Computer Architecture for Scientists

Computer Architecture for Scientists

Author: Andrew A. Chien

Publisher: Cambridge University Press

Published: 2022-03-10

Total Pages: 266

ISBN-13: 1009008382

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The dramatic increase in computer performance has been extraordinary, but not for all computations: it has key limits and structure. Software architects, developers, and even data scientists need to understand how exploit the fundamental structure of computer performance to harness it for future applications. Ideal for upper level undergraduates, Computer Architecture for Scientists covers four key pillars of computer performance and imparts a high-level basis for reasoning with and understanding these concepts: Small is fast – how size scaling drives performance; Implicit parallelism – how a sequential program can be executed faster with parallelism; Dynamic locality – skirting physical limits, by arranging data in a smaller space; Parallelism – increasing performance with teams of workers. These principles and models provide approachable high-level insights and quantitative modelling without distracting low-level detail. Finally, the text covers the GPU and machine-learning accelerators that have become increasingly important for mainstream applications.


Affective Computing

Affective Computing

Author: Rosalind W. Picard

Publisher: MIT Press

Published: 2000-07-24

Total Pages: 308

ISBN-13: 9780262661157

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According to Rosalind Picard, if we want computers to be genuinely intelligent and to interact naturally with us, we must give computers the ability to recognize, understand, even to have and express emotions. The latest scientific findings indicate that emotions play an essential role in decision making, perception, learning, and more—that is, they influence the very mechanisms of rational thinking. Not only too much, but too little emotion can impair decision making. According to Rosalind Picard, if we want computers to be genuinely intelligent and to interact naturally with us, we must give computers the ability to recognize, understand, even to have and express emotions. Part 1 of this book provides the intellectual framework for affective computing. It includes background on human emotions, requirements for emotionally intelligent computers, applications of affective computing, and moral and social questions raised by the technology. Part 2 discusses the design and construction of affective computers. Although this material is more technical than that in Part 1, the author has kept it less technical than typical scientific publications in order to make it accessible to newcomers. Topics in Part 2 include signal-based representations of emotions, human affect recognition as a pattern recognition and learning problem, recent and ongoing efforts to build models of emotion for synthesizing emotions in computers, and the new application area of affective wearable computers.


A History of Modern Computing, second edition

A History of Modern Computing, second edition

Author: Paul E. Ceruzzi

Publisher: MIT Press

Published: 2003-04-08

Total Pages: 468

ISBN-13: 9780262532037

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From the first digital computer to the dot-com crash—a story of individuals, institutions, and the forces that led to a series of dramatic transformations. This engaging history covers modern computing from the development of the first electronic digital computer through the dot-com crash. The author concentrates on five key moments of transition: the transformation of the computer in the late 1940s from a specialized scientific instrument to a commercial product; the emergence of small systems in the late 1960s; the beginning of personal computing in the 1970s; the spread of networking after 1985; and, in a chapter written for this edition, the period 1995-2001. The new material focuses on the Microsoft antitrust suit, the rise and fall of the dot-coms, and the advent of open source software, particularly Linux. Within the chronological narrative, the book traces several overlapping threads: the evolution of the computer's internal design; the effect of economic trends and the Cold War; the long-term role of IBM as a player and as a target for upstart entrepreneurs; the growth of software from a hidden element to a major character in the story of computing; and the recurring issue of the place of information and computing in a democratic society. The focus is on the United States (though Europe and Japan enter the story at crucial points), on computing per se rather than on applications such as artificial intelligence, and on systems that were sold commercially and installed in quantities.


Quantum Computation and Quantum Information

Quantum Computation and Quantum Information

Author: Michael A. Nielsen

Publisher: Cambridge University Press

Published: 2010-12-09

Total Pages: 709

ISBN-13: 1139495488

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One of the most cited books in physics of all time, Quantum Computation and Quantum Information remains the best textbook in this exciting field of science. This 10th anniversary edition includes an introduction from the authors setting the work in context. This comprehensive textbook describes such remarkable effects as fast quantum algorithms, quantum teleportation, quantum cryptography and quantum error-correction. Quantum mechanics and computer science are introduced before moving on to describe what a quantum computer is, how it can be used to solve problems faster than 'classical' computers and its real-world implementation. It concludes with an in-depth treatment of quantum information. Containing a wealth of figures and exercises, this well-known textbook is ideal for courses on the subject, and will interest beginning graduate students and researchers in physics, computer science, mathematics, and electrical engineering.


Computing for Biologists

Computing for Biologists

Author: Ran Libeskind-Hadas

Publisher: Cambridge University Press

Published: 2014-09-22

Total Pages: 289

ISBN-13: 1316061337

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Computing is revolutionizing the practice of biology. This book, which assumes no prior computing experience, provides students with the tools to write their own Python programs and to understand fundamental concepts in computational biology and bioinformatics. Each major part of the book begins with a compelling biological question, followed by the algorithmic ideas and programming tools necessary to explore it: the origins of pathogenicity are examined using gene finding, the evolutionary history of sex determination systems is studied using sequence alignment, and the origin of modern humans is addressed using phylogenetic methods. In addition to providing general programming skills, this book explores the design of efficient algorithms, simulation, NP-hardness, and the maximum likelihood method, among other key concepts and methods. Easy-to-read and designed to equip students with the skills to write programs for solving a range of biological problems, the book is accompanied by numerous programming exercises, available at www.cs.hmc.edu/CFB.


Computer

Computer

Author: Martin Campbell-Kelly

Publisher: Taylor & Francis

Published: 2023-06-19

Total Pages: 375

ISBN-13: 1000878759

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This volume provides a history of the computer which now comes properly up to the ubiquitous age, with new chapters that look at globalization, platformitization and regulation, allowing readers to engage with the more recent takeover by computers in their historical perspective. With the growing ubiquity of computers, the subject is one of interest to many students and this will feature in history of science and technology courses, and world history courses as well as ones specifically on computing. Books on the history of computing tend to be quite technically or business focused, this covers the social and cultural history as well.


Multimedia Computing

Multimedia Computing

Author: Gerald Friedland

Publisher: Cambridge University Press

Published: 2014-07-28

Total Pages: 353

ISBN-13: 0521764513

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This innovative textbook presents an experiential, holistic approach to multimedia computing along with practical algorithms.


Topology for Computing

Topology for Computing

Author: Afra J. Zomorodian

Publisher: Cambridge University Press

Published: 2005-01-10

Total Pages: 264

ISBN-13: 9781139442633

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The emerging field of computational topology utilizes theory from topology and the power of computing to solve problems in diverse fields. Recent applications include computer graphics, computer-aided design (CAD), and structural biology, all of which involve understanding the intrinsic shape of some real or abstract space. A primary goal of this book is to present basic concepts from topology and Morse theory to enable a non-specialist to grasp and participate in current research in computational topology. The author gives a self-contained presentation of the mathematical concepts from a computer scientist's point of view, combining point set topology, algebraic topology, group theory, differential manifolds, and Morse theory. He also presents some recent advances in the area, including topological persistence and hierarchical Morse complexes. Throughout, the focus is on computational challenges and on presenting algorithms and data structures when appropriate.