The LINPACK Benchmark: past,present and future

This paper describes the LINPACK Benchmark and some of its variations commonly used to assess the performance of computer systems. Aside from the LINPACK Benchmark suite, the TOP500 and the HPL codes are presented. The latter is frequently used to obtained results for TOP500 submissions. Information is also given on how to interpret the results of the benchmark and how the results fit into the performance evaluation process. Copyright © 2003 John Wiley & Sons, Ltd.     

WWW: past, present, and future

The World Wide Web is simply defined as the universe of global network-accessible information. It is an abstract space within which people can interact, and it is chiefly populated by interlinked pages of text, images, and animations, with occasional sounds, videos, and three-dimensional worlds. The Web marks the end of an era of frustrating and debilitating incompatibility between computer systems. It has created an explosion of accessibility, with many potential social and economical impacts. The Web was designed to be a space within which people could work on a project. This was a powerful concept, in that: people who build a hypertext document of their shared understanding can refer to it at all times; people who join a project team can have access to a history of the team's activities, decisions, and so on; the work of people who leave a team can be captured for future reference; and a team's operations, if placed on the Web, can be machine-analyzed in a way that could not be done otherwise. The Web was originally supposed to be a personal information system and a tool for groups of all sizes, from a team of two to the entire world. People have rapidly developed new features for the Web, because of its tremendous commercial potential. This has made the maintenance of globalWeb interoperability a continuous task. This has also created a number of areas into which research must continue     

Connectionism: past,present, and future

Research efforts to study computation and cognitive modeling on neurally-inspired mechanisms have come to be called Connectionism. Rather than being brand new, it is actually the rebirth of a research programme which thrived from the 40s through the 60s and then was severely retrenched in the 70s. Connectionism is often posed as a paradigmatic competitor to the Symbolic Processing tradition of Artificial Intelligence (Dreyfus & Dreyfus, 1988), and, indeed, the counterpoint in the timing of their intellectual and commercial fortunes may lead one to believe that research in cognition is merely a zero-sum game. This paper surveys the history of the field, often in relation to AI, discusses its current successes and failures, and makes some predictions for where it might lead in the future.     

Rough sets: past,present, and future

Introduction of rough sets by Professor Zdzis?aw Pawlak has completed 35 years. The theory has already attracted the attention of many researchers and practitioners, who have contributed essentially to its development, from all over the world. The methods, developed based on rough set theory alone or in combination with other approaches, found applications in many areas. In this article, we outline some selected past and present research directions of rough sets. In particular, we emphasize the importance of searching strategies for relevant approximation spaces as the basic tools in achieving computational building blocks (granules or patterns) required for approximation of complex vague concepts. We also discuss new challenges related to problem solving by intelligent systems (IS) or complex adaptive systems (CAS). The concern is to control problems using interactive granular computing, an extension of the rough set approach, for effective realization of computations realized in IS or CAS. These challenges are important for the development of natural computing too.     

Energy-efficient networking: past, present, and future

The twenty-first century has witnessed major technological changes that have transformed the way we live, work, and interact with one another. One of the major technology enablers responsible for this remarkable transformation in our global society is the deployment and use of Information and Communication Technology (ICT) equipment. In fact, today ICT has become highly integrated in our society that includes the dependence on ICT of various sectors, such as business, transportation, education, and the economy to the point that we now almost completely depend on it. Over the last few years, the energy consumption resulting from the usage of ICT equipment and its impact on the environment have fueled a lot of interests among researchers, designers, manufacturers, policy makers, and educators. We present some of the motivations driving the need for energy-efficient communications. We describe and discuss some of the recent techniques and solutions that have been proposed to minimize energy consumption by communication devices, protocols, networks, end-user systems, and data centers. In addition, we highlight a few emerging trends and we also identify some challenges that need to be addressed to enable novel, scalable, cost-effective energy-efficient communications in the future.     

Coping with complexity: past, present and future

In 1981, a technical report was published with the somewhat enigmatic title ‘Coping with complexity.’ Its purpose was to discuss how computers could be used to assist process plant operators in coping with complex situations during plant disturbances. Today, coping with complexity is a problem not only for process plant operators but for everyone. And while computers in 1981 were looked upon as the solution, they are now seen as the source of the problem. This paper discusses why and how the meaning of ‘coping with complexity’ has changed over the years and speculate on what may lie ahead.     

Information ecology research: past,present, and future

This paper examines the status of information ecology research through studying the published papers on the topic of information ecology included in Social Sciences Citation Index and Science Citation Index database from 1992 to 2013. It applies bibliometrics and knowledge mapping to analyze the changes in the number of published papers as time goes on, in terms of country and geographic area, research topics, research methods, funding sources, hot research spots, and research trends. In addition, this paper summarizes the origin and the evolution of information ecology research and introduces institutions that conduct information ecology research. The results indicate that information ecology is an emerging field with vigorous development in recent years, and information ecology research is a multi-disciplinary subject. The research also reveals that information ecology research mainly focuses on information ecosystems, information ecology in e-commerce, and information ecology in a network. This paper calls for wider and deeper research on information ecology, in order to explore information ecology issues caused by the rapid development of new technologies.     

Neural machine translation: past,present, and future

Neural Computing and Applications - Deep neural networks (DNN) have achieved great success in several research areas like information retrieval, image processing, and speech recognition. In the...     

Design automation in MEDEA: present and future

The semiconductor industry has been growing at an unprecedented level since its start in the early 1960s. Capitalizing on the outstanding properties of silicon and its stable oxide permitted the introduction of the CMOS industry, the leading semiconductor industry process. However, the average 15% to 16% annual growth in semiconductor sales has also presented tremendous problems of huge investments in manufacturing. Mandatory now is a rapid return of investment through advanced products (in the latest available processes) that have high added value at the system level. Sometimes the system is the product itself, which raises thoughts of new ways to design these complex systems on a single chip that mixes several functionalities. This article explores a future European evolution of design automation, discussing the present status of Europe's lack of local industrial developments as well as its tremendous knowledge reservoir. Earlier MEDEA activities paved the road to new design solutions and gave European companies the chance to influence US developments, as is evidenced by frequent technology partnerships with US software vendors. Recently, we have seen a significant increase in European start-ups in advanced design automation domains (hardware-software codesign, intellectual property reuse, deep-submicron effects)     

Diagnosability of interconnection networks: past,present and future

ABSTRACT

Diagnosability is an important topic in analyzing vulnerability and resilience issues of interconnection networks. In this short commentary, we outline the development of this topic.     

Application areas of AIS: The past,the present and the future

After a decade of research into the area of artificial immune systems, it is worthwhile to take a step back and reflect on the contributions that the paradigm has brought to the application areas to which it has been applied. Undeniably, there have been a lot of successful stories—however, if the field is to advance in the future and really carve out its own distinctive niche, then it is necessary to be able to illustrate that there are clear benefits to be obtained by applying this paradigm rather than others. This paper attempts to take stock of the application areas that have been tackled in the past, and ask the difficult question “was it worth it ?”. We then attempt to suggest a set of problem features that we believe will allow the true potential of the immunological system to be exploited in computational systems, and define a unique niche for AIS.     

Digital multimedia audio forensics: past,present and future

Multimedia Tools and Applications - Digital audio forensics is used for a variety of applications ranging from authenticating audio files to link an audio recording to the acquisition device (e.g.,...