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A haunting story of guilt and blame in the wake of a drowning, the first novel by the author of Spectacle Susan Steinberg’s first novel, Machine, is a dazzling and innovative leap forward for a writer whose most recent book, Spectacle, gained her a rapturous following. Machine revolves around a group of teenagers—both locals and wealthy out-of-towners—during a single summer at the shore. Steinberg captures the pressures and demands of this world in a voice that effortlessly slides from collective to singular, as one girl recounts a night on which another girl drowned. Hoping to assuage her guilt and evade a similar fate, she pieces together the details of this tragedy, as well as the breakdown of her own family, and learns that no one, not even she, is blameless. A daring stylist, Steinberg contrasts semicolon-studded sentences with short lines that race down the page. This restless approach gains focus and power through a sharply drawn narrative that ferociously interrogates gender, class, privilege, and the disintegration of identity in the shadow of trauma. Machine is the kind of novel—relentless and bold—that only Susan Steinberg could have written.
Uncovers the ways in which the spectator's memory informs theatrical reception
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.
Develop, deploy, and scale your applications with Google Cloud Platform Key Features Create and deploy your applications on Google Cloud Platform Store and manage source code and debug Cloud-hosted apps with plugins and IDEs Streamline developer workflows with tools for alerting and managing deployments Book Description Google Cloud Platform (GCP) provides autoscaling compute power and distributed in-memory cache, task queues, and datastores to write, build, and deploy Cloud-hosted applications. With Google Cloud Platform for Developers, you will be able to develop and deploy scalable applications from scratch and make them globally available in almost any language. This book will guide you in designing, deploying, and managing applications running on Google Cloud. You’ll start with App Engine and move on to work with Container Engine, compute engine, and cloud functions. You’ll learn how to integrate your new applications with the various data solutions on GCP, including Cloud SQL, Bigtable, and Cloud Storage. This book will teach you how to streamline your workflow with tools such as Source Repositories, Container Builder, and StackDriver. Along the way, you’ll see how to deploy and debug services with IntelliJ, implement continuous delivery pipelines, and configure robust monitoring and alerting for your production systems. By the end of this book, you’ll be well-versed with all the development tools of Google Cloud Platform, and you’ll develop, deploy, and manage highly scalable and reliable applications. What you will learn Understand the various service offerings on GCP Deploy and run services on managed platforms such as App Engine and Container Engine Securely maintain application states with Cloud Storage, Datastore, and Bigtable Leverage StackDriver monitoring and debugging to minimize downtime and mitigate issues without impacting users Design and implement complex software solutions utilizing Google Cloud Integrate with best-in-class big data solutions such as Bigquery, Dataflow, and Pub/Sub Who this book is for Google Cloud Platform for Developers is for application developers. This book will enable you to fully leverage the power of Google Cloud Platform to build resilient and intelligent software solutions.
The subject of the following study is theories of memory. The first part is a study of one broad type of theory which is very widely adhered to at this time. It enjoys great popularity among neuro physiologists, neuropsychologists, and, more generally, among scientifically oriented people who have directed their attention to questions about memory. Further, this way of looking at the matter is not confined to scientific professionals. Indeed, we can find popularized versions of the view in magazines like Time and Reader's Digest. So in the first part of the book, I will give a presentation of the view in its general form. The theory will be presented in such a way as to reveal the features which make it tempting, which make it seem to be a very natural way to explain the phenomena of memory. (And, clearly, from the number of adherents the view has won, it is tempting, and it does seem to be to go about explaining memory. ) After setting forth a natural way this generalized version of the theory, I will next present material by various authors who hold this view. This will allow the reader to get some idea of the different forms which the theory (the 'memory trace' or 'engram' theory) takes. The last step is a critic ism of the theory. In the second part of the book, the attack on trace theory will be strengthened by a further criticism.
This book describes the recent innovation of deep in-memory architectures for realizing AI systems that operate at the edge of energy-latency-accuracy trade-offs. From first principles to lab prototypes, this book provides a comprehensive view of this emerging topic for both the practicing engineer in industry and the researcher in academia. The book is a journey into the exciting world of AI systems in hardware.
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.
The Second Edition of The Cache Memory Book introduces systems designers to the concepts behind cache design. The book teaches the basic cache concepts and more exotic techniques. It leads readers through someof the most intricate protocols used in complex multiprocessor caches. Written in an accessible, informal style, this text demystifies cache memory design by translating cache concepts and jargon into practical methodologies and real-life examples. It also provides adequate detail to serve as a reference book for ongoing work in cache memory design. The Second Edition includes an updated and expanded glossary of cache memory terms and buzzwords. The book provides new real world applications of cache memory design and a new chapter on cache"tricks". Illustrates detailed example designs of caches Provides numerous examples in the form of block diagrams, timing waveforms, state tables, and code traces Defines and discusses more than 240 cache specific buzzwords, comparing in detail the relative merits of different design methodologies Includes an extensive glossary, complete with clear definitions, synonyms, and references to the appropriate text discussions