The Organization of Reduction, Data Flow, and Control Flow Systems

The Organization of Reduction, Data Flow, and Control Flow Systems

Author: Werner Kluge

Publisher: MIT Press

Published: 1992

Total Pages: 494

ISBN-13: 9780262610810

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In light of research over the last decade on new ways of representing and performing computations, this book provides a timely reexamination of computer organization and computer architecture. It systematically investigates the basic organizational concepts of reduction, data flow, and control flow (or state transition) and their relationship to the underlying programming paradigms. For each of these concepts, Kluge looks at how princip1es of language organization translate into architectures and how architectural features translate into concrete system implementations, comparing them in order to identify their similarities and differences. The focus is primarily on a functional programming paradigm based on a full-fledged operational &-calculus and on its realization by various reduction systems. Kluge first presents a brief outline of the overall configuration of a computing system and of an operating system kernel, introduce elements of the theory of Petrinets as modeling tools for nonsequential systems and processes, and use a simple form of higher-order Petri nets to identify by means of examples the operational and control disciplines that govern the organization of reduction, data flow, and control flow computations. He then introduces the notions of abstract algorithms and of reductions and includes an overview of the theory of the &-calculus. The next five chapters describe the various computing engines that realize the reduction semantics of a full-fledged &-calculus. The remaining chapters provide self-contained investigations of the G-machine, SKI combinator reduction, and the data flow approach for implementing the functional programming paradigm. This is followed by a detailed description of a typical control flow (or von Neumann) machine architecture (a VAX11 system). Properties of these machines are summarized in the concluding chapter, which classifies them according to the semantic models they support.


Abstract Computing Machines

Abstract Computing Machines

Author: Werner Kluge

Publisher: Springer Science & Business Media

Published: 2005-02-18

Total Pages: 382

ISBN-13: 3540211462

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The book emphasizes the design of full-fledged, fully normalizing lambda calculus machinery, as opposed to the just weakly normalizing machines.


Parallel Processing from Applications to Systems

Parallel Processing from Applications to Systems

Author: Dan I. Moldovan

Publisher: Elsevier

Published: 2014-06-28

Total Pages: 586

ISBN-13: 1483297519

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This text provides one of the broadest presentations of parallel processing available, including the structure of parallelprocessors and parallel algorithms. The emphasis is on mapping algorithms to highly parallel computers, with extensive coverage of array and multiprocessor architectures. Early chapters provide insightful coverage on the analysis of parallel algorithms and program transformations, effectively integrating a variety of material previously scattered throughout the literature. Theory and practice are well balanced across diverse topics in this concise presentation. For exceptional clarity and comprehension, the author presents complex material in geometric graphs as well as algebraic notation. Each chapter includes well-chosen examples, tables summarizing related key concepts and definitions, and a broad range of worked exercises. - Overview of common hardware and theoretical models, including algorithm characteristics and impediments to fast performance - Analysis of data dependencies and inherent parallelism through program examples, building from simple to complex - Graphic and explanatory coverage of program transformations - Easy-to-follow presentation of parallel processor structures and interconnection networks, including parallelizing and restructuring compilers - Parallel synchronization methods and types of parallel operating systems - Detailed descriptions of hypercube systems - Specialized chapters on dataflow and on AI architectures


Computer Architecture and Organization (A Practical Approach)

Computer Architecture and Organization (A Practical Approach)

Author: Chopra Rajiv

Publisher: S. Chand Publishing

Published:

Total Pages: 975

ISBN-13: 8121942241

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Boolean Algebra And Basic Building Blocks 2. Computer Organisation(Co) Versus Computer Architecture (Ca) 3. Ragister Transfer Language (Rtl) 4. Bus And Memory 5. Instruction Set Architecture (Isa), Cpu Architecture And Control Design 6. Memory, Its Hierarchy And Its Types 7. Input And Output Processinf (Iop) 8. Parallel Processing 9. Computer Arithmetic Appendix A-E Appendix- A-Syllabus And Lecture Plans Appendix-B-Experiments In Csa Lab Appendix-C-Glossary Appendix-D-End Term University Question Papers Appendix-E- Bibliography


Readings in Distributed Artificial Intelligence

Readings in Distributed Artificial Intelligence

Author: Alan H. Bond

Publisher: Morgan Kaufmann

Published: 2014-06-05

Total Pages: 668

ISBN-13: 1483214443

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Most artificial intelligence research investigates intelligent behavior for a single agent--solving problems heuristically, understanding natural language, and so on. Distributed Artificial Intelligence (DAI) is concerned with coordinated intelligent behavior: intelligent agents coordinating their knowledge, skills, and plans to act or solve problems, working toward a single goal, or toward separate, individual goals that interact. DAI provides intellectual insights about organization, interaction, and problem solving among intelligent agents. This comprehensive collection of articles shows the breadth and depth of DAI research. The selected information is relevant to emerging DAI technologies as well as to practical problems in artificial intelligence, distributed computing systems, and human-computer interaction. "Readings in Distributed Artificial Intelligence" proposes a framework for understanding the problems and possibilities of DAI. It divides the study into three realms: the natural systems approach (emulating strategies and representations people use to coordinate their activities), the engineering/science perspective (building automated, coordinated problem solvers for specific applications), and a third, hybrid approach that is useful in analyzing and developing mixed collections of machines and human agents working together. The editors introduce the volume with an important survey of the motivations, research, and results of work in DAI. This historical and conceptual overview combines with chapter introductions to guide the reader through this fascinating field. A unique and extensive bibliography is also provided.


Digital Systems Reference Book

Digital Systems Reference Book

Author: Brian Holdsworth

Publisher:

Published: 1993

Total Pages: 1274

ISBN-13:

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Designed to provide comprehensive coverage of the field of digital systems in a concise but authoritative form. For ease of access the book has been divided into five parts: fundamentals; devices for digital systems; system design and techniques; system development; and applications.


Implementing DevSecOps Practices

Implementing DevSecOps Practices

Author: Vandana Verma Sehgal

Publisher: Packt Publishing Ltd

Published: 2023-12-22

Total Pages: 259

ISBN-13: 1803234431

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Integrate Shift-Left Security, automation, IaC, and compliance into every stage of development, ensuring strong application security and continuous protection for modern software with DevSecOps best practices Key Features Understand security posture management to maintain a resilient operational environment Master DevOps security and blend it with software engineering to create robust security protocols Adopt the left-shift approach to integrate early-stage security in DevSecOps Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionDevSecOps is built on the idea that everyone is responsible for security, with the goal of safely distributing security decisions at speed and scale to those who hold the highest level of context. This practice of integrating security into every stage of the development process helps improve both the security and overall quality of the software. This book will help you get to grips with DevSecOps and show you how to implement it, starting with a brief introduction to DevOps, DevSecOps, and their underlying principles. After understanding the principles, you'll dig deeper into different topics concerning application security and secure coding before learning about the secure development lifecycle and how to perform threat modeling properly. You’ll also explore a range of tools available for these tasks, as well as best practices for developing secure code and embedding security and policy into your application. Finally, you'll look at automation and infrastructure security with a focus on continuous security testing, infrastructure as code (IaC), protecting DevOps tools, and learning about the software supply chain. By the end of this book, you’ll know how to apply application security, safe coding, and DevSecOps practices in your development pipeline to create robust security protocols.What you will learn Find out how DevSecOps unifies security and DevOps, bridging a significant cybersecurity gap Discover how CI/CD pipelines can incorporate security checks for automatic vulnerability detection Understand why threat modeling is indispensable for early vulnerability identification and action Explore chaos engineering tests to monitor how systems perform in chaotic security scenarios Find out how SAST pre-checks code and how DAST finds live-app vulnerabilities during runtime Perform real-time monitoring via observability and its criticality for security management Who this book is for This book is for individuals new to DevSecOps and want to implement its practices successfully and efficiently. DevSecOps Engineers, Application Security Engineers, Developers, Pentesters, and Security Analysts will find plenty of useful information in this book. Prior knowledge of the software development process and programming logic is beneficial, but not mandatory.