Computer architecture and logic design Books
Springer Nonlinear Optical Materials and Devices for Applications in Information Technology Proceedings of the NATO Advanced Study Institute Erice Sicily 1326 1993 289 Nato Science Series E
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£170.99
Springer Graph Symmetry Algebraic Methods and Applications 497 Nato Science Series C
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£170.99
Springer Communicationbased Systems Proceedings of the 3rd International Workshop Held at the TU Berlin Germany 31 March1 April 2000 Proceeding of the TU Berlin Germany 31 March 1 April 2000
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£85.49
Springer New Horizons of Computational Science Proceedings of the International Symposium on Supercomputing Held in Tokyo Japan September 13 1997 Astrophysics and Space Science Library 263
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£170.99
Springer Wireless Communications TDMA versus CDMA
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£123.49
Springer FaultTolerant Parallel and Distributed Systems
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£123.49
Springer Cache and Interconnect Architectures in Multiprocessors
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£85.49
Springer Arrays Functional Languages and Parallel Systems Coastlines of the World
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£123.49
Springer Scalable Shared Memory Multiprocessors
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£123.49
Springer The Interaction of Compilation Technology and Computer Architecture
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£85.49
Springer Multiprocessor Execution of Logic Programs
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£123.49
Springer Parallel Language and Compiler Research in Japan
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£170.99
Springer Cooperative Computeraided Authoring and Learning A Systems Approach
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£170.99
Springer Fast Simulation of Computer Architectures
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£85.49
Springer Languages Compilers and RunTime Systems for Scalable Computers
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£123.49
Springer Document Processing and Retrieval Texpros
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£123.49
Springer Performance and Reliability Analysis of Computer Systems An ExampleBased Approach Using the SHARPE Software Package
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£123.49
Springer Automatic Performance Prediction of Parallel Programs
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£85.49
Action Publishing Technology Ltd Magnetic Core Memory Decoded
£24.70
Creative Media Partners, LLC Microprocessors and Microsystems
£32.25
Taylor & Francis Ltd Process Algebra for Parallel and Distributed
Book SynopsisCollects the Latest Research Involving the Application of Process Algebra to ComputingExploring state-of-the-art applications, Process Algebra for Parallel and Distributed Processing shows how one formal method of reasoningprocess algebrahas become a powerful tool for solving design and implementation challenges of concurrent systems. Parallel ProgrammingDivided into three parts, the book begins by parallelizing an algorithm for the Cell Broadband Engine processor of IBM, Sony, and Toshiba. It also develops a runtime environment that can be ported to different parallel platforms and describes the formal model of action systems. Distributed SystemsThe next part presents a process algebra (mCRL2) that targets distributed applications, looks at how to turn prose descriptions into unambiguous specifications, extends pi-calculus to create a service-oriented mobility abstract machTable of ContentsParallel Programming. Distributed Systems. Embedded Systems. Index.
£166.13
Xlibris IT Architecture in Action
£23.00
Xlibris VLSI HighSpeed IO Circuits
£41.87
Author Solutions Inc VLSI HighSpeed IO Circuits
£46.87
Plexity Digital Scalable Data Pipelines
£15.60
Artech House Publishers Enterprise Architecture for Integration: Rapid Delivery Methods and Technologies
Book SynopsisWith the fast pace of change in today's business environment, the need to transform organizations into agile enterprises that can respond quickly to change has never been greater. Methods and computer technologies are needed to enable rapid business and system change, and this practical book shows professionals how to achieve this agility. The solution lies in Enterprise Integration (both business and technology integration). For business integration, the book explains how to use enterprise architecture methods to integrate data, processes, locations, people, events and business plans throughout an organization.
£113.00
Universal Publishers The 8051/8052 Microcontroller: Architecture, Assembly Language, and Hardware Interfacing
£46.97
£32.25
Technics Publications Data Architecture
£29.96
White Falcon Publishing Basic Computer Architecture
£29.00
Murphy & Moore Publishing Modern Computer Architecture
Book Synopsis
£114.08
Independently Published Become an Awesome Software Architect: Book 1: Foundation 2019
£26.50
Paragon Publishing Enterprise Data Architecture: How to navigate its landscape
£22.99
Packt Publishing Limited Agile Model-Based Systems Engineering Cookbook: Improve system development by applying proven recipes for effective agile systems engineering
Book SynopsisGet up to date with the latest recipes for applying agile methodologies and techniques in model-based systems engineering (MBSE) and manage the growing complexity of systems in your organization with ease.Purchase of the print or Kindle book includes a free eBook in PDF format.Key Features Use this updated edition to learn how Agile and MBSE work iteratively and overcome system complexity Develop key systems engineering products and achieve enterprise objectives with step-by-step recipes Build efficient system engineering models using tried and trusted best practices Book DescriptionAgile MBSE can help organizations manage change while ensuring system correctness and meeting customers' needs. But deployment challenges have changed since our first edition.The Agile Model-Based Systems Engineering Cookbook's second edition focuses on workflows – or recipes – that will help MBSE practitioners and team leaders address practical situations that are part of deploying MBSE as part of an agile development process across the enterprise. In this 2nd edition, the Cameo MagicDraw Systems Modeler tool – the most popular tool for MBSE – is used in examples (models are downloadable by readers).Written by a world-renowned expert in MBSE, this book will take you through systems engineering workflows in the Cameo Systems Modeler SysML modeling tool and show you how they can be used with an agile and model-based approach. You'll start with the key concepts of agile methods for systems engineering. Next, each recipe will take you through initiating a project, outlining stakeholder needs, defining and analyzing system requirements, specifying system architecture, performing model-based engineering trade studies, all the way to handling systems specifications off to downstream engineering.By the end of this MBSE book, you'll learn how to implement systems engineering workflows and create systems engineering models.What you will learn Learn how to apply modelling to create and manage important engineering data Apply agile methods to develop systems engineering specifications Communicate decisions with downstream subsystem implementation teams Coordinate with engineers from other disciplines Apply MBSE practices to problems within simple systems or large systems Ensure accurate systems models via tests, simulation, and verification Who this book is forIf you are a systems engineer who wants to pursue model-based systems engineering in an agile setting, this book will show you how you can do that without breaking a sweat. Fundamental knowledge of SysML is necessary; the book will teach you the rest.Table of ContentsTable of Contents Basics of Agile Systems Modeling System Specification Developing System Architectures Handoff to Downstream Engineering Demonstration of Meeting Needs: Verification and Validation Appendix A: The Pegasus Bike Trainer
£44.99
Packt Publishing Limited Causal Inference and Discovery in Python: Unlock the secrets of modern causal machine learning with DoWhy, EconML, PyTorch and more
Book SynopsisDemystify causal inference and casual discovery by uncovering causal principles and merging them with powerful machine learning algorithms for observational and experimental data Purchase of the print or Kindle book includes a free PDF eBook Key Features Examine Pearlian causal concepts such as structural causal models, interventions, counterfactuals, and more Discover modern causal inference techniques for average and heterogenous treatment effect estimation Explore and leverage traditional and modern causal discovery methods Book DescriptionCausal methods present unique challenges compared to traditional machine learning and statistics. Learning causality can be challenging, but it offers distinct advantages that elude a purely statistical mindset. Causal Inference and Discovery in Python helps you unlock the potential of causality. You’ll start with basic motivations behind causal thinking and a comprehensive introduction to Pearlian causal concepts, such as structural causal models, interventions, counterfactuals, and more. Each concept is accompanied by a theoretical explanation and a set of practical exercises with Python code. Next, you’ll dive into the world of causal effect estimation, consistently progressing towards modern machine learning methods. Step-by-step, you’ll discover Python causal ecosystem and harness the power of cutting-edge algorithms. You’ll further explore the mechanics of how “causes leave traces” and compare the main families of causal discovery algorithms. The final chapter gives you a broad outlook into the future of causal AI where we examine challenges and opportunities and provide you with a comprehensive list of resources to learn more.What you will learn Master the fundamental concepts of causal inference Decipher the mysteries of structural causal models Unleash the power of the 4-step causal inference process in Python Explore advanced uplift modeling techniques Unlock the secrets of modern causal discovery using Python Use causal inference for social impact and community benefit Who this book is forThis book is for machine learning engineers, data scientists, and machine learning researchers looking to extend their data science toolkit and explore causal machine learning. It will also help developers familiar with causality who have worked in another technology and want to switch to Python, and data scientists with a history of working with traditional causality who want to learn causal machine learning. It’s also a must-read for tech-savvy entrepreneurs looking to build a competitive edge for their products and go beyond the limitations of traditional machine learning.Table of ContentsTable of Contents Causality – Hey, We Have Machine Learning, So Why Even Bother? Judea Pearl and the Ladder of Causation Regression, Observations, and Interventions Graphical Models Forks, Chains, and Immoralities Nodes, Edges, and Statistical (In)dependence The Four-Step Process of Causal Inference Causal Models – Assumptions and Challenges Causal Inference and Machine Learning – from Matching to Meta-Learners Causal Inference and Machine Learning – Advanced Estimators, Experiments, Evaluations, and More Causal Inference and Machine Learning – Deep Learning, NLP, and Beyond Can I Have a Causal Graph, Please? Causal Discovery and Machine Learning – from Assumptions to Applications Causal Discovery and Machine Learning – Advanced Deep Learning and Beyond Epilogue
£41.99
Packt Publishing Limited Model Context Protocol for Beginners
£33.99
Packt Publishing Limited Reverse Engineering Armv8A Systems
£41.31
Packt Publishing Limited AWS for Solutions Architects
£45.27
College Publications Beyond Alignment: Applying Systems Thinking in Architecting Enterprises
£24.70
ARM Education Media Embedded Systems Fundamentals with Arm Cortex M Based Microcontrollers: A Practical Approach
£31.99
Arm Education Media Fundamentals of System-on-Chip Design on Arm Cortex-M Microcontrollers
£37.99
Asatte Press, Inc. Simple SysML for Beginners: Using Sparx Enterprise Architect
£42.70
£73.81
Jaxson Media A Programmer's Guide to Computer Science Vol. 2
£19.99
NY Book Publishers Unchained Vision
£31.65
Springer Nature Switzerland AG Fundamentals of Computer Architecture and Design
Book SynopsisThis textbook provides semester-length coverage of computer architecture and design, providing a strong foundation for students to understand modern computer system architecture and to apply these insights and principles to future computer designs. It is based on the author’s decades of industrial experience with computer architecture and design, as well as with teaching students focused on pursuing careers in computer engineering. Unlike a number of existing textbooks for this course, this one focuses not only on CPU architecture, but also covers in great detail in system buses, peripherals and memories. This book teaches every element in a computing system in two steps. First, it introduces the functionality of each topic (and subtopics) and then goes into “from-scratch design” of a particular digital block from its architectural specifications using timing diagrams. The author describes how the data-path of a certain digital block is generated using timing diagrams, a method which most textbooks do not cover, but is valuable in actual practice. In the end, the user is ready to use both the design methodology and the basic computing building blocks presented in the book to be able to produce industrial-strength designs.Trade Review“This book can be part of computer engineering and electrical engineering graduate coursework and can be a reference book for engineers. It takes a bottom-up approach in which the author has covered basic principles before going into the breadth and depth of complex topics. It can broadly be divided in three sections: logic design, I/O, and central processing unit (CPU) design.” (Krishna Nagar, Computing Reviews , January, 25 , 2018) Table of ContentsReview Of Combinational Circuits.- Review Of Sequential Circuits.- Review Of Asynchronous Circuits.- System Bus.- Memory Circuits And Systems.- Central Processing Unit.- System Peripherals.- Special Topics.- Appendix.
£94.99
Springer Nature Switzerland AG System Verilog Assertions and Functional Coverage: Guide to Language, Methodology and Applications
Book SynopsisThis book provides a hands-on, application-oriented guide to the language and methodology of both SystemVerilog Assertions and Functional Coverage. Readers will benefit from the step-by-step approach to learning language and methodology nuances of both SystemVerilog Assertions and Functional Coverage, which will enable them to uncover hidden and hard to find bugs, point directly to the source of the bug, provide for a clean and easy way to model complex timing checks and objectively answer the question ‘have we functionally verified everything’. Written by a professional end-user of ASIC/SoC/CPU and FPGA design and Verification, this book explains each concept with easy to understand examples, simulation logs and applications derived from real projects. Readers will be empowered to tackle the modeling of complex checkers for functional verification and exhaustive coverage models for functional coverage, thereby drastically reducing their time to design, debug and cover. This updated third edition addresses the latest functional set released in IEEE-1800 (2012) LRM, including numerous additional operators and features. Additionally, many of the Concurrent Assertions/Operators explanations are enhanced, with the addition of more examples and figures. · Covers in its entirety the latest IEEE-1800 2012 LRM syntax and semantics; · Covers both SystemVerilog Assertions and SystemVerilog Functional Coverage languages and methodologies; · Provides practical applications of the what, how and why of Assertion Based Verification and Functional Coverage methodologies; · Explains each concept in a step-by-step fashion and applies it to a practical real life example; · Includes 6 practical LABs that enable readers to put in practice the concepts explained in the book.Table of ContentsIntroduction.- System Verilog Assertions.- Immediate Assertions.- Concurrent Assertions – Basics (sequence, property, assert).- Sampled Value Functions $rose, $fell.- Operators.- System Functions and Tasks.- Multiple clocks.- Local Variables.- Recursive property.- Detecting and using endpoint of a sequence.- ‘expect’.- ‘assume’ and formal (static functional) verification.- Other important topics.- Asynchronous Assertions !!!.- IEEE-1800–2009 Features.- SystemVerilog Assertions LABs.- System Verilog Assertions – LAB Answers.- Functional Coverage.- Performance Implications of coverage methodology.- Coverage Options.
£66.49
Springer Nature Switzerland AG Sequential and Parallel Algorithms and Data
Book SynopsisThis textbook is a concise introduction to the basic toolbox of structures that allow efficient organization and retrieval of data, key algorithms for problems on graphs, and generic techniques for modeling, understanding, and solving algorithmic problems. The authors aim for a balance between simplicity and efficiency, between theory and practice, and between classical results and the forefront of research. Individual chapters cover arrays and linked lists, hash tables and associative arrays, sorting and selection, priority queues, sorted sequences, graph representation, graph traversal, shortest paths, minimum spanning trees, optimization, collective communication and computation, and load balancing. The authors also discuss important issues such as algorithm engineering, memory hierarchies, algorithm libraries, and certifying algorithms. Moving beyond the sequential algorithms and data structures of the earlier related title, this book takes into account the paradigm shift towards the parallel processing required to solve modern performance-critical applications and how this impacts on the teaching of algorithms. The book is suitable for undergraduate and graduate students and professionals familiar with programming and basic mathematical language. Most chapters have the same basic structure: the authors discuss a problem as it occurs in a real-life situation, they illustrate the most important applications, and then they introduce simple solutions as informally as possible and as formally as necessary so the reader really understands the issues at hand. As they move to more advanced and optional issues, their approach gradually leads to a more mathematical treatment, including theorems and proofs. The book includes many examples, pictures, informal explanations, and exercises, and the implementation notes introduce clean, efficient implementations in languages such as C++ and Java.Trade Review“The style of the book is accessible and is suitable for a wide range of audiences, from mathematicians and computer scientists to researchers from other fields who would like to use parallelised approaches in their research.” (Irina Ioana Mohorianu, zbMATH 1445.68003, 2020)Table of ContentsAppetizer: Integer Arithmetic.- Introduction.- Representing Sequences by Arrays and Linked Lists.- Hash Tables and Associative Arrays.- Sorting and Selection.- Priority Queues.- Sorted Sequences.- Graph Representation.- Graph Traversal.- Shortest Paths.- Minimum Spanning Trees.- Generic Approaches to Optimization.- Collective Communication and Computation.- Load Balancing.- App. A, Mathematical Background.- App. B, Computer Architecture Aspects.- App. C, Support for Parallelism in C++.- App. D, The Message Passing Interface (MPI).- App. E, List of Commercial Products, Trademarks and Licenses.
£39.99