This introduction to networking large scale parallel computer systems acts as a primary resource for a wide readership, including network systems engineers, electronics engineers, systems designers, computer scientists involved in systems design and implementation of parallel algorithms development, graduate students in systems architecture, design, or engineering.

Until now, there were few textbooks that focused on the dynamic subject of speculative execution, a topic that is crucial to the development of high performance computer architectures. Speculative Execution in High Performance Computer Architectures describes many recent advances in speculative execution techniques. It covers cutting-edge research

The book deals with the most recent technology of distributed computing.As Internet continues to grow and provide practical connectivity between users of computers it has become possible to consider use of computing resources which are far apart and connected by Wide Area Networks.Instead of using only local computing power it has become practical to access computing resources widely distributed. In some cases between different countries in other cases between different continents.This idea of using computer power is similar to the well known electric power utility technology. Hence the name of this distributed computing technology is the Grid Computing.Initially grid computing was used by technologically advanced scientific users.They used grid computing to experiment with large scale problems which required high performance computing facilities and collaborative work.In the next stage of development the grid computing technology has become effective and economically attractive for large and medium size commercial companies.It is expected that eventually the grid computing style of providing computing power will become universal reaching every user in industry and business.* Written by academic and industrial experts who have developed or used grid computing* Many proposed solutions have been tested in real life applications* Covers most essential and technically relevant issues in grid computing

This book constitutes the refereed procedings of the 5th International Conference on Autonomic and Trusted Computing, ATC 2008, held in Oslo, Norway, in June 2008, co-located with UIC 2008, the 5th International Conference on Ubiquitous Intelligence and Computing. The 25 revised full papers presented together with 26 special session papers and 1 keynote talk were carefully reviewed and selected from 75 submissions. The regular papers are organized in topical sections on intrusion detection, trust, trusted systems and crypto, autonomic computing, organic computing, knowledge and patterns, and pervasive systems. The special session papers cover issues such as organic computing, trust, trust and dependable systems, routing and reliable systems, sensor networks, VoIP, and watermarking.

Multithreaded architectures now appear across the entire range of computing devices, from the highest-performing general purpose devices to low-end embedded processors. Multithreading enables a processor core to more effectively utilize its computational resources, as a stall in one thread need not cause execution resources to be idle. This enables the computer architect to maximize performance within area constraints, power constraints, or energy constraints. However, the architectural options for the processor designer or architect looking to implement multithreading are quite extensive and varied, as evidenced not only by the research literature but also by the variety of commercial implementations. This book introduces the basic concepts of multithreading, describes a number of models of multithreading, and then develops the three classic models (coarse-grain, fine-grain, and simultaneous multithreading) in greater detail. It describes a wide variety of architectural and software design tradeoffs, as well as opportunities specific to multithreading architectures. Finally, it details a number of important commercial and academic hardware implementations of multithreading. Table of Contents: Introduction / Multithreaded Execution Models / Coarse-Grain Multithreading / Fine-Grain Multithreading / Simultaneous Multithreading / Managing Contention / New Opportunities for Multithreaded Processors / Experimentation and Metrics / Implementations of Multithreaded Processors / Conclusion

Informatics - 10 Years Back, 10 Years Ahead presents a unique collection of expository papers on major current issues in the field of computer science and information technology. The 26 contributions written by leading researchers on personal invitation assess the state of the art of the field by looking back over the past decade, presenting important results, identifying relevant open problems, and developing visions for the decade to come. This book marks two remarkable and festive moments: the 10th anniversary of the International Research and Conference Center for Computer Science in Dagstuhl, Germany and the 2000th volume published in the Lecture Notes in Computer Science series.

This book highlights the potential of getting benefits from various applications of computational intelligence techniques. The present book is structured such that to include a set of selected and extended papers from the 6th IEEE International Symposium on Applied Computational Intelligence and Informatics SACI 2011, held in Timisoara, Romania, from 19 to 21 May 2011. After a serious paper review performed by the Technical Program Committee only 116 submissions were accepted, leading to a paper acceptance ratio of 65 %. A further refinement was made after the symposium, based also on the assessment of the presentation quality. Concluding, this book includes the extended and revised versions of the very best papers of SACI 2011 and few invited papers authored by prominent specialists. The readers will benefit from gaining knowledge of the computational intelligence and on what problems can be solved in several areas; they will learn what kind of approaches is advised to use in order to solve these problems. A very important benefit for the readers is an understanding of what the major difficulties are and the cost-effective solutions to deal with them. This book will offer a convenient entry for researchers and engineers who intend to work in the important fields of computational intelligence.

This book constitutes the refereed proceedings of the 10th Asia-Pacific Computer Systems Architecture Conference, ACSAC 2005, held in Singapore in October 2005. The 65 revised full papers presented were carefully reviewed and selected from 173 submissions. The papers are organized in topical sections on energy efficient and power aware techniques, methodologies and architectures for application-specific systems, processor architectures and microarchitectures, high-reliability and fault-tolerant architectures, compiler and OS for emerging architectures, data value predictions, reconfigurable computing systems and polymorphic architectures, interconnect networks and network interfaces, parallel architectures and computation models, hardware-software partitioning, verification, and testing of complex architectures, architectures for secured computing, simulation and performance evaluation, architectures for emerging technologies and applications, and memory systems hierarchy and management.

Advances in GPU Research and Practice focuses on research and practices in GPU based systems. The topics treated cover a range of issues, ranging from hardware and architectural issues, to high level issues, such as application systems, parallel programming, middleware, and power and energy issues. Divided into six parts, this edited volume provides the latest research on GPU computing. Part I: Architectural Solutions focuses on the architectural topics that improve on performance of GPUs, Part II: System Software discusses OS, compilers, libraries, programming environment, languages, and paradigms that are proposed and analyzed to help and support GPU programmers. Part III: Power and Reliability Issues covers different aspects of energy, power, and reliability concerns in GPUs. Part IV: Performance Analysis illustrates mathematical and analytical techniques to predict different performance metrics in GPUs. Part V: Algorithms presents how to design efficient algorithms and analyze their complexity for GPUs. Part VI: Applications and Related Topics provides use cases and examples of how GPUs are used across many sectors. - Discusses how to maximize power and obtain peak reliability when designing, building, and using GPUs - Covers system software (OS, compilers), programming environments, languages, and paradigms proposed to help and support GPU programmers - Explains how to use mathematical and analytical techniques to predict different performance metrics in GPUs - Illustrates the design of efficient GPU algorithms in areas such as bioinformatics, complex systems, social networks, and cryptography - Provides applications and use case scenarios in several different verticals, including medicine, social sciences, image processing, and telecommunications