High Performance JavaScript

An in-depth overview of an emerging field that brings together high-performance computing, big data processing, and deep lLearning. Over the last decade, the exponential explosion of data known as big data has changed the way we understand and harness the power of data. The emerging field of high-performance big data computing, which brings together high-performance computing (HPC), big data processing, and deep learning, aims to meet the challenges posed by large-scale data processing. This book offers an in-depth overview of high-performance big data computing and the associated technical issues, approaches, and solutions. The book covers basic concepts and necessary background knowledge, including data processing frameworks, storage systems, and hardware capabilities; offers a detailed discussion of technical issues in accelerating big data computing in terms of computation, communication, memory and storage, codesign, workload characterization and benchmarking, and system deplo

The electric vehicle revival reflects negotiations between public policy, which promotes clean, fuel-efficient vehicles, and the auto industry, which promotes high-performance vehicles.Electric cars were once as numerous as internal combustion engine cars before all but vanishing from American roads around World War I. Now, we are in the midst of an electric vehicle revival and the quest for a sustainable car seems to be within reach. In Age of Auto Electric, Matthew N. Eisler shows that the halting development of the electric car in the intervening decades was a consequence of tensions between environmental, energy, and economic policy imperatives that informed a protracted reappraisal of the automobile system. These factors drove the electric vehicle revival, argues Eisler, hastening automaking’s transformation into a science-based industry in the process. Challenging the common assumption that the electric vehicle revival is due to the development of better batteries, Age of Auto El

How people make decisions, size up situations, spot anomalies, and anticipate problems in real-world settings.Gary Klein, author of the bestselling Sources of Power, is the cognitive psychologist who discovered how people actually make decisions, particularly under time pressure and uncertainty. In Snapshots of the Mind, he offers a set of short essays―“snapshots” of different aspects of cognitive functioning in real-world settings that will help us learn to recognize the cognitive processes that underlie and drive performance. In these essays Klein provides practical tools for escaping fixation on initial hunches and learning to detect the ways that people make decisions, size up situations, spot anomalies, and anticipate problems. Snapshots of the Mind grows out of the Naturalistic Decision Making movement, which studies how decision makers handle uncertainty and complexity in high-stakes situations. In the essays, Klein examines how people make tough choices and assessments in the

How leaders can recast innovation’s toughest trade-offs―efficiency vs. flexibility, consistency vs. change, product vs purpose―as productive tensions.Why is leading innovation in today’s dynamic business environment so distressingly hit-or-miss? More than 90 percent of high-potential ventures don’t reach their projected targets. Surveys show that 80 percent of executives consider innovation crucial to their growth strategy, but only 6 percent are satisfied with their innovation performance. Should leaders aim for Steve-Jobs-level genius, or shower their projects with resources, or lean in to luck and embrace uncertainty? None of the above, say Chris Bingham and Rory McDonald. Drawing on cutting-edge research and probing interviews with hundreds of leaders across three continents, in Productive Tensions Bingham and McDonald find that the most effective leaders and successful innovators embrace the tensions that arise from competing aims: efficiency or flexibility? consistency or chan

A new version of the classic and widely used text adapted for the JavaScript programming language.Since the publication of its first edition in 1984 and its second edition in 1996, Structure and Interpretation of Computer Programs (SICP) has influenced computer science curricula around the world. Widely adopted as a textbook, the book has its origins in a popular entry-level computer science course taught by Harold Abelson and Gerald Jay Sussman at MIT. SICP introduces the reader to central ideas of computation by establishing a series of mental models for computation. Earlier editions used the programming language Scheme in their program examples. This new version of the second edition has been adapted for JavaScript. The first three chapters of SICP cover programming concepts that are common to all modern high-level programming languages. Chapters four and five, which used Scheme to formulate language processors for Scheme, required significant revision. Chapter four offers new mat