Performance Evaluation, Prediction and Visualization in Parallel Systems presents a comprehensive and systematic discussion of theoretics, methods, techniques and tools for performance evaluation, prediction and visualization of parallel systems. Chapter 1 gives a short overview of performance degradation of parallel systems, and presents a general discussion on the importance of performance evaluation, prediction and visualization of parallel systems. Chapter 2 analyzes and defines several kinds of serial and parallel runtime, points out some of the weaknesses of parallel speedup metrics, and discusses how to improve and generalize them. Chapter 3 describes formal definitions of scalability, addresses the basic metrics affecting the scalability of parallel systems, discusses scalability of parallel systems from three aspects: parallel architecture, parallel algorithm and parallel algorithm-architecture combinations, and analyzes the relations of scalability and speedup. Chapter 4 discusses the methodology of performance measurement, describes the benchmark- oriented performance test and analysis and how to measure speedup and scalability in practice. Chapter 5 analyzes the difficulties in performance prediction, discusses application-oriented and architecture-oriented performance prediction and how to predict speedup and scalability in practice. Chapter 6 discusses performance visualization techniques and tools for parallel systems from three stages: performance data collection, performance data filtering and performance data visualization, and classifies the existing performance visualization tools. Chapter 7 describes parallel compiling-based, search-based and knowledge-based performance debugging, which assists programmers to optimize the strategy or algorithm in their parallel programs, and presents visual programming-based performance debugging to help programmers identify the location and cause of the performance problem. It also provides concrete suggestions on how to modify their parallel program to improve the performance. Chapter 8 gives an overview of current interconnection networks for parallel systems, analyzes the scalability of interconnection networks, and discusses how to measure and improve network performances. Performance Evaluation, Prediction and Visualization in Parallel Systems serves as an excellent reference for researchers, and may be used as a text for advanced courses on the topic.

Are memory applications more critical than they have been in the past? Yes, but even more critical is the number of designs and the sheer number of bits on each design. It is assured that catastrophes, which were avoided in the past because memories were small, will easily occur if the design and test engineers do not do their jobs very carefully.
High Performance Memory Testing: Design Principles, Fault Modeling and Self Test is based on the author's 20 years of experience in memory design, memory reliability development and memory self test.

High Performance Memory Testing: Design Principles, Fault Modeling and Self Test is written for the professional and the researcher to help them understand the memories that are being tested.

This unique text/reference describes an exciting and novel approach to supercomputing in the DataFlow paradigm. The major advantages and applications of this approach are clearly described, and a detailed explanation of the programming model is provided using simple yet effective examples. The work is developed from a series of lecture courses taught by the authors in more than 40 universities across more than 20 countries, and from research carried out by Maxeler Technologies, Inc. Topics and features: presents a thorough introduction to DataFlow supercomputing for big data problems; reviews the latest research on the DataFlow architecture and its applications; introduces a new method for the rapid handling of real-world challenges involving large datasets; provides a case study on the use of the new approach to accelerate the Cooley-Tukey algorithm on a DataFlow machine; includes a step-by-step guide to the web-based integrated development environment WebIDE.

Component Models and Systems for Grid Applications is the essential reference for the most current research on Grid technologies. This first volume of the CoreGRID series addresses such vital issues as the architecture of the Grid, the way software will influence the development of the Grid, and the practical applications of Grid technologies for individuals and businesses alike.

Part I of the book, "Application-Oriented Designs," focuses on development methodology and how it may contribute to a more component-based use of the Grid. "Middleware Architecture," the second part, examines portable Grid engines, hierarchical infrastructures, interoperability, as well as workflow modeling environments. The final part of the book, "Communication Frameworks," looks at dynamic self-adaptation, collective operations, and higher-order components.

With Component Models and Systems for Grid Applications, editors Vladimir Getov and Thilo Kielmann offer the computing professional and the computing researcher the most informative, up-to-date, and forward-looking thoughts on the fast-growing field of Grid studies.

Multiprocessing: Trade-Offs in Computation and Communication presents an in-depth analysis of several commonly observed regular and irregular computations for multiprocessor systems. This book includes techniques which enable researchers and application developers to quantitatively determine the effects of algorithm data dependencies on execution time, on communication requirements, on processor utilization and on the speedups possible. Starting with simple, two-dimensional, diamond-shaped directed acyclic graphs, the analysis is extended to more complex and higher dimensional directed acyclic graphs. The analysis allows for the quantification of the computation and communication costs and their interdependencies. The practical significance of these results on the performance of various data distribution schemes is clearly explained. Using these results, the performance of the parallel computations are formulated in an architecture independent fashion. These formulations allow for the parameterization of the architecture specitific entities such as the computation and communication rates. This type of parameterized performance analysis can be used at compile time or at run-time so as to achieve the most optimal distribution of the computations. The material in Multiprocessing: Trade-Offs in Computation and Communication connects theory with practice, so that the inherent performance limitations in many computations can be understood, and practical methods can be devised that would assist in the development of software for scalable high performance systems.

Cache And Interconnect Architectures In Multiprocessors Eilat, Israel May 25-261989 Michel Dubois UniversityofSouthernCalifornia Shreekant S. Thakkar SequentComputerSystems The aim of the workshop was to bring together researchers working on cache coherence protocols for shared-memory multiprocessors with various interconnect architectures. Shared-memory multiprocessors have become viable systems for many applications. Bus based shared-memory systems (Eg. Sequent's Symmetry, Encore's Multimax) are currently limited to 32 processors. The fIrst goal of the workshop was to learn about the performance ofapplications on current cache-based systems. The second goal was to learn about new network architectures and protocols for future scalable systems. These protocols and interconnects would allow shared-memory architectures to scale beyond current imitations. The workshop had 20 speakers who talked about their current research. The discussions were lively and cordial enough to keep the participants away from the wonderful sand and sun for two days. The participants got to know each other well and were able to share their thoughts in an informal manner. The workshop was organized into several sessions. The summary of each session is described below. This book presents revisions of some of the papers presented at the workshop."

I am very pleased to play even a small part in the publication of this book on the SIGNAL language and its environment POLYCHRONY. I am sure it will be a s- ni?cant milestone in the development of the SIGNAL language, of synchronous computing in general, and of the data?ow approach to computation. In data?ow, the computation takes place in a producer-consumer network of - dependent processing stations. Data travels in streams and is transformed as these streams pass through the processing stations (often called ?lters). Data?ow is an attractive model for many reasons, not least because it corresponds to the way p- duction, transportation, andcommunicationare typicallyorganizedin the real world (outside cyberspace). I myself stumbled into data?ow almost against my will. In the mid-1970s, Ed Ashcroft and I set out to design a "super" structured programming language that, we hoped, would radically simplify proving assertions about programs. In the end, we decided that it had to be declarative. However, we also were determined that iterative algorithms could be expressed directly, without circumlocutions such as the use of a tail-recursive function. The language that resulted, which we named LUCID, was much less traditional then we would have liked. LUCID statements are equations in a kind of executable temporallogic thatspecifythe (time)sequencesof variablesinvolvedin aniteration.

Proceedings of the International Symposium on High Performance Computational Science and Engineering 2004 (IFIP World Computer Congress) is an essential reference for both academic and professional researchers in the field of computational science and engineering.

Computational Science and Engineering is increasingly becoming an emerging and promising discipline in shaping future research and development activities in academia and industry ranging from engineering, science, finance, economics, arts and humanitarian fields. New challenges are in modeling of complex systems, sophisticated algorithms, advanced scientific and engineering computing, and associated (multi-disciplinary) problem solving environments. The papers presented in this volume are specially selected to address the most up-to-date ideas, results, work-in-progress and research experience in the area of high performance computational techniques for science and engineering applications.

This state-of-the-are volume presents the proceedings of the International Symposium on High Performance Computational Science and Engineering, held in conjunction with the IFIP World Computer Congress, August 2004, in Toulouse, France.

The collection will be important not only for computational science and engineering experts and researchers but for all teachers and administrators interested in high performance computational techniques.

This book provides students and practicing chip designers with an easy-to-follow yet thorough, introductory treatment of the most promising emerging memories under development in the industry. Focusing on the chip designer rather than the end user, this book offers expanded, up-to-date coverage of emerging memories circuit design. After an introduction on the old solid-state memories and the fundamental limitations soon to be encountered, the working principle and main technology issues of each of the considered technologies (PCRAM, MRAM, FeRAM, ReRAM) are reviewed and a range of topics related to design is explored: the array organization, sensing and writing circuitry, programming algorithms and error correction techniques are reviewed comparing the approach followed and the constraints for each of the technologies considered. Finally the issue of radiation effects on memory devices has been briefly treated. Additionally some considerations are entertained about how emerging memories can find a place in the new memory paradigm required by future electronic systems. This book is an up-to-date and comprehensive introduction for students in courses on memory circuit design or advanced digital courses in VLSI or CMOS circuit design. It also serves as an essential, one-stop resource for academics, researchers and practicing engineers.

Advanced Fiber Access Networks takes a holistic view of broadband access networks-from architecture to network technologies and network economies. The book reviews pain points and challenges that broadband service providers face (such as network construction, fiber cable efficiency, transmission challenges, network scalability, etc.) and how these challenges are tackled by new fiber access transmission technologies, protocols and architecture innovations. Chapters cover fiber-to-the-home (FTTH) applications as well as fiber backhauls in other access networks such as 5G wireless and hybrid-fiber-coax (HFC) networks. In addition, it covers the network economy, challenges in fiber network construction and deployment, and more. Finally, the book examines scaling issues and bottlenecks in an end-to-end broadband network, from Internet backbones to inside customer homes, something rarely covered in books.

In this book, the subject is developed from basics of components involved. Each concept is clearly depicted through illustrations. Programming has been carried out in C programming with Linux background. A set of quiz and review questions has been presented at the end of each chapter. The book covers various topics from the basic building blocks, design methodologies, modeling of embedded systems to layered approach in embedded systems, microcontrollers. The aim in writing this book is to make the readers aware of what an embedded system is all about, how it is constructed, challenges faced in this field and coding for it. The reader who is totally new to this subject can definitely opt for this book to get a feel for the subject.

Instruction-Level Parallelism presents a collection of papers that attempts to capture the most significant work that took place during the 1980s in the area of instruction-level (ILP) parallel processing. The papers in this book discuss both compiler techniques and actual implementation experience on very long instruction word (VLIW) and superscalar architectures.

Dimensions of Uncertainty in Communication Engineering is a comprehensive and self-contained introduction to the problems of nonaleatory uncertainty and the mathematical tools needed to solve them. The book gathers together tools derived from statistics, information theory, moment theory, interval analysis and probability boxes, dependence bounds, nonadditive measures, and Dempster-Shafer theory. While the book is mainly devoted to communication engineering, the techniques described are also of interest to other application areas, and commonalities to these are often alluded to through a number of references to books and research papers. This is an ideal supplementary book for courses in wireless communications, providing techniques for addressing epistemic uncertainty, as well as an important resource for researchers and industry engineers. Students and researchers in other fields such as statistics, financial mathematics, and transport theory will gain an overview and understanding on these methods relevant to their field.

Microcantilevers for Atomic Force Microscope Data Storage describes a research collaboration between IBM Almaden and Stanford University in which a new mass data storage technology was evaluated. This technology is based on the use of heated cantilevers to form submicron indentations on a polycarbonate surface, and piezoresistive cantilevers to read those indentations. Microcantilevers for Atomic Force Microscope Data Storage describes how silicon micromachined cantilevers can be used for high-density topographic data storage on a simple substrate such as polycarbonate. The cantilevers can be made to incorporate resistive heaters (for thermal writing) or piezoresistive deflection sensors (for data readback). The primary audience for Microcantilevers for Atomic Force Microscope Data Storage is industrial and academic workers in the microelectromechanical systems (MEMS) area. It will also be of interest to researchers in the data storage industry who are investigating future storage technologies.

This volume comprises a collection of twenty written versions of invited as well as contributed papers presented at the conference held from 20-24 May 1996 in Beijing, China. It covers many areas of logic and the foundations of mathematics, as well as computer science. Also included is an article by M. Yasugi on the Asian Logic Conference which first appeared in Japanese, to provide a glimpse into the history and development of the series.

This book is devoted to logic synthesis and design techniques for asynchronous circuits. It uses the mathematical theory of Petri Nets and asynchronous automata to develop practical algorithms implemented in a public domain CAD tool. Asynchronous circuits have so far been designed mostly by hand, and are thus much less common than their synchronous counterparts, which have enjoyed a high level of design automation since the mid-1970s. Asynchronous circuits, on the other hand, can be very useful to tackle clock distribution, modularity, power dissipation and electro-magnetic interference in digital integrated circuits. This book provides the foundation needed for CAD-assisted design of such circuits, and can also be used as the basis for a graduate course on logic design.

This book aids in the rehabilitation of the wrongfully deprecated work of William Parry, and is the only full-length investigation into Parry-type propositional logics. A central tenet of the monograph is that the sheer diversity of the contexts in which the mereological analogy emerges - its effervescence with respect to fields ranging from metaphysics to computer programming - provides compelling evidence that the study of logics of analytic implication can be instrumental in identifying connections between topics that would otherwise remain hidden. More concretely, the book identifies and discusses a host of cases in which analytic implication can play an important role in revealing distinct problems to be facets of a larger, cross-disciplinary problem. It introduces an element of constancy and cohesion that has previously been absent in a regrettably fractured field, shoring up those who are sympathetic to the worth of mereological analogy. Moreover, it generates new interest in the field by illustrating a wide range of interesting features present in such logics - and highlighting these features to appeal to researchers in many fields.

Using memristors one can achieve circuit functionalities that are not possible to establish with resistors, capacitors and inductors, therefore the memristor is of great pragmatic usefulness. Potential unique applications of memristors are in spintronic devices, ultra-dense information storage, neuromorphic circuits and programmable electronics. "Memristor Networks "focuses on the design, fabrication, modelling of and implementation of computation in spatially extended discrete media with many memristors. Top experts in computer science, mathematics, electronics, physics and computer engineering present foundations of the memristor theory and applications, demonstrate how to design neuromorphic network architectures based on memristor assembles, analyse varieties of the dynamic behaviour of memristive networks and show how to realise computing devices from memristors. All aspects of memristor networks are presented in detail, in a fully accessible style. An indispensable source of information and an inspiring reference text, "Memristor Networks "is an invaluable resource for future generations of computer scientists, mathematicians, physicists and engineers.

This book addresses challenges faced by both the algorithm designer and the chip designer, who need to deal with the ongoing increase of algorithmic complexity and required data throughput for today s mobile applications. The focus is on implementation aspects and implementation constraints of individual components that are needed in transceivers for current standards, such as UMTS, LTE, WiMAX and DVB-S2. The application domain is the so called outer receiver, which comprises the channel coding, interleaving stages, modulator, and multiple antenna transmission. Throughout the book, the focus is on advanced algorithms that are actually in use
in modern communications systems. Their basic principles are always derived with a focus on the resulting communications and implementation performance. As a result, this book serves as a valuable reference for two, typically disparate audiences in communication systems and hardware design."

Use your laptop or tablet with confidence This practical book will have you achieving immediate results using: a friendly, visual approach simple language practical, task-based examples large, full-colour screenshots. Discover everything you want to know about choosing and using your laptop or tablet in this easy-to-use guide; from the most essential tasks that you'll want to perform, to solving the most common problems you'll encounter. Practical. Simple. Fast. Get the most out of your laptop or tablet with practical tips on every page: * ALERT: Solutions to common problems * HOT TIP: Time-saving shortcuts * SEE ALSO: Related tasks and information * DID YOU KNOW? Additional features to explore * WHAT DOES THIS MEAN? Jargon explained in plain English

Cybersecurity risk is a top-of-the-house issue for all organizations. Cybertax-Managing the Risks and Results is a must read for every current or aspiring executive seeking the best way to manage and mitigate cybersecurity risk. It examines cybersecurity as a tax on the organization and charts the best ways leadership can be cybertax efficient. Viewing cybersecurity through the cybertax lens provides an effective way for non-cybersecurity experts in leadership to manage and govern cybersecurity in their organizations The book outlines questions and leadership techniques to gain the relevant information to manage cybersecurity threats and risk. The book enables executives to: Understand cybersecurity risk from a business perspective Understand cybersecurity risk as a tax (cybertax) Understand the cybersecurity threat landscape Drive business-driven questions and metrics for managing cybersecurity risk Understand the Seven C's for managing cybersecurity risk Governing the cybersecurity function is as important as governing finance, sales, human resources, and other key leadership responsibilities Executive leadership needs to manage cybersecurity risk like they manage other critical risks, such as sales, finances, resources, and competition. This book puts managing cybersecurity risk on an even plane with these other significant risks that demand leader ships' attention. The authors strive to demystify cybersecurity to bridge the chasm from the top-of-the-house to the cybersecurity function. This book delivers actionable advice and metrics to measure and evaluate cybersecurity effectiveness across your organization.

Smart cards or IC cards offer a huge potential for information processing purposes. The portability and processing power of IC cards allow for highly secure conditional access and reliable distributed information processing. IC cards that can perform highly sophisticated cryptographic computations are already available. Their application in the financial services and telecom industries are well known. But the potential of IC cards go well beyond that. Their applicability in mainstream Information Technology and the Networked Economy is limited mainly by our imagination; the information processing power that can be gained by using IC cards remains as yet mostly untapped and is not well understood. Here lies a vast uncovered research area which we are only beginning to assess, and which will have a great impact on the eventual success of the technology. The research challenges range from electrical engineering on the hardware side to tailor-made cryptographic applications on the software side, and their synergies. This volume comprises the proceedings of the Fourth Working Conference on Smart Card Research and Advanced Applications (CARDIS 2000), which was sponsored by the International Federation for Information Processing (IFIP) and held at the Hewlett-Packard Labs in the United Kingdom in September 2000. CARDIS conferences are unique in that they bring together researchers who are active in all aspects of design of IC cards and related devices and environments, thus stimulating synergy between different research communities from both academia and industry. This volume presents the latest advances in smart card research and applications, and will be essential reading for smart card developers, smart card application developers, and computer science researchers involved in computer architecture, computer security, and cryptography.

The communication complexity of two-party protocols is an only 15 years old complexity measure, but it is already considered to be one of the fundamen tal complexity measures of recent complexity theory. Similarly to Kolmogorov complexity in the theory of sequential computations, communication complex ity is used as a method for the study of the complexity of concrete computing problems in parallel information processing. Especially, it is applied to prove lower bounds that say what computer resources (time, hardware, memory size) are necessary to compute the given task. Besides the estimation of the compu tational difficulty of computing problems the proved lower bounds are useful for proving the optimality of algorithms that are already designed. In some cases the knowledge about the communication complexity of a given problem may be even helpful in searching for efficient algorithms to this problem. The study of communication complexity becomes a well-defined indepen dent area of complexity theory. In addition to a strong relation to several funda mental complexity measures (and so to several fundamental problems of com plexity theory) communication complexity has contributed to the study and to the understanding of the nature of determinism, nondeterminism, and random ness in algorithmics. There already exists a non-trivial mathematical machinery to handle the communication complexity of concrete computing problems, which gives a hope that the approach based on communication complexity will be in strumental in the study of several central open problems of recent complexity theory."