of 1202 CPUs. After networking, alphago's computing power has increased by 24 times, jumping from the "stand-alone version" not to the level of the second stage of the career to the level of the fifth stage of the career
so how many times more powerful is alphago than dark blue? It's estimated that you've got the answer: 25000 times. From this point of view, we can also see how complicated go is. It takes 20 years to improve the performance of the computer before it can defeat human beings in chess and then sit in front of the top human players on the go board. But in the final analysis, alphago's most important achievement is not to use computers with excellent performance, but to make programs think, learn and improve in a human way for the first time. So in the next few days, no matter who wins or loses, we are witnessing the beginning of a new era
of course, don't forget to pay attention to Sina Technology. We will be at the front to welcome you to the first dawn of this new era.
5. The single precision of water-cooled 64 is 13.7t, and that of air-cooled 64 is 12.6. According to the price, in fact, air-cooled 64 is more valuable than water-cooled 64. Air cooled 64 is almost cheaper than water-cooled 64, but its performance is only a little less.
6.
Alibaba cloud, Huawei cloud, network, Tencent
Network: as a giant and instry leader of comprehensive search in China, it has a large amount of data, and has rich experience in natural language processing and machine deep learning4. Tencent: in the field of big data, Tencent is also an important force that can not be ignored, especially in the social field. Just thinking about the number of users of QQ and wechat, I feel terrible
big data is a treasure, and artificial intelligence is a craftsman. Big data makes it possible for us to collect huge amounts of information. Because of the vast data interaction and almost unlimited storage space, we no longer have to abandon those "seemingly useless" data because there is no place to put them
when more data becomes better, and mobile devices, wearable devices and all other devices become "interfaces" for data collection, we can make the ocean of data as vast as possible, because there are "all treasures" in it
7. It's better to find a large and reliable platform to avoid the pitfalls. The energy carrying platform is good with high transparency and no extra expenses. All operations are managed independently. It's mine pool, wallet and revenue. Advanced security level of data processing, 2fa double authentication, SSL data encryption. And process the bill through coinpayments.. I'm glad to be able to help you
8. It is mainly from four dimensions (basic computing power, invitation computing power, position computing power, transaction computing power) to calculate personal total computing power. The computing power system will be used as the subscription base of the first phase TB (token better platform points) to participate in the platform points subscription. The details of computing power acquisition are as follows:
1. Basic computing power
ring the first promotion activity, all registered users who have completed kyc2 can obtain 50000 basic computing power
2. During the first promotion activity, the user's invitation force = the number of directly and effectively invited * 100, and the valid invitation is the real name registered user who has completed kyc2
3. Position calculation force
ring the first promotion activity, the daily position calculation force of the user is equal to the total value of usdt, BTC and eth in the currency assets of that day / 7, and the total position calculation force ring the activity period is the sum of daily position calculation force. The value of user's currency assets will be subject to the snapshot data of the platform from time to time every day
4. Transaction computing power
ring the first promotion activity, the user transaction computing power = the total handling charge of the user's currency transaction from 0:00 to 24:00 of the day, equivalent to usdt value * 10, and the transaction computing power of the day must be greater than 5 times
TB holders enjoy the rights and interests:
1. TB holders enjoy the discount / return of service charge, and different number of holders will enjoy different amount of discount / return
2. TB holders will enjoy different amounts of partner rewards at the end of the year to further repay loyal users of the platform
3. To authenticate the rights and interests of OTC businesses, you can obtain exclusive authentication marks and one-to-one customer service< 4. TB holders have the opportunity to become global partners of token better
5. TB holders can directly participate in the subscription of all relevant projects in the explore X program
6. TB holders will give priority to all new procts of tokenbetter
7. TB holders will be given priority to enjoy special activities of the platform from time to time
8
9. TB will be the only designated token on the project
10;
1. Basic computing power
ring the first promotion activity, all registered users who have completed kyc2 can obtain 50000 basic computing power
2. During the first promotion activity, the user's invitation force = the number of directly and effectively invited * 100, and the valid invitation is the real name registered user who has completed kyc2
3. Position calculation force
ring the first promotion activity, the daily position calculation force of the user is equal to the total value of usdt, BTC and eth in the currency assets of that day / 7, and the total position calculation force ring the activity period is the sum of daily position calculation force. The value of user's currency assets will be subject to the snapshot data of the platform from time to time every day
4. Transaction computing power
ring the first promotion activity, the user transaction computing power = the total handling charge of the user's currency transaction from 0:00 to 24:00 of the day, equivalent to usdt value * 10, and the transaction computing power of the day must be greater than 5 times
TB holders enjoy the rights and interests:
1. TB holders enjoy the discount / return of service charge, and different number of holders will enjoy different amount of discount / return
2. TB holders will enjoy different amounts of partner rewards at the end of the year to further repay loyal users of the platform
3. To authenticate the rights and interests of OTC businesses, you can obtain exclusive authentication marks and one-to-one customer service< 4. TB holders have the opportunity to become global partners of token better
5. TB holders can directly participate in the subscription of all relevant projects in the explore X program
6. TB holders will give priority to all new procts of tokenbetter
7. TB holders will be given priority to enjoy special activities of the platform from time to time
8
9. TB will be the only designated token on the project
10;
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