Macao computing earth
the running speed of supercomputer K is 816 million floating-point calculations per second (petaflops), which is composed of 68544 sparc64 viiifx processors. Each processor has 8 built-in cores, and the total number of cores is 548352. According to Fujitsu, the supercomputer is still under construction and will be put into operation in November 2012, when the number of processors will increase to 80000<
previously, China's Tianhe-1A ranked first, and ranked second in the latest list, with an operation speed of 257 million floating-point calculations per second. At the same time, China is also improving the computing speed of Tianhe-1. In third place is the United States "Jaguar" (Jaguar), the speed of 1759 million floating-point calculations per second.
G = GM / RR RWW
in the interior of the earth, the law of universal gravitation should also be obeyed, just like in the interior of a star, it is the universal gravitation that proces the fusion reaction.
because the height of the earth's surface is different, That is to say, the gravity you calculate on the eastern plain is actually equivalent to the gravity below the horizon of the Qinghai Tibet Plateau.
in fact, it is not clear under what circumstances the formula of gravity can be used. But generally, Newton's formula of gravity should be used in our calculation problems.
if your question is an option of multiple-choice questions, Then you can think it's right
Supercomputing Center's computing services are generally charged. You can go to the 10th power to learn about it. At present, the 10th power has launched free computing services
the tenth power cooperates with computing earth to launch the world's largest distributed computing resource computing power supply platform, providing free computing power support for projects requiring a large amount of computing power output. The computing power bank can provide idle computing power of personal devices worldwide, providing computing power support for world-class scientific research projects, involving mathematics, physics, chemistry, life sciences, astronomy and other fields
so far, the peak computing power is as high as 100p, which is equivalent to the computing power of tianhe-2, the world's fourth largest supercomputer, and can meet the needs of all computing power projects on the market
(1) Required equipment: balance, spring dynamometer< (2) experimental steps and physical quantities to be measured: < br > ① measure the mass of a hook code m with a balance, < br > ② hang the hook code on the spring dynamometer to measure its gravity g respectively, < br > ③ then G = < table cellpadding = - 1 "cellspacing = - 1" style = "margin"- right:1px ">
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.
(2) research significance
with the advent of the information age, consumers have obvious advantages in purchasing goods through the Internet compared with the traditional way. He can use the network terminal to retrieve the proct information more directly and effectively. As long as he inputs some characteristics of the required procts, such as category, model, brand, manufacturer, price and appearance, the network can automatically provide a list of alternatives. Consumers graally add various constraints to narrow the scope of automatic selection. Finally, they can get their most satisfactory procts by reading the detailed introction of each proct one by one. Instead of aimlessly looking for the information of the proct from a large number of existing media advertisements and storing it in memory for future purchase, consumers can know the latest change information of the proct from the Internet at any time in a targeted and timely manner, Can also choose the most competitive price, the most satisfactory procts. At the same time, with the application of digital currency and electronic check, online transaction payment will be more simple, safe and flexible. Therefore, e-mail shopping through the Internet will be a good choice for more consumers. Therefore, the advent of the information age has spawned the consumer behavior in the network environment. This paper, through the comparative analysis of consumer behavior in different environments, expounds the differences between them from the purchase process to the consumption mode, in order to provide reference for the formulation of marketing strategies
(3) research contents and ideas
in recent years, the research on network economy in countries all over the world has greatly improved in depth and breadth, and has achieved remarkable results. For example, in the network operation technology, security and other issues, there are constantly new solutions; The theory and practice of the third party logistics also solve the problem of physical distribution of goods in the era of network economy; On the other hand, there are different views on the online trading mode and business mechanism. However, under the condition of network economy, the research of consumer behavior change has not received e attention. Reviewing the practice of the development of global network economy, we can find that there are many online stores, but the transaction volume is not large; Many network companies operate in debt, and so on. One of the reasons is that they did not seriously analyze and study the changes in the market environment of network economy and consumer behavior and take corresponding countermeasures. Therefore, this paper starts with the analysis of the network market environment, and briefly introces the consumption behavior mode and consumption characteristics under the traditional conditions. Through the research on the way of consumers' cognitive activities of information space, this paper mainly discusses the characteristics of consumer behavior under the network environment and the changes compared with the traditional consumer behavior mode, This paper analyzes the main factors that may affect the change of consumer behavior, which is also the main content of this paper and the main problem to be solved
1. Through the collection of information and data, this paper introces the basic situation, outline analysis and nature of China's network market, and comprehensively introces the business environment of network environment
2. Analyze the traditional consumer behavior patterns and their main characteristics, including the characteristics of purchase behavior patterns and decision-making process
3. Analyze the consumer behavior patterns and characteristics under the network environment, and focus on the new characteristics of the consumption patterns under the network environment which are different from the traditional consumption patterns< This paper compares and analyzes the similarities and differences of consumer behavior between traditional environment and network environment, and expounds the consumption patterns of the two environments from the three dimensions of purchase motivation, consumption behavior and consumption pattern. 2. Literature review (1) foreign research trends
consumer research, also known as consumer behavior research. As far as the research level is concerned, western consumer research is usually carried out at the macro and micro levels. At the macro level, consumer behavior is related to the concept of consumer lifestyle, which is usually the description of demographic characteristics and consumer behavior characteristics of consumer groups. This kind of research is more descriptive research. At present, most of the surveys on Chinese consumer behavior also belong to lifestyle survey. The method is to measure the four dimensions of lifestyle proposed by Engel and others, namely attitude, activity, opinion and demographic, to describe consumers' lifestyle (Engel, Blackwell and kollat, 1978). According to the performance of the four dimensions, consumers are generally divided into several types; Among them, vals2 developed by Sri international is a famous lifestyle measurement tool. However, the usefulness of this tool has also been questioned by hermeneutics. The study found (Douglas b1holt, 1997) that this classification method can not distinguish the differences of consumers' lifestyles. Moreover, this method is rarely used in countries outside the United States. At the micro level, consumer behavior is usually associated with consumer cognition, attitude, purchase intention, decision-making process and other specific purchase behaviors, and tends to interpret and explain consumer behavior in specific information communication, purchase decision, proct use, brand attitude and other aspects, which mostly belongs to interpretive research. For marketers, it is easier to observe consumers' purchase decisions directly. Therefore, in the eyes of marketers, consumer behavior refers to consumers' consumption behavior in advertising cognition, information communication, purchase decisions and so on. Consumer behavior can be seen as composed of two parts: one is consumer action; The second is the decision-making process of consumers. Purchasing decision is the psychological activity and behavior tendency of consumers before using and disposing the purchased procts and services, which belongs to the forming process of consumption attitude; And consumer action is more the practice process of purchasing decision. In the real life of consumption, these two parts of consumer behavior permeate and influence each other, and together constitute the complete process of consumer behavior (Engel, 1978; Chen et al; Loudon , 1993) As far as the research route is concerned, one of the routes of western consumer behavior research is the positivism research method. It thinks that the consumer purchase process can be divided into several stages, which can be studied in stages, and the process of consumer perception, cognition, learning, attitude, decision-making and feedback can be studied in a segmented way (Loudon, 1993). Another research route is the so-called post-modern hermeneutic route, which believes that consumer behavior is influenced by the situation, and there is no common behavior law. Only by connecting the indivial consumer with his environment can we understand the characteristics of consumer behavior (Douglas b1ho1t, 1997). However, this research route is affected by the level and subjective factors of researchers, It is difficult to draw a more objective conclusion, so it has not been widely used< (2) domestic research trends
in the increasingly open society and market environment, Chinese consumer behavior is constantly changing. Since the 1990s, this issue has attracted the attention of scholars, especially those in Hong Kong and Taiwan, who have concted some researches on the behavioral characteristics of Chinese consumers, including the research on the lifestyle of consumers (Oliver h1m1, Yau, 1994), as well as the research methods of Chinese consumers (Yang Zhongfang, 1997). Among these scholars, the comparative study of consumers in mainland China, Hong Kong and Taiwan is more concerned. In addition, the localization study of Chinese consumers is also increasingly concerned. The core of the study is to get rid of the western theories and methods of consumer behavior research, seek the theories and methods suitable for the social and cultural psychology of Chinese consumers, and study the unique behavior patterns of Chinese consumers. Although more and more researchers have begun to study Chinese consumers, most of them are from the west, Hong Kong and Taiwan. Up to 1998, there were no papers published by mainland scholars on the research of Chinese consumer behavior in major international related journals. Among these journals, only 5% of the researches on Chinese consumers focused on women's consumption behavior (Leo y1m1 sin, Suk - Ching Ho, 2001; Leo y1m1 sin, Suk - Ching ho, 2001; Leo y1m1 sin, Suk - Ching Ho, 2001); Yim Ling Sum , 1997) In addition, only Hong Kong scholars have concted some comparative studies on Chinese women's consumption lifestyle behavior (Tai, Susan H C, Tam, Jackie l m, 1997; Jackie L. M.Tam and Susan H. C. Tai , 1998 ; Leo Y. M. Sin , Suk- ching Ho , 2001) In China, Professor Lu Tai Hong began to recruit the first batch of doctoral students in the direction of "consumer behavior and Chinese marketing" since 1999, and devoted himself to the study of Chinese consumer behavior by adopting the localization method. At present, there are three doctoral graates who have respectively entered into in-depth research on the lifestyle of the Chinese young generation, the temperament and behavior patterns of consumers, and the self-concept of Chinese female consumers; Meanwhile, marketing in China and marketing in China II were published in 2001 and 2002 respectively. These two books are not only sold in China