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This handbook volume covers fundamental topics of semantics in logic and computation. The chapters (some monographic in length), were written following years of co-ordination and follow a thematic point of view. The volume brings the reader up to front line research, and is indispensable to any serious worker in the areas.
This superb exposition of a complex subject examines new developments in the theory and practice of computation from a mathematical perspective, with topics ranging from classical computability to complexity, from biocomputing to quantum computing. This book is suitable for researchers and graduate students in mathematics, philosophy, and computer science with a special interest in logic and foundational issues. Most useful to graduate students are the survey papers on computable analysis and biological computing. Logicians and theoretical physicists will also benefit from this book.
The final quarter of the 20th century has seen the establishment of a global computational infrastructure. This and the advent of programming languages such as Java, supporting mobile distributed computing, has posed a significant challenge to computer sciences. The infrastructure can support commerce, medicine and government, but only if communications and computing can be secured against catastrophic failure and malicious interference.
Preface VI I X Table of Contents B. Möller and J.V. Tucker (Eds.): Prospects for Hardware Foundations, LNCS 1546, pp. 1-26, 1998. Springer-Verlag Berlin Heidelberg 1998 2 The NADA Group Introduction: NADA and NIL 3 4 The NADA Group Introduction: NADA and NIL 5 6 The NADA Group Introduction: NADA and NIL 7 8 The NADA Group Introduction: NADA and NIL 9 10 The NADA Group Introduction: NADA and NIL 11 12 The NADA Group Introduction: NADA and NIL 13 14 The NADA Group Introduction: NADA and NIL 15 16 The NADA Group Introduction: NADA and NIL 17 18 The NADA Group Introduction: NADA and NIL 19 20 The NADA Group Introduction: NADA and NIL 21 22 The NADA Group Introduction: NADA and NIL 23 24 The NADA Group Introduction: NADA and NIL 25 26 The NADA Group Streams, Stream Transformers and Domain Representations B. Möller and J.V. Tucker (Eds.): Prospects for Hardware Foundations, LNCS 1546, pp. 27-68, 1998. Springer-Verlag Berlin Heidelberg 1998 28 J. Blanck, V. Stoltenberg-Hansen, and J.V. Tucker Streams, Stream Transformers and Domain Representations 29 30 J. Blanck, V. Stoltenberg-Hansen, and J.V. Tucker Streams, Stream Transformers and Domain Representations 31 32 J. Blanck, V. Stoltenberg-Hansen, and J.V. Tucker Streams, Stream Transformers and Domain Representations 33 34 J. Blanck, V. Stoltenberg-Hansen, and J.V. Tucker Streams, Stream Transformers and Domain Representations 35 36 J. Blanck, V. Stoltenberg-Hansen, and J.V. Tucker Streams, Stream Transformers and Domain Representations 37
For some years, specification of software and hardware systems has been influenced not only by algebraic methods but also by new developments in logic. These new developments in logic are partly based on the use of algorithmic techniques in deduction and proving methods, but are alsodue to new theoretical advances, to a great extent stimulated by computer science, which have led to new types of logic and new logical calculi. The new techniques, methods and tools from logic, combined with algebra-based ones, offer very powerful and useful tools for the computer scientist, which may soon become practical for commercial use, where, in particular, more powerful specification tools are needed for concurrent and distributed systems. This volume contains papers based on lectures by leading researchers which were originally given at an international summer school held in Marktoberdorf in 1991. The papers aim to give a foundation for combining logic and algebra for the purposes of specification under the aspects of automated deduction, proving techniques, concurrency and logic, abstract data types and operational semantics, and constructive methods.
This book provides a comprehensive analysis of the most important topics in parallel computation. It is written so that it may be used as a self-study guide to the field, and researchers in parallel computing will find it a useful reference for many years to come. The first half of the book consists of an introduction to many fundamental issues in parallel computing. The second half provides lists of P-complete- and open problems. These lists will have lasting value to researchers in both industry and academia. The lists of problems, with their corresponding remarks, the thorough index, and the hundreds of references add to the exceptional value of this resource. While the exciting field of parallel computation continues to expand rapidly, this book serves as a guide to research done through 1994 and also describes the fundamental concepts that new workers will need to know in coming years. It is intended for anyone interested in parallel computing, including senior level undergraduate students, graduate students, faculty, and people in industry. As an essential reference, the book will be needed in all academic libraries.
Since Professor Hoare's book Communicating Sequential Processes was first published, his notation has been extensively used for teaching and applying concurrency theory. The most significant development since then has been the emergence of tools to support the teaching and industrial application of CSP. This has turned CSP from a notation used mainly for toy examples into one which can and does support the description of industrial-sized problems. In order to understand the tools you need a good grasp of the fundamental concepts of CSP, therefore the book is, in the first instance, a text on the principles of the language rather than being a manual on how to apply its tools. The Theory and Practice of Concurrency is divided into 3 sections. Part I is a foundation course on CSP, covering essentially the same material as the Hoare book, except that most of the mathematical theory has been omitted. It introduces the ideas behind the operational, denotational and algebraic models of CSP. Parts II and III go into more detail about the theory and practice of CSP. Either of them would make a one semester course or though they are independent of each other. This book assumes no mathematical knowledge except for a basic understanding of sets, sequences and functions. Part I and III use no sophisticated mathematics, and the extra amount needed for Part II is contained within Appendix A (which introduces the theory of partial order and metric/restriction spaces). The book brings substantial new insights into the important subjects of computer security, fault tolerance, real-time modelling, communications protocols and distributed databases. Each of these is supported by a case study and guidance on how to apply automated analysis to verify systems.
Programming Massively Parallel Processors: A Hands-on Approach, Second Edition, teaches students how to program massively parallel processors. It offers a detailed discussion of various techniques for constructing parallel programs. Case studies are used to demonstrate the development process, which begins with computational thinking and ends with effective and efficient parallel programs. This guide shows both student and professional alike the basic concepts of parallel programming and GPU architecture. Topics of performance, floating-point format, parallel patterns, and dynamic parallelism are covered in depth. This revised edition contains more parallel programming examples, commonly-used libraries such as Thrust, and explanations of the latest tools. It also provides new coverage of CUDA 5.0, improved performance, enhanced development tools, increased hardware support, and more; increased coverage of related technology, OpenCL and new material on algorithm patterns, GPU clusters, host programming, and data parallelism; and two new case studies (on MRI reconstruction and molecular visualization) that explore the latest applications of CUDA and GPUs for scientific research and high-performance computing. This book should be a valuable resource for advanced students, software engineers, programmers, and hardware engineers. - New coverage of CUDA 5.0, improved performance, enhanced development tools, increased hardware support, and more - Increased coverage of related technology, OpenCL and new material on algorithm patterns, GPU clusters, host programming, and data parallelism - Two new case studies (on MRI reconstruction and molecular visualization) explore the latest applications of CUDA and GPUs for scientific research and high-performance computing