Identifying potential coupling sources in the x86 instruction set

CPU contains the most critical technology of computer. At present, popular processors use not only X86 instruction set such as Intel and AMD, but also MIPS instruction set such as Loongson, Alpha instruction set such as Shenwei, and ARM instruction set such as Phytium. Aiming at the requirement of high performance computing and high bandwidth communication, a high performance server used four channel S2500 processors is proposed based on CC-NUMA parallel processing architecture. In the present paper, the characteristics of S2500 processor are analyzed, the typical operation mode of instruction pipeline is studied, and the topology of 4 way S2500 processors is proposed. While the parallel computing performance of the system is improved, TOE technology is applied to the system in order to minimize the occupancy of CPU resources in full-load communication of 10G Ethernet interface. By the test of comparing the computing performance of single processor and four channel processors, and the CPU occupancy rate of common network card and TOE network card, the results show that the server can achieve efficient parallel computing capability by using CC-NUMA architecture and 4 way S2500 processors. The TOE chip can guarantee 10G Ethernet communication capability while occupying CPU resources as little as possible. The designed system is suitable for application scenarios of high performance computing and high communication bandwidth.

12 - The next generations

This study aims to identify the effect of the teaching method using educational software based on artificial intelligence in the academic achievement of 10 th -grade students in computer science in Jordan and their attitudes towards it. To achieve the goal of this study, a computerized software was designed to be applied to a purposefully selected sample consisting of (50) 10 th -grade students at The University of Jordan School. The study sample was randomly distributed into two groups: an experimental sample taught using the educational software, and a control sample taught in the traditional method, where the researcher prepared an achievement test to measure the academic achievement of the 10 th -grade students in the Computer Science Subject, where the validity and reliability of the test has been validated, and the test-retest reliability coefficient was (0.86). A questionnaire was prepared for the attitudes, where their validity and reliability were validated. The reliability factor of the questionnaire based on Cronbach’s alpha equation was (0.01). To analyze the results, an analysis of covariance (ANCOVA) was used, where the results of the study showed that there are statistically significant differences in favor of the experimental group taught using educational software based on artificial intelligence in learning computer science subject. The results also showed that there are medium positive attitudes of the experimental group towards educational software. The study recommended designing and developing computerized software in the field of teaching computer science subject s and training and encouraging teachers to use artificial intelligence-based learning in the field of basic education. Keywords: artificial intelligence software, academic achievement, student attitudes, University of Jordan School DOI: 10.7176/JEP/11-7-10 Publication date: March 31 st 2020

This volume contains the proceedings of the Thirty-First Annual ACM/IEEE Symposium on Logic in Computer Science (LICS) held at Columbia University in New York City from July 5 to July 8, 2016. LICS is an annual international forum on theoretical and practical topics in computer science that relate to logic. The first LICS symposium was held in 1986, and LICS 2016 marks the thirtieth anniversary of that event.

There are not many interdisciplinary scientific fields as formal language theory. In this volume, it is presented as the very intersection point between Mathematics, Computer Science, Linguistics and Biology. The book is a collection of papers going deep into classical topics in computer science inspired formal languages, as well as other ones showing new concepts and problems motivated in linguistics and biology. The papers are organized in four sections: Grammars and Grammar Systems, Automata, Languages and Combinatorics, and Models of Molecular Computing. They clearly prove the power, wealth and vitality of the theory nowadays and sketch some trends for its future development. The volume is intended for an audience of computer scientists, computational linguists, theoretical biologists and any other people interested in dealing with the problems and challenges of interdisciplinarity.

We proposed in this study to use anomaly detection models to discover research trends. The application was illustrated by applying a rule-based anomaly detector (WSARE), which was typically used for biosurveillance purpose, in the research trend analysis in social computing research. Based on articles collected from SCI-EXPANDED and CPCI-S databases during 2000 to 2013, we found that the number of social computing studies went up significantly in the past decade, with computer science and engineering among the top important subjects. Followed by China, USA was the largest contributor for studies in this field. According to anomaly detected by the WSARE, social computing research gradually shifted from its traditional fields such as computer science and engineering, to the fields of medical and health, and communication, etc. There was an emerging of various new subjects in recent years, including sentimental analysis, crowdsourcing and e-health. We applied an interdisciplinary network evolution analysis to track changes in interdisciplinary collaboration, and found that most subject categories closely collaborate with subjects of computer science and engineering. Our study revealed that, anomaly detection models had high potentials in mining hidden research trends and may provided useful tools in the study of forecasting in other fields.

To the present day, the performance of microprocessors has progressed dramatically. Recently, almost all computer systems use reduced instruction set computer (RISC) architectures. However, about 30 years ago, complex instruction set computer (CISC) architectures were widely used for almost all computer systems. The advantages and successes of RISC architectures are attributable to their simplified structures. Conventional complex instruction set computer (CISC) architectures invariably included various and numerous instruction sets. Each instruction was able to execute a complicated multi-step operation. For that reason, the CISC architectures were useful in assembler-based programming environments and in systems with small amounts of memory. However, such complicated architectures prevent increases in clock frequency or a processor’s processing power. Therefore, RISC architectures—which use simple architectures based on single-step instruction sets—have been developed. The RISC architectures present advantages in terms of higher clock frequency, smaller implementation area, and lower power consumption than conventional complex instruction set computer (CISC) architectures. Observation of many examples reveals that, in circuit implementations, a simple structure is best to increase the overall performance. That principle is also applicable to programmable devices. If clock-by-clock reconfigurable devices are used, even a single instruction set computer (SISC) can be implemented onto them. A single instruction set computer is one in which a processor has only a single instruction. During production, various single instruction set computers are prepared: a single instruction set computer with an AND logic function, a single instruction set computer with an adder function, and so on. These processor units are implemented at necessary times and at necessary places of a programmable device. In CISC and RISC architectures, the hardware is fixed. Its operations are switched using software commands, as portrayed in Fig. 1(a). In contrast, in a single instruction set computer, the operation changes are executed by hardware reconfigurations, as shown in Figs. 1(b) and 1(c). Therefore, in a single instruction set computer, a processor with a certain function itself can be reconfigured to another processor with another function. The implementation of such single instruction set computers provides the following advantages under programmable device implementations. A single instruction set computer with the simplest architecture can operate at the highest clock frequency among all processor architectures. In RISC architectures, many selectors to change functions are implemented; such selectors have a certain delay. However, single instruction set computers

The ISP (for Instruction Set Processor) notation was developed for a text [Bell& Newell, 1971] to precisely describe the programming level of a computer in terms of its Memory, Instruction Format, Data Types, Data Operations, Interpreting a Specific Instruction Set.

A Review of:
 Cavacini, A. (2015). What is the best database for computer science journal articles? Scientometrics 102(3): 2059-2071. http://dx.doi.org/10.1007/s11192-014-1506-1
 
 Objective – To compare the coverage of computer science literature in four bibliographic databases by checking the indexing of a selection of journal articles. The purpose of this comparison was to identify the most comprehensive database in computer science and determine whether more than one database is needed to search for articles on computer science topics. 
 
 Design – Comparative database evaluation using citation analysis.
 
 Setting – Computer science journal literature found within the INSPEC, Scopus, Web of Science, and DBLP databases.
 
 Subjects – 1,135 computer science journal articles published by an Italian university’s researchers from 1979 to 2014.
 
 Methods – The University of Milan’s institutional repository (AIR), containing publications authored by the university’s researchers, was searched in October 2014 for journal articles that were assigned the subject heading “informatica” (the word for computer science in Italian). The author then searched the titles of these journal articles in each of the databases to check whether they were indexed. For articles indexed in all four databases, the author also examined the quality of the bibliographic records by looking for the presence of 20 elements (e.g., the “cited by” option, ranking of search results, precision of results, etc.) in each database’s record. These overlapping articles were also searched in Google Scholar to help compare the quality of the records between the databases. 
 
 Main Results – Scopus indexed 75.86% of the journal articles found in AIR, Web of Science indexed 64.49%, DBLP indexed 61.15%, and INSPEC indexed 53.39%. Web of Science and INSPEC put together covered 74.80% of the articles, which is comparable to the amount indexed by Scopus. DBLP and Scopus contained the highest number of references to articles that were not found in the other databases, about 4% each. Out of the 1,135 journal articles, 391 (34.45%) were indexed by all four databases, with Web of Science scoring the highest for providing the best quality bibliographic records for these articles. 
 
 Conclusions – According to the author, the findings showed that INSPEC, Scopus, Web of Science, and DBLP “complemented each other, in a way that neither one could replace the other” (p. 2068) when searching the computer science literature. While there was overlap between databases, they each also contained unique articles.

As computers become more functional and ubiquitous, societies are placing greater emphasis on programming and development skills. Computer science credentials and degree programs have long existed in higher education. Many high schools have also offered computer science courses like coding, computer graphics, game development, and cybersecurity. However, the desire to push computer science training to younger audiences is increasing. Currently, a dozen states require computer science instruction as a prerequisite for high school graduation (Barack, 2025). Many others provide opportunities for computer science experiences within PK-12 curricula. However, computer science topics may intimidate educators and students. Coding languages like Python, C#, and Javascript feel cryptic and take time to learn. Block options like Scratch provide easier entries into coding but still require sustained effort and attention.

Computer education in colleges and universities in China still can't meet the needs of the development of the computer industry, and how to establish computer education and training model under the current market economy mechanism, is the focus of attention. On how to train qualified personnel computer for local economic development, the article put forward a viable reform options. Set the curriculum to emphasize adherence to the principle of scientificity, practicality, dynamics, diversity and level, and handle the absorption and innovation, computer science and other subjects of the basic theory and new technology in three aspects. Pay attention to students in computer applications and innovative ability, closely into line with the social demand for professionals, which is the top priority of college computer training.

Numeric precision and representation issues are well-known topics in computer science. Non computer scientists sometimes are not aware of the problems that occur with these issues. This paper provides a brief introduction to problems based on numeric precision and the presentation of numbers on computerized systems. Numbers are stored as binary numbers in computerized systems. However, not all floating-point numbers can be represented properly in the binary system. When calculating with numbers that cannot be stored exactly, the result may not be as expected. In our case, 4.8 and 4.6 can not be stored exactly and therefore, the result of 4.8 minus 4.6 will not be exactly 0.2. The conversion of floating-point numbers to a storable IEEE-754 binary number is illustrated. Finally, some SAS functions and options are introduced that may help to deal with the issue.

The International Journal of Computer Engineering in Research Trends (IJCERT) is a peer-reviewed, open access journal that publishes high-quality research papers, reviews, short communications, and notes in the field of computer science engineering and its research trends. The journal covers a wide range of topics in computer science and engineering, including: Welcome to the International Journal of Computer Engineering in Research Trends (IJCERT), is a peer-reviewed, open access journal dedicated to publishing innovative research papers, reviews, short communications, and notes in the field of computer science engineering and related disciplines. IJCERT encourages conceptual, state-of-the-art, research, standard, implementation, experimental, application, and industrial case study discussions in various areas, including: computer architecture, computer networks, software engineering, information security, artificial intelligence, machine learning, data science, robotics, cyber-physical systems, the internet of things, and other areas of computer science engineering and Its Applications.

The idea of using web-based technologies in education as a means of interactive learning has been erging for several topics in computer science and engineering. It proves to be more effective in the learning process and hence rapidly expanding. In this paper we introduce an integrated environment for active learning in the information theory course and related fields. Our environment is designed to meet the learning preferences of computer engineering learners. The environment integrates several different materials to support the learners' preferred style. It includes a movie-like welcome component, an animated hyper-text introduction for the basic concepts of information theory, a communication model simulator, and an interactive set of exercises for self assessment. All the components of the environment are integrated into a single interface based on Java2D of Sun Microsysts. Being a Java applet, our environment is portable and web-based enabled, which makes it possible for learners to study at their convenience. An initial study shows that our integrated environment is a useful tool for learners of information theory and related fields.

In this paper, we investigate an interpretable definition of promising research topics, complemented with a predictive model. Two methods of topic identification were employed: bag of words and the LDA model, with reflection on their applicability and usefulness in the task of retrieving topics on a set of publication titles. Next, different criteria for promising topic were analyzed with respect to their usefulness and shortcomings. For verification purposes, the DBLP data set, an online open reference of computer science publications, is used. The presented results reveal potential of the proposed method for identification of promising research topics.