Quantum Computing For Computer Architects Second Edition

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Quantum Computing for Computer Architects, Second Edition

Author : Tzvetan Metodi
Publisher : Springer Nature
ISBN 13 : 3031017315
Total Pages : 192 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Quantum Computing for Computer Architects, Second Edition by : Tzvetan Metodi

Download or read book Quantum Computing for Computer Architects, Second Edition written by Tzvetan Metodi and published by Springer Nature. This book was released on 2022-06-01 with total page 192 pages. Available in PDF, EPUB and Kindle. Book excerpt: Quantum computers can (in theory) solve certain problems far faster than a classical computer running any known classical algorithm. While existing technologies for building quantum computers are in their infancy, it is not too early to consider their scalability and reliability in the context of the design of large-scale quantum computers. To architect such systems, one must understand what it takes to design and model a balanced, fault-tolerant quantum computer architecture. The goal of this lecture is to provide architectural abstractions for the design of a quantum computer and to explore the systems-level challenges in achieving scalable, fault-tolerant quantum computation. In this lecture, we provide an engineering-oriented introduction to quantum computation with an overview of the theory behind key quantum algorithms. Next, we look at architectural case studies based upon experimental data and future projections for quantum computation implemented using trapped ions. While we focus here on architectures targeted for realization using trapped ions, the techniques for quantum computer architecture design, quantum fault-tolerance, and compilation described in this lecture are applicable to many other physical technologies that may be viable candidates for building a large-scale quantum computing system. We also discuss general issues involved with programming a quantum computer as well as a discussion of work on quantum architectures based on quantum teleportation. Finally, we consider some of the open issues remaining in the design of quantum computers. Table of Contents: Introduction / Basic Elements for Quantum Computation / Key Quantum Algorithms / Building Reliable and Scalable Quantum Architectures / Simulation of Quantum Computation / Architectural Elements / Case Study: The Quantum Logic Array Architecture / Programming the Quantum Architecture / Using the QLA for Quantum Simulation: The Transverse Ising Model / Teleportation-Based Quantum Architectures / Concluding Remarks

Quantum Computing for Computer Architects

Author : Tzvetan S. Metodi
Publisher : Morgan & Claypool Publishers
ISBN 13 : 1608456196
Total Pages : 203 pages
Book Rating : 4.6/5 (84 download)

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Book Synopsis Quantum Computing for Computer Architects by : Tzvetan S. Metodi

Download or read book Quantum Computing for Computer Architects written by Tzvetan S. Metodi and published by Morgan & Claypool Publishers. This book was released on 2011 with total page 203 pages. Available in PDF, EPUB and Kindle. Book excerpt: Quantum computation may seem to be a topic for science fiction, but small quantum computers have existed for several years and larger machines are on the drawing table. These efforts have been fueled by a tantalizing property: while conventional computers employ a binary representation that allows computational power to scale linearly with resources at best, quantum computations employ quantum phenomena that can interact to allow computational power that is exponential in the number of quantum bits in the system. Quantum devices rely on the ability to control and manipulate binary data stored in the phase information of quantum wave functions that describe the electronic states of individual atoms or the polarization states of photons. While existing quantum technologies are in their infancy, we shall see that it is not too early to consider scalability and reliability. In fact, such considerations are a critical link in the development chain of viable device technologies capable of orchestrating reliable control of tens of millions quantum bits in a large-scale system. The goal of this lecture is to provide architectural abstractions common to potential technologies and explore the systems-level challenges in achieving scalable, fault-tolerant quantum computation.

Quantum Computing for Computer Architects

Author : Tzvetan S. Metodi
Publisher : Springer Nature
ISBN 13 : 3031017188
Total Pages : 147 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Quantum Computing for Computer Architects by : Tzvetan S. Metodi

Download or read book Quantum Computing for Computer Architects written by Tzvetan S. Metodi and published by Springer Nature. This book was released on 2007-12-31 with total page 147 pages. Available in PDF, EPUB and Kindle. Book excerpt: Quantum computation may seem to be a topic for science fiction, but small quantum computers have existed for several years and larger machines are on the drawing table. These efforts have been fueled by a tantalizing property: while conventional computers employ a binary representation that allows computational power to scale linearly with resources at best, quantum computations employ quantum phenomena that can interact to allow computational power that is exponential in the number of "quantum bits" in the system. Quantum devices rely on the ability to control and manipulate binary data stored in the phase information of quantum wave functions that describe the electronic states of individual atoms or the polarization states of photons. While existing quantum technologies are in their infancy, we shall see that it is not too early to consider scalability and reliability. In fact, such considerations are a critical link in the development chain of viable device technologies capable of orchestrating reliable control of tens of millions quantum bits in a large-scale system. The goal of this lecture is to provide architectural abstractions common to potential technologies and explore the systemslevel challenges in achieving scalable, fault-tolerant quantum computation. The central premise of the lecture is directed at quantum computation (QC) architectural issues. We stress the fact that the basic tenet of large-scale quantum computing is reliability through system balance: the need to protect and control the quantum information just long enough for the algorithm to complete execution. To architectQCsystems, onemust understand what it takes to design and model a balanced, fault-tolerant quantum architecture just as the concept of balance drives conventional architectural design. For example, the register file depth in classical computers is matched to the number of functional units, the memory bandwidth to the cache miss rate, or the interconnect bandwidth matched to the compute power of each element of a multiprocessor. We provide an engineering-oriented introduction to quantum computation and provide an architectural case study based upon experimental data and future projection for ion-trap technology.We apply the concept of balance to the design of a quantum computer, creating an architecture model that balances both quantum and classical resources in terms of exploitable parallelism in quantum applications. From this framework, we also discuss the many open issues remaining in designing systems to perform quantum computation.

Synthesis Lectures on Computer Architecture : Quantum Computing for Computer Architects (2nd Edition)

Author : Tzvetan S. Metodi
Publisher :
ISBN 13 : 9781608456192
Total Pages : pages
Book Rating : 4.4/5 (561 download)

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Book Synopsis Synthesis Lectures on Computer Architecture : Quantum Computing for Computer Architects (2nd Edition) by : Tzvetan S. Metodi

Download or read book Synthesis Lectures on Computer Architecture : Quantum Computing for Computer Architects (2nd Edition) written by Tzvetan S. Metodi and published by . This book was released on with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Quantum Computer Architecture

Author : Umar Farooq
Publisher : GRIN Verlag
ISBN 13 : 3656826528
Total Pages : 11 pages
Book Rating : 4.6/5 (568 download)

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Book Synopsis Quantum Computer Architecture by : Umar Farooq

Download or read book Quantum Computer Architecture written by Umar Farooq and published by GRIN Verlag. This book was released on 2014-10-29 with total page 11 pages. Available in PDF, EPUB and Kindle. Book excerpt: Seminar paper from the year 2014 in the subject Computer Science - Applied, grade: A, , course: Advance Computer Architecture, language: English, abstract: Quantum Computers are evolving for more than a decade and they are closer to reality. The field of quantum computing is too big to be described in one paper, but the real motivation for the quantum computers is its architecture. Firstly it is believed that classical computers can’t use the quantum algorithms and operations secondly the programs running on the quantum computers can’t run on traditional computer which is due to architecture and system. The quantum computer architecture is the key to build a quantum computer. The quantum computers are more complex than traditional computers. This research paper will discuss the quantum computer architecture.

Quantum Computer Systems: Research for Noisy Intermediate-Scale Quantum Computers

Author : Yongshan Ding
Publisher : Morgan & Claypool Publishers
ISBN 13 : 1681738678
Total Pages : 229 pages
Book Rating : 4.6/5 (817 download)

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Book Synopsis Quantum Computer Systems: Research for Noisy Intermediate-Scale Quantum Computers by : Yongshan Ding

Download or read book Quantum Computer Systems: Research for Noisy Intermediate-Scale Quantum Computers written by Yongshan Ding and published by Morgan & Claypool Publishers. This book was released on 2020-06-17 with total page 229 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book targets computer scientists and engineers who are familiar with concepts in classical computer systems but are curious to learn the general architecture of quantum computing systems. It gives a concise presentation of this new paradigm of computing from a computer systems' point of view without assuming any background in quantum mechanics. As such, it is divided into two parts. The first part of the book provides a gentle overview on the fundamental principles of the quantum theory and their implications for computing. The second part is devoted to state-of-the-art research in designing practical quantum programs, building a scalable software systems stack, and controlling quantum hardware components. Most chapters end with a summary and an outlook for future directions. This book celebrates the remarkable progress that scientists across disciplines have made in the past decades and reveals what roles computer scientists and engineers can play to enable practical-scale quantum computing.

Quantum computing for computer architects

Author : Tzvetan Metodi
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (31 download)

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Book Synopsis Quantum computing for computer architects by : Tzvetan Metodi

Download or read book Quantum computing for computer architects written by Tzvetan Metodi and published by . This book was released on 2006 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Explorations in Quantum Computing

Author : Colin P. Williams
Publisher : Springer Science & Business Media
ISBN 13 : 1846288878
Total Pages : 724 pages
Book Rating : 4.8/5 (462 download)

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Book Synopsis Explorations in Quantum Computing by : Colin P. Williams

Download or read book Explorations in Quantum Computing written by Colin P. Williams and published by Springer Science & Business Media. This book was released on 2010-12-07 with total page 724 pages. Available in PDF, EPUB and Kindle. Book excerpt: By the year 2020, the basic memory components of a computer will be the size of individual atoms. At such scales, the current theory of computation will become invalid. "Quantum computing" is reinventing the foundations of computer science and information theory in a way that is consistent with quantum physics - the most accurate model of reality currently known. Remarkably, this theory predicts that quantum computers can perform certain tasks breathtakingly faster than classical computers – and, better yet, can accomplish mind-boggling feats such as teleporting information, breaking supposedly "unbreakable" codes, generating true random numbers, and communicating with messages that betray the presence of eavesdropping. This widely anticipated second edition of Explorations in Quantum Computing explains these burgeoning developments in simple terms, and describes the key technological hurdles that must be overcome to make quantum computers a reality. This easy-to-read, time-tested, and comprehensive textbook provides a fresh perspective on the capabilities of quantum computers, and supplies readers with the tools necessary to make their own foray into this exciting field. Topics and features: concludes each chapter with exercises and a summary of the material covered; provides an introduction to the basic mathematical formalism of quantum computing, and the quantum effects that can be harnessed for non-classical computation; discusses the concepts of quantum gates, entangling power, quantum circuits, quantum Fourier, wavelet, and cosine transforms, and quantum universality, computability, and complexity; examines the potential applications of quantum computers in areas such as search, code-breaking, solving NP-Complete problems, quantum simulation, quantum chemistry, and mathematics; investigates the uses of quantum information, including quantum teleportation, superdense coding, quantum data compression, quantum cloning, quantum negation, and quantum cryptography; reviews the advancements made towards practical quantum computers, covering developments in quantum error correction and avoidance, and alternative models of quantum computation. This text/reference is ideal for anyone wishing to learn more about this incredible, perhaps "ultimate," computer revolution. Dr. Colin P. Williams is Program Manager for Advanced Computing Paradigms at the NASA Jet Propulsion Laboratory, California Institute of Technology, and CEO of Xtreme Energetics, Inc. an advanced solar energy company. Dr. Williams has taught quantum computing and quantum information theory as an acting Associate Professor of Computer Science at Stanford University. He has spent over a decade inspiring and leading high technology teams and building business relationships with and Silicon Valley companies. Today his interests include terrestrial and Space-based power generation, quantum computing, cognitive computing, computational material design, visualization, artificial intelligence, evolutionary computing, and remote olfaction. He was formerly a Research Scientist at Xerox PARC and a Research Assistant to Prof. Stephen W. Hawking, Cambridge University.

Quantum Computer Science

Author : Marco Lanzagorta
Publisher : Morgan & Claypool Publishers
ISBN 13 : 1598297325
Total Pages : 125 pages
Book Rating : 4.5/5 (982 download)

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Book Synopsis Quantum Computer Science by : Marco Lanzagorta

Download or read book Quantum Computer Science written by Marco Lanzagorta and published by Morgan & Claypool Publishers. This book was released on 2009 with total page 125 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this text we present a technical overview of the emerging field of quantum computation along with new research results by the authors. What distinguishes our presentation from that of others is our focus on the relationship between quantum computation and computer science. Specifically, our emphasis is on the computational model of quantum computing rather than on the engineering issues associated with its physical implementation. We adopt this approach for the same reason that a book on computer programming doesn't cover the theory and physical realization of semiconductors. Another distinguishing feature of this text is our detailed discussion of the circuit complexity of quantum algorithms. To the extent possible we have presented the material in a form that is accessible to the computer scientist, but in many cases we retain the conventional physics notation so that the reader will also be able to consult the relevant quantum computing literature. Although we expect the reader to have a solid understanding of linear algebra, we do not assume a background in physics. This text is based on lectures given as short courses and invited presentations around the world, and it has been used as the primary text for a graduate course at George Mason University. In all these cases our challenge has been the same: how to present to a general audience a concise introduction to the algorithmic structure and applications of quantum computing on an extremely short period of time. The feedback from these courses and presentations has greatly aided in making our exposition of challenging concepts more accessible to a general audience. Table of Contents: Introduction / The Algorithmic Structure of Quantum Computing / Advantages and Limitations of Quantum Computing / Amplitude Amplification / Case Study: Computational Geometry / The Quantum Fourier Transform / Case Study: The Hidden Subgroup / Circuit Complexity Analysis of Quantum Algorithms / Conclusions / Bibliography

AI for Computer Architecture

Author : Lizhong Chen
Publisher : Springer Nature
ISBN 13 : 3031017706
Total Pages : 124 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis AI for Computer Architecture by : Lizhong Chen

Download or read book AI for Computer Architecture written by Lizhong Chen and published by Springer Nature. This book was released on 2022-05-31 with total page 124 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial intelligence has already enabled pivotal advances in diverse fields, yet its impact on computer architecture has only just begun. In particular, recent work has explored broader application to the design, optimization, and simulation of computer architecture. Notably, machine-learning-based strategies often surpass prior state-of-the-art analytical, heuristic, and human-expert approaches. This book reviews the application of machine learning in system-wide simulation and run-time optimization, and in many individual components such as caches/memories, branch predictors, networks-on-chip, and GPUs. The book further analyzes current practice to highlight useful design strategies and identify areas for future work, based on optimized implementation strategies, opportune extensions to existing work, and ambitious long term possibilities. Taken together, these strategies and techniques present a promising future for increasingly automated computer architecture designs.

Deep Learning for Computer Architects

Author : Brandon Reagen
Publisher : Springer Nature
ISBN 13 : 3031017560
Total Pages : 109 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Deep Learning for Computer Architects by : Brandon Reagen

Download or read book Deep Learning for Computer Architects written by Brandon Reagen and published by Springer Nature. This book was released on 2022-05-31 with total page 109 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine learning, and specifically deep learning, has been hugely disruptive in many fields of computer science. The success of deep learning techniques in solving notoriously difficult classification and regression problems has resulted in their rapid adoption in solving real-world problems. The emergence of deep learning is widely attributed to a virtuous cycle whereby fundamental advancements in training deeper models were enabled by the availability of massive datasets and high-performance computer hardware. This text serves as a primer for computer architects in a new and rapidly evolving field. We review how machine learning has evolved since its inception in the 1960s and track the key developments leading up to the emergence of the powerful deep learning techniques that emerged in the last decade. Next we review representative workloads, including the most commonly used datasets and seminal networks across a variety of domains. In addition to discussing the workloads themselves, we also detail the most popular deep learning tools and show how aspiring practitioners can use the tools with the workloads to characterize and optimize DNNs. The remainder of the book is dedicated to the design and optimization of hardware and architectures for machine learning. As high-performance hardware was so instrumental in the success of machine learning becoming a practical solution, this chapter recounts a variety of optimizations proposed recently to further improve future designs. Finally, we present a review of recent research published in the area as well as a taxonomy to help readers understand how various contributions fall in context.

Quantum Computing for Computer Scientists

Author : Noson S. Yanofsky
Publisher : Cambridge University Press
ISBN 13 : 1139643908
Total Pages : 351 pages
Book Rating : 4.1/5 (396 download)

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Book Synopsis Quantum Computing for Computer Scientists by : Noson S. Yanofsky

Download or read book Quantum Computing for Computer Scientists written by Noson S. Yanofsky and published by Cambridge University Press. This book was released on 2008-08-11 with total page 351 pages. Available in PDF, EPUB and Kindle. Book excerpt: The multidisciplinary field of quantum computing strives to exploit some of the uncanny aspects of quantum mechanics to expand our computational horizons. Quantum Computing for Computer Scientists takes readers on a tour of this fascinating area of cutting-edge research. Written in an accessible yet rigorous fashion, this book employs ideas and techniques familiar to every student of computer science. The reader is not expected to have any advanced mathematics or physics background. After presenting the necessary prerequisites, the material is organized to look at different aspects of quantum computing from the specific standpoint of computer science. There are chapters on computer architecture, algorithms, programming languages, theoretical computer science, cryptography, information theory, and hardware. The text has step-by-step examples, more than two hundred exercises with solutions, and programming drills that bring the ideas of quantum computing alive for today's computer science students and researchers.

Security Basics for Computer Architects

Author : Ruby B. Lee
Publisher : Springer Nature
ISBN 13 : 3031017420
Total Pages : 96 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Security Basics for Computer Architects by : Ruby B. Lee

Download or read book Security Basics for Computer Architects written by Ruby B. Lee and published by Springer Nature. This book was released on 2022-05-31 with total page 96 pages. Available in PDF, EPUB and Kindle. Book excerpt: Design for security is an essential aspect of the design of future computers. However, security is not well understood by the computer architecture community. Many important security aspects have evolved over the last several decades in the cryptography, operating systems, and networking communities. This book attempts to introduce the computer architecture student, researcher, or practitioner to the basic concepts of security and threat-based design. Past work in different security communities can inform our thinking and provide a rich set of technologies for building architectural support for security into all future computers and embedded computing devices and appliances. I have tried to keep the book short, which means that many interesting topics and applications could not be included. What the book focuses on are the fundamental security concepts, across different security communities, that should be understood by any computer architect trying to design or evaluate security-aware computer architectures.

Optimization and Mathematical Modeling in Computer Architecture

Author : Karu Sankaralingam
Publisher : Springer Nature
ISBN 13 : 3031017730
Total Pages : 144 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Optimization and Mathematical Modeling in Computer Architecture by : Karu Sankaralingam

Download or read book Optimization and Mathematical Modeling in Computer Architecture written by Karu Sankaralingam and published by Springer Nature. This book was released on 2022-05-31 with total page 144 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this book we give an overview of modeling techniques used to describe computer systems to mathematical optimization tools. We give a brief introduction to various classes of mathematical optimization frameworks with special focus on mixed integer linear programming which provides a good balance between solver time and expressiveness. We present four detailed case studies -- instruction set customization, data center resource management, spatial architecture scheduling, and resource allocation in tiled architectures -- showing how MILP can be used and quantifying by how much it outperforms traditional design exploration techniques. This book should help a skilled systems designer to learn techniques for using MILP in their problems, and the skilled optimization expert to understand the types of computer systems problems that MILP can be applied to.

Introduction to Quantum Algorithms via Linear Algebra, second edition

Author : Richard J. Lipton
Publisher : MIT Press
ISBN 13 : 0262045257
Total Pages : 281 pages
Book Rating : 4.2/5 (62 download)

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Book Synopsis Introduction to Quantum Algorithms via Linear Algebra, second edition by : Richard J. Lipton

Download or read book Introduction to Quantum Algorithms via Linear Algebra, second edition written by Richard J. Lipton and published by MIT Press. This book was released on 2021-04-06 with total page 281 pages. Available in PDF, EPUB and Kindle. Book excerpt: Quantum computing explained in terms of elementary linear algebra, emphasizing computation and algorithms and requiring no background in physics. This introduction to quantum algorithms is concise but comprehensive, covering many key algorithms. It is mathematically rigorous but requires minimal background and assumes no knowledge of quantum theory or quantum mechanics. The book explains quantum computation in terms of elementary linear algebra; it assumes the reader will have some familiarity with vectors, matrices, and their basic properties, but offers a review of the relevant material from linear algebra. By emphasizing computation and algorithms rather than physics, it makes quantum algorithms accessible to students and researchers in computer science who have not taken courses in quantum physics or delved into fine details of quantum effects, apparatus, circuits, or theory.

Robotic Computing on FPGAs

Author : Shaoshan Liu
Publisher : Springer Nature
ISBN 13 : 3031017714
Total Pages : 202 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Robotic Computing on FPGAs by : Shaoshan Liu

Download or read book Robotic Computing on FPGAs written by Shaoshan Liu and published by Springer Nature. This book was released on 2022-05-31 with total page 202 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a thorough overview of the state-of-the-art field-programmable gate array (FPGA)-based robotic computing accelerator designs and summarizes their adopted optimized techniques. This book consists of ten chapters, delving into the details of how FPGAs have been utilized in robotic perception, localization, planning, and multi-robot collaboration tasks. In addition to individual robotic tasks, this book provides detailed descriptions of how FPGAs have been used in robotic products, including commercial autonomous vehicles and space exploration robots.

Customizable Computing

Author : Yu-Ting Chen
Publisher : Springer Nature
ISBN 13 : 303101748X
Total Pages : 106 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Customizable Computing by : Yu-Ting Chen

Download or read book Customizable Computing written by Yu-Ting Chen and published by Springer Nature. This book was released on 2022-05-31 with total page 106 pages. Available in PDF, EPUB and Kindle. Book excerpt: Since the end of Dennard scaling in the early 2000s, improving the energy efficiency of computation has been the main concern of the research community and industry. The large energy efficiency gap between general-purpose processors and application-specific integrated circuits (ASICs) motivates the exploration of customizable architectures, where one can adapt the architecture to the workload. In this Synthesis lecture, we present an overview and introduction of the recent developments on energy-efficient customizable architectures, including customizable cores and accelerators, on-chip memory customization, and interconnect optimization. In addition to a discussion of the general techniques and classification of different approaches used in each area, we also highlight and illustrate some of the most successful design examples in each category and discuss their impact on performance and energy efficiency. We hope that this work captures the state-of-the-art research and development on customizable architectures and serves as a useful reference basis for further research, design, and implementation for large-scale deployment in future computing systems.