Ascend AI Processor Architecture and Programming

Ascend AI Processor Architecture and Programming
Author: Xiaoyao Liang
Publsiher: Elsevier
Total Pages: 308
Release: 2020-09-11
ISBN 10: 0128234881
ISBN 13: 9780128234884
Language: EN, FR, DE, ES & NL

Ascend AI Processor Architecture and Programming Book Review:

Ascend AI Processor Architecture and Programming: Principles and Applications of CANN offers in-depth AI applications using Huawei's Ascend chip, presenting and analyzing the unique performance and attributes of this processor. The title introduces the fundamental theory of AI, the software and hardware architecture of the Ascend AI processor, related tools and programming technology, and typical application cases. It demonstrates internal software and hardware design principles, system tools and programming techniques for the processor, laying out the elements of AI programming technology needed by researchers developing AI applications. Chapters cover the theoretical fundamentals of AI and deep learning, the state of the industry, including the current state of Neural Network Processors, deep learning frameworks, and a deep learning compilation framework, the hardware architecture of the Ascend AI processor, programming methods and practices for developing the processor, and finally, detailed case studies on data and algorithms for AI. Presents the performance and attributes of the Huawei Ascend AI processor Describes the software and hardware architecture of the Ascend processor Lays out the elements of AI theory, processor architecture, and AI applications Provides detailed case studies on data and algorithms for AI Offers insights into processor architecture and programming to spark new AI applications

Ascend AI Processor Architecture and Programming

Ascend AI Processor Architecture and Programming
Author: Xiaoyao Liang
Publsiher: Elsevier
Total Pages: 308
Release: 2020-07-29
ISBN 10: 012823489X
ISBN 13: 9780128234891
Language: EN, FR, DE, ES & NL

Ascend AI Processor Architecture and Programming Book Review:

Ascend AI Processor Architecture and Programming: Principles and Applications of CANN offers in-depth AI applications using Huawei’s Ascend chip, presenting and analyzing the unique performance and attributes of this processor. The title introduces the fundamental theory of AI, the software and hardware architecture of the Ascend AI processor, related tools and programming technology, and typical application cases. It demonstrates internal software and hardware design principles, system tools and programming techniques for the processor, laying out the elements of AI programming technology needed by researchers developing AI applications. Chapters cover the theoretical fundamentals of AI and deep learning, the state of the industry, including the current state of Neural Network Processors, deep learning frameworks, and a deep learning compilation framework, the hardware architecture of the Ascend AI processor, programming methods and practices for developing the processor, and finally, detailed case studies on data and algorithms for AI. Presents the performance and attributes of the Huawei Ascend AI processor Describes the software and hardware architecture of the Ascend processor Lays out the elements of AI theory, processor architecture, and AI applications Provides detailed case studies on data and algorithms for AI Offers insights into processor architecture and programming to spark new AI applications

Deep Learning Systems

Deep Learning Systems
Author: Andres Rodriguez
Publsiher: Morgan & Claypool Publishers
Total Pages: 265
Release: 2020-10-26
ISBN 10: 1681739674
ISBN 13: 9781681739670
Language: EN, FR, DE, ES & NL

Deep Learning Systems Book Review:

This book describes deep learning systems: the algorithms, compilers, and processor components to efficiently train and deploy deep learning models for commercial applications. The exponential growth in computational power is slowing at a time when the amount of compute consumed by state-of-the-art deep learning (DL) workloads is rapidly growing. Model size, serving latency, and power constraints are a significant challenge in the deployment of DL models for many applications. Therefore, it is imperative to codesign algorithms, compilers, and hardware to accelerate advances in this field with holistic system-level and algorithm solutions that improve performance, power, and efficiency. Advancing DL systems generally involves three types of engineers: (1) data scientists that utilize and develop DL algorithms in partnership with domain experts, such as medical, economic, or climate scientists; (2) hardware designers that develop specialized hardware to accelerate the components in the DL models; and (3) performance and compiler engineers that optimize software to run more efficiently on a given hardware. Hardware engineers should be aware of the characteristics and components of production and academic models likely to be adopted by industry to guide design decisions impacting future hardware. Data scientists should be aware of deployment platform constraints when designing models. Performance engineers should support optimizations across diverse models, libraries, and hardware targets. The purpose of this book is to provide a solid understanding of (1) the design, training, and applications of DL algorithms in industry; (2) the compiler techniques to map deep learning code to hardware targets; and (3) the critical hardware features that accelerate DL systems. This book aims to facilitate co-innovation for the advancement of DL systems. It is written for engineers working in one or more of these areas who seek to understand the entire system stack in order to better collaborate with engineers working in other parts of the system stack. The book details advancements and adoption of DL models in industry, explains the training and deployment process, describes the essential hardware architectural features needed for today's and future models, and details advances in DL compilers to efficiently execute algorithms across various hardware targets. Unique in this book is the holistic exposition of the entire DL system stack, the emphasis on commercial applications, and the practical techniques to design models and accelerate their performance. The author is fortunate to work with hardware, software, data scientist, and research teams across many high-technology companies with hyperscale data centers. These companies employ many of the examples and methods provided throughout the book.

The Art of Multiprocessor Programming

The Art of Multiprocessor Programming
Author: Maurice Herlihy,Nir Shavit,Victor Luchangco,Michael Spear
Publsiher: Newnes
Total Pages: 576
Release: 2020-09-22
ISBN 10: 012391406X
ISBN 13: 9780123914064
Language: EN, FR, DE, ES & NL

The Art of Multiprocessor Programming Book Review:

The Art of Multiprocessor Programming, Second Edition, provides users with an authoritative guide to multicore programming. This updated edition introduces higher level software development skills relative to those needed for efficient single-core programming, and includes comprehensive coverage of the new principles, algorithms, and tools necessary for effective multiprocessor programming. The book is an ideal resource for students and professionals alike who will benefit from its thorough coverage of key multiprocessor programming issues. Features new exercises developed for instructors using the text, with more algorithms, new examples, and other updates throughout the book Presents the fundamentals of programming multiple threads for accessing shared memory Explores mainstream concurrent data structures and the key elements of their design, as well as synchronization techniques, from simple locks to transactional memory systems

The 8085 Microprocessor

The 8085 Microprocessor
Author: K. Udaya Kumar
Publsiher: Pearson Education India
Total Pages: 624
Release: 2008
ISBN 10: 9788177584554
ISBN 13: 8177584553
Language: EN, FR, DE, ES & NL

The 8085 Microprocessor Book Review:

Deep Learning and Practice with MindSpore

Deep Learning and Practice with MindSpore
Author: Lei Chen
Publsiher: Springer Nature
Total Pages: 394
Release: 2021-09-18
ISBN 10: 9811622337
ISBN 13: 9789811622335
Language: EN, FR, DE, ES & NL

Deep Learning and Practice with MindSpore Book Review:

This book systematically introduces readers to the theory of deep learning and explores its practical applications based on the MindSpore AI computing framework. Divided into 14 chapters, the book covers deep learning, deep neural networks (DNNs), convolutional neural networks (CNNs), recurrent neural networks (RNNs), unsupervised learning, deep reinforcement learning, automated machine learning, device-cloud collaboration, deep learning visualization, and data preparation for deep learning. To help clarify the complex topics discussed, this book includes numerous examples and links to online resources.

Blockchain

Blockchain
Author: Harvard Business Review,Don Tapscott,Marco Iansiti,Karim R. Lakhani
Publsiher: Harvard Business Press
Total Pages: 160
Release: 2019-08-27
ISBN 10: 1633697924
ISBN 13: 9781633697928
Language: EN, FR, DE, ES & NL

Blockchain Book Review:

Can blockchain solve your biggest business problem? While the world is transfixed by bitcoin mania, your competitors are tuning out the noise and making strategic bets on blockchain. Your rivals are effortlessly tracking every last link in their supply chains. They're making bureaucratic paper trails obsolete while keeping their customers' data safer and discovering new ways to use this next foundational technology to sustain their competitive advantage. What should you be doing with blockchain now to ensure that your business is poised for success? "Blockchain: The Insights You Need from Harvard Business Review" brings you today's most essential thinking on blockchain, explains how to get the right initiatives started at your company, and prepares you to seize the opportunity of the coming blockchain wave. Business is changing. Will you adapt or be left behind? Get up to speed and deepen your understanding of the topics that are shaping your company's future with the Insights You Need from Harvard Business Review series. Featuring HBR's smartest thinking on fast-moving issues--blockchain, cybersecurity, AI, and more--each book provides the foundational introduction and practical case studies your organization needs to compete today and collects the best research, interviews, and analysis to get it ready for tomorrow. You can't afford to ignore how these issues will transform the landscape of business and society. The Insights You Need series will help you grasp these critical ideas--and prepare you and your company for the future.

Cyberfeminism and Artificial Life

Cyberfeminism and Artificial Life
Author: Sarah Kember,Professor of New Technologies of Communication Sarah Kember
Publsiher: Psychology Press
Total Pages: 257
Release: 2003
ISBN 10: 9780415240277
ISBN 13: 0415240271
Language: EN, FR, DE, ES & NL

Cyberfeminism and Artificial Life Book Review:

Examining the construction, manipulation and re-definition of life in contemporary technoscientific culture, this book aims to re-focus concern on the ethics rather than on the 'nature' of artificial life.

Inside the Message Passing Interface

Inside the Message Passing Interface
Author: Alexander Supalov
Publsiher: De-G Press
Total Pages: 384
Release: 2018-09-24
ISBN 10: 1501506870
ISBN 13: 9781501506871
Language: EN, FR, DE, ES & NL

Inside the Message Passing Interface Book Review:

A hands-on guide to writing a Message Passing Interface, this book takes the reader on a tour across major MPI implementations, best optimization techniques, application relevant usage hints, and a historical retrospective of the MPI world, all based on a quarter of a century spent inside MPI. Readers will learn to write MPI implementations from scratch, and to design and optimize communication mechanisms using pragmatic subsetting as the guiding principle. Inside the Message Passing Interface also covers MPI quirks and tricks to achieve best performance. Dr. Alexander Supalov created the Intel Cluster Tools product line, including the Intel MP Library that he designed and led between 2003 and 2015. He invented the common MPICH ABI and also guided Intel efforts in the MPI Forum during the development of the MPI-2.1, MPI-2.2, and MPI-3 standards. Before that, Alexander designed new finite-element mesh-generation methods, contributing to the PARMACS and PARASOL interfaces, and developed the first full MPI-2 and IMPI implementations in the world. He graduated from the Moscow Institute of Physics and Technology in 1990, and earned his PhD in applied mathematics at the Institute of Numerical Mathematics of the Russian Academy of Sciences in 1995. Alexander holds 26 patents (more pending worldwide).

Mind Design II

Mind Design II
Author: John Haugeland
Publsiher: MIT Press
Total Pages: 476
Release: 1997
ISBN 10: 9780262581530
ISBN 13: 0262581531
Language: EN, FR, DE, ES & NL

Mind Design II Book Review:

Mind Design deals with the "how" of mind (thinking and intellect) rather than the essence of what mind is. It can be likened to the reverse engineering of psychology. This revised and enlarged edition contains additional new essays.

Ten Strategies of a World Class Cybersecurity Operations Center

Ten Strategies of a World Class Cybersecurity Operations Center
Author: Carson Zimmerman
Publsiher: Unknown
Total Pages: 135
Release: 2014-07-01
ISBN 10: 9780692243107
ISBN 13: 0692243100
Language: EN, FR, DE, ES & NL

Ten Strategies of a World Class Cybersecurity Operations Center Book Review:

Ten Strategies of a World-Class Cyber Security Operations Center conveys MITRE's accumulated expertise on enterprise-grade computer network defense. It covers ten key qualities of leading Cyber Security Operations Centers (CSOCs), ranging from their structure and organization, to processes that best enable smooth operations, to approaches that extract maximum value from key CSOC technology investments. This book offers perspective and context for key decision points in structuring a CSOC, such as what capabilities to offer, how to architect large-scale data collection and analysis, and how to prepare the CSOC team for agile, threat-based response. If you manage, work in, or are standing up a CSOC, this book is for you. It is also available on MITRE's website, www.mitre.org.

Architecture of Network Systems

Architecture of Network Systems
Author: Dimitrios Serpanos,Tilman Wolf
Publsiher: Elsevier
Total Pages: 344
Release: 2011-01-12
ISBN 10: 9780080922829
ISBN 13: 0080922821
Language: EN, FR, DE, ES & NL

Architecture of Network Systems Book Review:

Architecture of Network Systems explains the practice and methodologies that will allow you to solve a broad range of problems in system design, including problems related to security, quality of service, performance, manageability, and more. Leading researchers Dimitrios Serpanos and Tilman Wolf develop architectures for all network sub-systems, bridging the gap between operation and VLSI. This book provides comprehensive coverage of the technical aspects of network systems, including system-on-chip technologies, embedded protocol processing and high-performance, and low-power design. It develops a functional approach to network system architecture based on the OSI reference model, which is useful for practitioners at every level. It also covers both fundamentals and the latest developments in network systems architecture, including network-on-chip, network processors, algorithms for lookup and classification, and network systems for the next-generation Internet. The book is recommended for practicing engineers designing the architecture of network systems and graduate students in computer engineering and computer science studying network system design. This is the first book to provide comprehensive coverage of the technical aspects of network systems, including processing systems, hardware technologies, memory managers, software routers, and more. Develops a systematic approach to network architectures, based on the OSI reference model, that is useful for practitioners at every level. Covers both the important basics and cutting-edge topics in network systems architecture, including Quality of Service and Security for mobile, real-time P2P services, Low-Power Requirements for Mobile Systems, and next generation Internet systems.

Concepts Techniques and Models of Computer Programming

Concepts  Techniques  and Models of Computer Programming
Author: Peter Van-Roy,Seif Haridi
Publsiher: MIT Press
Total Pages: 900
Release: 2004
ISBN 10: 9780262220699
ISBN 13: 0262220695
Language: EN, FR, DE, ES & NL

Concepts Techniques and Models of Computer Programming Book Review:

Running the Example Programs - Introduction to Programming Concepts - General computation models : Declarative Computation Model - Declarative Programming Techniques - Declarative Concurrency - Message-Passing Concurrency - Explicit State - Object-Oriented Programming - Shared-State Concurrency - Relational Programming - Specialized computation models : Graphical User Interface Programming - Distributed Programming - Constraint Programming - Semantics : Language Semantics.

Secure Processors Part I

Secure Processors Part I
Author: Victor Costan,Ilia Lebedev,Srinivas Devadas
Publsiher: Unknown
Total Pages: 268
Release: 2017-07-13
ISBN 10: 9781680833003
ISBN 13: 1680833006
Language: EN, FR, DE, ES & NL

Secure Processors Part I Book Review:

This manuscript is the first in a two part survey and analysis of the state of the art in secure processor systems, with a specific focus on remote software attestation and software isolation. This manuscript first examines the relevant concepts in computer architecture and cryptography, and then surveys attack vectors and existing processor systems claiming security for remote computation and/or software isolation. This work examines in detail the modern isolation container (enclave) primitive as a means to minimize trusted software given practical trusted hardware and reasonable performance overhead. Specifically, this work examines in detail the programming model and software design considerations of Intel's Software Guard Extensions (SGX), as it is an available and documented enclave-capable system. Part II of this work is a deep dive into the implementation and security evaluation of two modern enclave-capable secure processor systems: SGX and MIT's Sanctum. The complex but insufficient threat model employed by SGX motivates Sanctum, which achieves stronger security guarantees under software attacks with an equivalent programming model. This work advocates a principled, transparent, and well-scrutinized approach to secure system design, and argues that practical guarantees of privacy and integrity for remote computation are achievable at a reasonable design cost and performance overhead.

Principles of Synthetic Intelligence

Principles of Synthetic Intelligence
Author: Joscha Bach
Publsiher: Oxford University Press
Total Pages: 400
Release: 2009-04-06
ISBN 10: 9780199708109
ISBN 13: 019970810X
Language: EN, FR, DE, ES & NL

Principles of Synthetic Intelligence Book Review:

From the Foreword: "In this book Joscha Bach introduces Dietrich Dörner's PSI architecture and Joscha's implementation of the MicroPSI architecture. These architectures and their implementation have several lessons for other architectures and models. Most notably, the PSI architecture includes drives and thus directly addresses questions of emotional behavior. An architecture including drives helps clarify how emotions could arise. It also changes the way that the architecture works on a fundamental level, providing an architecture more suited for behaving autonomously in a simulated world. PSI includes three types of drives, physiological (e.g., hunger), social (i.e., affiliation needs), and cognitive (i.e., reduction of uncertainty and expression of competency). These drives routinely influence goal formation and knowledge selection and application. The resulting architecture generates new kinds of behaviors, including context dependent memories, socially motivated behavior, and internally motivated task switching. This architecture illustrates how emotions and physical drives can be included in an embodied cognitive architecture. The PSI architecture, while including perceptual, motor, learning, and cognitive processing components, also includes several novel knowledge representations: temporal structures, spatial memories, and several new information processing mechanisms and behaviors, including progress through types of knowledge sources when problem solving (the Rasmussen ladder), and knowledge-based hierarchical active vision. These mechanisms and representations suggest ways for making other architectures more realistic, more accurate, and easier to use. The architecture is demonstrated in the Island simulated environment. While it may look like a simple game, it was carefully designed to allow multiple tasks to be pursued and provides ways to satisfy the multiple drives. It would be useful in its own right for developing other architectures interested in multi-tasking, long-term learning, social interaction, embodied architectures, and related aspects of behavior that arise in a complex but tractable real-time environment. The resulting models are not presented as validated cognitive models, but as theoretical explorations in the space of architectures for generating behavior. The sweep of the architecture can thus be larger-it presents a new cognitive architecture attempting to provide a unified theory of cognition. It attempts to cover perhaps the largest number of phenomena to date. This is not a typical cognitive modeling work, but one that I believe that we can learn much from." --Frank E. Ritter, Series Editor Although computational models of cognition have become very popular, these models are relatively limited in their coverage of cognition-- they usually only emphasize problem solving and reasoning, or treat perception and motivation as isolated modules. The first architecture to cover cognition more broadly is PSI theory, developed by Dietrich Dorner. By integrating motivation and emotion with perception and reasoning, and including grounded neuro-symbolic representations, PSI contributes significantly to an integrated understanding of the mind. It provides a conceptual framework that highlights the relationships between perception and memory, language and mental representation, reasoning and motivation, emotion and cognition, autonomy and social behavior. It is, however, unfortunate that PSI's origin in psychology, its methodology, and its lack of documentation have limited its impact. The proposed book adapts Psi theory to cognitive science and artificial intelligence, by elucidating both its theoretical and technical frameworks, and clarifying its contribution to how we have come to understand cognition.

Artificial Intelligence Applications and Innovations

Artificial Intelligence Applications and Innovations
Author: Vladan Devedžic
Publsiher: Springer
Total Pages: 484
Release: 2006-04-11
ISBN 10: 1402081510
ISBN 13: 9781402081514
Language: EN, FR, DE, ES & NL

Artificial Intelligence Applications and Innovations Book Review:

Artificial Intelligence and Innovations (AIAI) will interest researchers, IT professionals and consultants by examining technologies and applications of demonstrable value. The conference focused on profitable intelligent systems and technologies. AIAI focuses on real world applications; therefore authors should highlight the benefits of AI technology for industry and services. Novel approaches solving business and industrial problems, using AI, will emerge from this conference.

Effective Computation in Physics

Effective Computation in Physics
Author: Anthony Scopatz,Kathryn D. Huff
Publsiher: "O'Reilly Media, Inc."
Total Pages: 552
Release: 2015-06-25
ISBN 10: 1491901586
ISBN 13: 9781491901588
Language: EN, FR, DE, ES & NL

Effective Computation in Physics Book Review:

More physicists today are taking on the role of software developer as part of their research, but software development isn’t always easy or obvious, even for physicists. This practical book teaches essential software development skills to help you automate and accomplish nearly any aspect of research in a physics-based field. Written by two PhDs in nuclear engineering, this book includes practical examples drawn from a working knowledge of physics concepts. You’ll learn how to use the Python programming language to perform everything from collecting and analyzing data to building software and publishing your results. In four parts, this book includes: Getting Started: Jump into Python, the command line, data containers, functions, flow control and logic, and classes and objects Getting It Done: Learn about regular expressions, analysis and visualization, NumPy, storing data in files and HDF5, important data structures in physics, computing in parallel, and deploying software Getting It Right: Build pipelines and software, learn to use local and remote version control, and debug and test your code Getting It Out There: Document your code, process and publish your findings, and collaborate efficiently; dive into software licenses, ownership, and copyright procedures

Data Parallel C

Data Parallel C
Author: James Reinders,Ben Ashbaugh,James Brodman,Michael Kinsner,John Pennycook,Xinmin Tian
Publsiher: Apress
Total Pages: 548
Release: 2020-11-19
ISBN 10: 9781484255735
ISBN 13: 1484255739
Language: EN, FR, DE, ES & NL

Data Parallel C Book Review:

Learn how to accelerate C++ programs using data parallelism. This open access book enables C++ programmers to be at the forefront of this exciting and important new development that is helping to push computing to new levels. It is full of practical advice, detailed explanations, and code examples to illustrate key topics. Data parallelism in C++ enables access to parallel resources in a modern heterogeneous system, freeing you from being locked into any particular computing device. Now a single C++ application can use any combination of devices—including GPUs, CPUs, FPGAs and AI ASICs—that are suitable to the problems at hand. This book begins by introducing data parallelism and foundational topics for effective use of the SYCL standard from the Khronos Group and Data Parallel C++ (DPC++), the open source compiler used in this book. Later chapters cover advanced topics including error handling, hardware-specific programming, communication and synchronization, and memory model considerations. Data Parallel C++ provides you with everything needed to use SYCL for programming heterogeneous systems. What You'll Learn Accelerate C++ programs using data-parallel programming Target multiple device types (e.g. CPU, GPU, FPGA) Use SYCL and SYCL compilers Connect with computing’s heterogeneous future via Intel’s oneAPI initiative Who This Book Is For Those new data-parallel programming and computer programmers interested in data-parallel programming using C++.

Secure Processors Part II

Secure Processors Part II
Author: Victor Costan,Ilia Lebedev,Srinivas Devadas
Publsiher: Unknown
Total Pages: 128
Release: 2017-07-13
ISBN 10: 9781680833027
ISBN 13: 1680833022
Language: EN, FR, DE, ES & NL

Secure Processors Part II Book Review:

This manuscript is the second in a two part survey and analysis of the state of the art in secure processor systems, with a specific focus on remote software attestation and software isolation. The first part established the taxonomy and prerequisite concepts relevant to an examination of the state of the art in trusted remote computation: attested software isolation containers (enclaves). This second part extends Part I's description of Intel's Software Guard Extensions (SGX), an available and documented enclave-capable system, with a rigorous security analysis of SGX as a system for trusted remote computation. This part documents the authors' concerns over the shortcomings of SGX as a secure system and introduces the MIT Sanctum processor developed by the authors: a system designed to offer stronger security guarantees, lend itself better to analysis and formal verification, and offer a more straightforward and complete threat model than the Intel system, all with an equivalent programming model. This two part work advocates a principled, transparent, and wellscrutinized approach to system design, and argues that practical guarantees of privacy and integrity for remote computation are achievable at a reasonable design cost and performance overhead.

Modern Computer Architecture and Organization

Modern Computer Architecture and Organization
Author: Jim Ledin
Publsiher: Packt Publishing Ltd
Total Pages: 560
Release: 2020-04-30
ISBN 10: 183898710X
ISBN 13: 9781838987107
Language: EN, FR, DE, ES & NL

Modern Computer Architecture and Organization Book Review:

A no-nonsense, practical guide to current and future processor and computer architectures, enabling you to design computer systems and develop better software applications across a variety of domains Key Features Understand digital circuitry with the help of transistors, logic gates, and sequential logic Examine the architecture and instruction sets of x86, x64, ARM, and RISC-V processors Explore the architecture of modern devices such as the iPhone X and high-performance gaming PCs Book Description Are you a software developer, systems designer, or computer architecture student looking for a methodical introduction to digital device architectures but overwhelmed by their complexity? This book will help you to learn how modern computer systems work, from the lowest level of transistor switching to the macro view of collaborating multiprocessor servers. You'll gain unique insights into the internal behavior of processors that execute the code developed in high-level languages and enable you to design more efficient and scalable software systems. The book will teach you the fundamentals of computer systems including transistors, logic gates, sequential logic, and instruction operations. You will learn details of modern processor architectures and instruction sets including x86, x64, ARM, and RISC-V. You will see how to implement a RISC-V processor in a low-cost FPGA board and how to write a quantum computing program and run it on an actual quantum computer. By the end of this book, you will have a thorough understanding of modern processor and computer architectures and the future directions these architectures are likely to take. What you will learn Get to grips with transistor technology and digital circuit principles Discover the functional elements of computer processors Understand pipelining and superscalar execution Work with floating-point data formats Understand the purpose and operation of the supervisor mode Implement a complete RISC-V processor in a low-cost FPGA Explore the techniques used in virtual machine implementation Write a quantum computing program and run it on a quantum computer Who this book is for This book is for software developers, computer engineering students, system designers, reverse engineers, and anyone looking to understand the architecture and design principles underlying modern computer systems from tiny embedded devices to warehouse-size cloud server farms. A general understanding of computer processors is helpful but not required.