Memory Machines

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Memory Machines

Author : Belinda Barnet
Publisher : Anthem Press
Page : 192 pages
File Size : 45,7 Mb
Release : 2013-07-15
Category : Computers
ISBN : 9780857280794

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Memory Machines by Belinda Barnet Pdf

This book explores the history of hypertext, an influential concept that forms the underlying structure of the World Wide Web and innumerable software applications. Barnet combines an analysis of contemporary literature with her exclusive interviews with those at the forefront of the hypertext innovation. She tells both the human and the technological story, tracing its path back to an analogue device imagined by Vannevar Bush in 1945, before modern computing had happened. ‘Memory Machines’ offers an expansive record of hypertext over the last 60 years, pinpointing the major breakthroughs and fundamental flaws in its evolution. Barnet argues that some of the earliest hypertext systems were more richly connected and in some respects more flexible than the Web; this is also a fascinating account of the paths not taken. Barnet ends the journey through computing history at the birth of mass domesticated hypertext, at the point that it grew out of the university labs and into the Web. And yet she suggests that hypertext may not have completed its evolutionary story, and may still have the capacity to become something different, something much better than it is today.

Languages, Compilers and Run-time Environments for Distributed Memory Machines

Author : J. Saltz,P. Mehrotra
Publisher : Elsevier
Page : 323 pages
File Size : 52,5 Mb
Release : 2014-06-28
Category : Computers
ISBN : 9781483295381

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Languages, Compilers and Run-time Environments for Distributed Memory Machines by J. Saltz,P. Mehrotra Pdf

Papers presented within this volume cover a wide range of topics related to programming distributed memory machines. Distributed memory architectures, although having the potential to supply the very high levels of performance required to support future computing needs, present awkward programming problems. The major issue is to design methods which enable compilers to generate efficient distributed memory programs from relatively machine independent program specifications. This book is the compilation of papers describing a wide range of research efforts aimed at easing the task of programming distributed memory machines.

Memory Machines

Author : Belinda Barnet
Publisher : Anthem Press
Page : 192 pages
File Size : 44,5 Mb
Release : 2013-07-15
Category : Computers
ISBN : 9780857281968

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Memory Machines by Belinda Barnet Pdf

This book explores the history of hypertext, an influential concept that forms the underlying structure of the World Wide Web and innumerable software applications. Barnet tells both the human and the technological story by weaving together contemporary literature and her exclusive interviews with those at the forefront of hypertext innovation, tracing its evolutionary roots back to the analogue machine imagined by Vannevar Bush in 1945.

Abstract State Machines 2003: Advances in Theory and Practice

Author : Egon Börger,Angelo Gargantini,Elvinia Riccobene
Publisher : Springer
Page : 436 pages
File Size : 49,8 Mb
Release : 2003-07-01
Category : Computers
ISBN : 9783540364986

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Abstract State Machines 2003: Advances in Theory and Practice by Egon Börger,Angelo Gargantini,Elvinia Riccobene Pdf

This book constitutes the refereed proceedings of the 10th International Workshop on Abstract State Machines, ASM 2003, held in Taormina, Italy in March 2003. The 16 revised full papers presented together with 8 invited papers and 12 abstracts were carefully reviewed and selected for inclusion in the book. The papers reflect the state of the art of the abstract state machine method for the design and analysis of complex software/hardware systems. Besides theoretical results and methodological progress, application in various fields are studied as well.

Synthesis of Finite State Machines

Author : Tiziano Villa,Timothy Kam,Robert K. Brayton,Alberto L. Sangiovanni-Vincentelli
Publisher : Springer Science & Business Media
Page : 382 pages
File Size : 53,5 Mb
Release : 2012-12-06
Category : Technology & Engineering
ISBN : 9781461561552

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Synthesis of Finite State Machines by Tiziano Villa,Timothy Kam,Robert K. Brayton,Alberto L. Sangiovanni-Vincentelli Pdf

Synthesis of Finite State Machines: Logic Optimization is the second in a set of two monographs devoted to the synthesis of Finite State Machines (FSMs). The first volume, Synthesis of Finite State Machines: Functional Optimization, addresses functional optimization, whereas this one addresses logic optimization. The result of functional optimization is a symbolic description of an FSM which represents a sequential function chosen from a collection of permissible candidates. Logic optimization is the body of techniques for converting a symbolic description of an FSM into a hardware implementation. The mapping of a given symbolic representation into a two-valued logic implementation is called state encoding (or state assignment) and it impacts heavily area, speed, testability and power consumption of the realized circuit. The first part of the book introduces the relevant background, presents results previously scattered in the literature on the computational complexity of encoding problems, and surveys in depth old and new approaches to encoding in logic synthesis. The second part of the book presents two main results about symbolic minimization; a new procedure to find minimal two-level symbolic covers, under face, dominance and disjunctive constraints, and a unified frame to check encodability of encoding constraints and find codes of minimum length that satisfy them. The third part of the book introduces generalized prime implicants (GPIs), which are the counterpart, in symbolic minimization of two-level logic, to prime implicants in two-valued two-level minimization. GPIs enable the design of an exact procedure for two-level symbolic minimization, based on a covering step which is complicated by the need to guarantee encodability of the final cover. A new efficient algorithm to verify encodability of a selected cover is presented. If a cover is not encodable, it is shown how to augment it minimally until an encodable superset of GPIs is determined. To handle encodability the authors have extended the frame to satisfy encoding constraints presented in the second part. The covering problems generated in the minimization of GPIs tend to be very large. Recently large covering problems have been attacked successfully by representing the covering table with binary decision diagrams (BDD). In the fourth part of the book the authors introduce such techniques and extend them to the case of the implicit minimization of GPIs, where the encodability and augmentation steps are also performed implicitly. Synthesis of Finite State Machines: Logic Optimization will be of interest to researchers and professional engineers who work in the area of computer-aided design of integrated circuits.

Large-scale Kernel Machines

Author : Léon Bottou,Olivier Chapelle,Dennis Decoste
Publisher : MIT Press
Page : 409 pages
File Size : 44,8 Mb
Release : 2007
Category : Computers
ISBN : 9780262026253

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Large-scale Kernel Machines by Léon Bottou,Olivier Chapelle,Dennis Decoste Pdf

Solutions for learning from large scale datasets, including kernel learning algorithms that scale linearly with the volume of the data and experiments carried out on realistically large datasets. Pervasive and networked computers have dramatically reduced the cost of collecting and distributing large datasets. In this context, machine learning algorithms that scale poorly could simply become irrelevant. We need learning algorithms that scale linearly with the volume of the data while maintaining enough statistical efficiency to outperform algorithms that simply process a random subset of the data. This volume offers researchers and engineers practical solutions for learning from large scale datasets, with detailed descriptions of algorithms and experiments carried out on realistically large datasets. At the same time it offers researchers information that can address the relative lack of theoretical grounding for many useful algorithms. After a detailed description of state-of-the-art support vector machine technology, an introduction of the essential concepts discussed in the volume, and a comparison of primal and dual optimization techniques, the book progresses from well-understood techniques to more novel and controversial approaches. Many contributors have made their code and data available online for further experimentation. Topics covered include fast implementations of known algorithms, approximations that are amenable to theoretical guarantees, and algorithms that perform well in practice but are difficult to analyze theoretically. Contributors Léon Bottou, Yoshua Bengio, Stéphane Canu, Eric Cosatto, Olivier Chapelle, Ronan Collobert, Dennis DeCoste, Ramani Duraiswami, Igor Durdanovic, Hans-Peter Graf, Arthur Gretton, Patrick Haffner, Stefanie Jegelka, Stephan Kanthak, S. Sathiya Keerthi, Yann LeCun, Chih-Jen Lin, Gaëlle Loosli, Joaquin Quiñonero-Candela, Carl Edward Rasmussen, Gunnar Rätsch, Vikas Chandrakant Raykar, Konrad Rieck, Vikas Sindhwani, Fabian Sinz, Sören Sonnenburg, Jason Weston, Christopher K. I. Williams, Elad Yom-Tov

Building Google Cloud Platform Solutions

Author : Ted Hunter,Steven Porter,Legorie Rajan PS
Publisher : Packt Publishing Ltd
Page : 763 pages
File Size : 44,7 Mb
Release : 2019-03-26
Category : Computers
ISBN : 9781838648701

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Building Google Cloud Platform Solutions by Ted Hunter,Steven Porter,Legorie Rajan PS Pdf

Build cost-effective and robust cloud solutions with Google Cloud Platform (GCP) using these simple and practical recipes Key FeaturesExplore the various service offerings of the GCPHost a Python application on Google Compute EngineSecurely maintain application states with Cloud Storage, Datastore, and BigtableBook Description GCP is a cloud computing platform with a wide range of products and services that enable you to build and deploy cloud-hosted applications. This Learning Path will guide you in using GCP and designing, deploying, and managing applications on Google Cloud. You will get started by learning how to use App Engine to access Google's scalable hosting and build software that runs on this framework. With the help of Google Compute Engine, you’ll be able to host your workload on virtual machine instances. The later chapters will help you to explore ways to implement authentication and security, Cloud APIs, and command-line and deployment management. As you hone your skills, you’ll understand how to integrate your new applications with various data solutions on GCP, including Cloud SQL, Bigtable, and Cloud Storage. Following this, the book will teach you how to streamline your workflow with tools, including Source Repositories, Container Builder, and Stackdriver. You'll also understand how to deploy and debug services with IntelliJ, implement continuous delivery pipelines, and configure robust monitoring and alerts for your production systems. By the end of this Learning Path, you'll be well versed with GCP’s development tools and be able to develop, deploy, and manage highly scalable and reliable applications. This Learning Path includes content from the following Packt products: Google Cloud Platform for Developers Ted Hunter and Steven PorterGoogle Cloud Platform Cookbook by Legorie Rajan PSWhat you will learnHost an application using Google Cloud FunctionsMigrate a MySQL database to Cloud SpannerConfigure a network for a highly available application on GCPLearn simple image processing using Storage and Cloud FunctionsAutomate security checks using Policy ScannerDeploy and run services on App Engine and Container EngineMinimize downtime and mitigate issues with Stackdriver Monitoring and DebuggerIntegrate with big data solutions, including BigQuery, Dataflow, and Pub/SubWho this book is for This Learning Path is for IT professionals, engineers, and developers who want to implement Google Cloud in their organizations. Administrators and architects planning to make their organization more efficient with Google Cloud will also find this Learning Path useful. Basic understanding of GCP and its services is a must.

Introduction to Languages, Machines and Logic

Author : Alan P. Parkes
Publisher : Springer Science & Business Media
Page : 372 pages
File Size : 52,5 Mb
Release : 2002-04-26
Category : Computers
ISBN : 1852334649

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Introduction to Languages, Machines and Logic by Alan P. Parkes Pdf

A well-written and accessible introduction to the most important features of formal languages and automata theory. It focuses on the key concepts, illustrating potentially intimidating material through diagrams and pictorial representations, and this edition includes new and expanded coverage of topics such as: reduction and simplification of material on Turing machines; complexity and O notation; propositional logic and first order predicate logic. Aimed primarily at computer scientists rather than mathematicians, algorithms and proofs are presented informally through examples, and there are numerous exercises (many with solutions) and an extensive glossary.

Evolving the High Performance Computing and Communications Initiative to Support the Nation's Information Infrastructure

Author : National Research Council,Computer Science and Telecommunications Board,Committee to Study High Performance Computing and Communications: Status of a Major Initiative
Publisher : National Academies Press
Page : 134 pages
File Size : 53,8 Mb
Release : 1995-03-27
Category : Computers
ISBN : 9780309052771

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Evolving the High Performance Computing and Communications Initiative to Support the Nation's Information Infrastructure by National Research Council,Computer Science and Telecommunications Board,Committee to Study High Performance Computing and Communications: Status of a Major Initiative Pdf

Maintaining the United States' strong lead in information technology will require continued federal support of research in this area, most of which is currently funded under the High Performance Computing and Communications Initiative (HPCCI). The Initiative has already accomplished a great deal and should be continued. This book provides 13 major recommendations for refining both HPCCI and support of information technology research in general. It also provides a good overview of the development of HPCC technologies.

Electric Vehicle Machines and Drives

Author : K. T. Chau
Publisher : John Wiley & Sons
Page : 375 pages
File Size : 41,7 Mb
Release : 2015-05-26
Category : Technology & Engineering
ISBN : 9781118752616

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Electric Vehicle Machines and Drives by K. T. Chau Pdf

A timely comprehensive reference consolidates the research and development of electric vehicle machines and drives for electric and hybrid propulsions • Focuses on electric vehicle machines and drives • Covers the major technologies in the area including fundamental concepts and applications • Emphasis the design criteria, performance analyses and application examples or potentials of various motor drives and machine systems • Accompanying website includes the simulation models and outcomes as supplementary material

Operation, Construction, and Functionality of Direct Current Machines

Author : Amin, Muhammad,Rehmani, Mubashir Husain
Publisher : IGI Global
Page : 404 pages
File Size : 40,7 Mb
Release : 2015-04-30
Category : Technology & Engineering
ISBN : 9781466684423

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Operation, Construction, and Functionality of Direct Current Machines by Amin, Muhammad,Rehmani, Mubashir Husain Pdf

Direct current machines are a quickly evolving domain whose applications affect many aspects of modern life from computers and printers to toys, electric vehicles, and traction applications. As their many uses continue to grow, it has become apparent that understanding these machines is the key to understanding our future. Operation, Construction, and Functionality of Direct Current Machines brings together many concepts, from the most basic working principles and construction of DC machines to more advanced topics such as electro-magnetism, armature reaction, parallel operations, and many more. Highlighting theoretical concepts and numerical problems, this book is an essential reference source for students, educators, and anyone interested in the field of electric machines.

Artificial Intelligence And Machine Learning

Author : P. Kalyani
Publisher : Academic Guru Publishing House
Page : 221 pages
File Size : 53,8 Mb
Release : 2023-11-03
Category : Study Aids
ISBN : 9788119832101

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Artificial Intelligence And Machine Learning by P. Kalyani Pdf

“Artificial Intelligence and Machine Learning: Navigating the Future” is a thorough look at how two of the most important tools of our time are changing the world. This book, written by experts in the field, goes beyond the complicated topics of AI and ML to give readers a clear and easy-to-understand path to understand the difficulties, uses, and moral concerns of these cutting-edge technologies. The first part of the book gives an overview of how AI and ML have changed over time, focusing on the theoretical foundations that have turned them from vague ideas to important parts of our digital world. From early algorithms to modern deep learning systems, readers learn about the processes that make smart decisions and solve problems. The book goes beyond academic ideas and looks at how AI and ML are being used in the real world to show how they are changing businesses and our everyday lives. These pages give you useful information about the technologies that will shape our future, whether they are improving healthcare monitoring, making business operations run more smoothly, or changing the way we use technology. When AI is being developed, ethical concerns are very important. This shows how responsible creation is. In this book, the effects of AI and ML on society are looked at, including problems of fairness, openness, and responsibility. People who read this are urged to think about the moral aspects of technology. This helps people value both technical progress and its moral effects.

Resource Management for Big Data Platforms

Author : Florin Pop,Joanna Kołodziej,Beniamino Di Martino
Publisher : Springer
Page : 516 pages
File Size : 49,8 Mb
Release : 2016-10-27
Category : Computers
ISBN : 9783319448817

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Resource Management for Big Data Platforms by Florin Pop,Joanna Kołodziej,Beniamino Di Martino Pdf

Serving as a flagship driver towards advance research in the area of Big Data platforms and applications, this book provides a platform for the dissemination of advanced topics of theory, research efforts and analysis, and implementation oriented on methods, techniques and performance evaluation. In 23 chapters, several important formulations of the architecture design, optimization techniques, advanced analytics methods, biological, medical and social media applications are presented. These chapters discuss the research of members from the ICT COST Action IC1406 High-Performance Modelling and Simulation for Big Data Applications (cHiPSet). This volume is ideal as a reference for students, researchers and industry practitioners working in or interested in joining interdisciplinary works in the areas of intelligent decision systems using emergent distributed computing paradigms. It will also allow newcomers to grasp the key concerns and their potential solutions.

Forgetting Machines: Knowledge Management Evolution in Early Modern Europe

Author : Alberto Cevolini
Publisher : BRILL
Page : 401 pages
File Size : 43,5 Mb
Release : 2016-10-11
Category : Philosophy
ISBN : 9789004325258

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Forgetting Machines: Knowledge Management Evolution in Early Modern Europe by Alberto Cevolini Pdf

Forgetting Machines. Knowledge Management Evolution in Early Modern Europe investigates the evolution of scholarly practices and the transformation of cognitive habits in the early modern age, focussing on the development of note-taking systems and data storage devices.