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Ascend AI Processor Architecture and Programming

Ascend AI Processor Architecture and Programming
Principles and Applications of CANN

by Xiaoyao Liang

  • Publisher : Elsevier
  • Release : 2020-09-11
  • Pages : 308
  • ISBN : 0128234881
  • Language : En, Es, Fr & De
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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
Principles and Applications of CANN

by Xiaoyao Liang

  • Publisher : Elsevier
  • Release : 2020-07-29
  • Pages : 308
  • ISBN : 012823489X
  • Language : En, Es, Fr & De
GET BOOK

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
Algorithms, Compilers, and Processors for Large-Scale Production

by Andres Rodriguez

  • Publisher : Morgan & Claypool Publishers
  • Release : 2020-10-26
  • Pages : 265
  • ISBN : 1681739674
  • Language : En, Es, Fr & De
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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.

Deep Learning and Practice with MindSpore

Deep Learning and Practice with MindSpore
A Book

by Lei Chen

  • Publisher : Springer Nature
  • Release : 2021-09-18
  • Pages : 394
  • ISBN : 9811622337
  • Language : En, Es, Fr & De
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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.

Understanding Computer Information Systems

Understanding Computer Information Systems
A Book

by Paul W. Ross,H. Paul Hiduk,H. Willis Means

  • Publisher : West Group
  • Release : 1992
  • Pages : 204
  • ISBN : 9780314934376
  • Language : En, Es, Fr & De
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Computer & Control Abstracts

Computer & Control Abstracts
A Book

by Anonim

  • Publisher : Unknown Publisher
  • Release : 1996
  • Pages : 129
  • ISBN : 9876543210XXX
  • Language : En, Es, Fr & De
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Computing Essentials, 1997-1998

Computing Essentials, 1997-1998
A Book

by Timothy J. O'Leary,Linda I. O'Leary

  • Publisher : McGraw-Hill College
  • Release : 1997
  • Pages : 303
  • ISBN : 9780079130617
  • Language : En, Es, Fr & De
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Documentation Abstracts

Documentation Abstracts
A Book

by Anonim

  • Publisher : Unknown Publisher
  • Release : 1991
  • Pages : 129
  • ISBN : 9876543210XXX
  • Language : En, Es, Fr & De
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McGraw-Hill Computing Essentials, 1996-1997

McGraw-Hill Computing Essentials, 1996-1997
A Book

by Timothy J. O'Leary,Linda I. O'Leary

  • Publisher : McGraw-Hill College
  • Release : 1995-12
  • Pages : 303
  • ISBN : 9780070490918
  • Language : En, Es, Fr & De
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This brief, straightforward text covers computer concepts for the introduction to computers course. The text is also available packaged with a CD-ROM for students, covering topics from the text plus demonstrations, simulations, projects, tests and exercises.

McGraw-Hill Computing Essentials, 1997-1998

McGraw-Hill Computing Essentials, 1997-1998
Brief Version

by Timothy J. O'Leary,Linda I. O'Leary

  • Publisher : McGraw-Hill/Irwin
  • Release : 1997
  • Pages : 201
  • ISBN : 9780079130624
  • Language : En, Es, Fr & De
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Revised annually, this text covers the first nine chapters of Computer Essentials. The accompanying CD-ROM corresponds to the chapters in the text and includes exercises, activities, animations, audio, video, and photographs. Students should gain computer-related knowledge by becoming computer literate, familiar with commercial software packages and grounded in fundamental concepts. The Internet section is updated and has expanded coverage of the World Wide Web.

McGraw-Hill Computing Essentials, 1996-1997 Edition

McGraw-Hill Computing Essentials, 1996-1997 Edition
A Book

by Timothy J. O'Leary,Linda I. O'Leary

  • Publisher : McGraw-Hill
  • Release : 1995-12
  • Pages : 201
  • ISBN : 9780070490901
  • Language : En, Es, Fr & De
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This text offers the first eight chapters of Computing Essentials for the instructor who wants to offer a very brief introduction to computers course. The business-oriented chapters have been omitted. The text is also available packaged with a CD-ROM for students, covering topics from the text plus demonstrations, simulations, projects, tests and exercises.

Index to Simulation Literature, 1976-1981

Index to Simulation Literature, 1976-1981
A Book

by Per A. Holst

  • Publisher : Unknown Publisher
  • Release : 1982
  • Pages : 332
  • ISBN : 9876543210XXX
  • Language : En, Es, Fr & De
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McGraw-Hill Computing Essentials

McGraw-Hill Computing Essentials
1995-1996

by Timothy J. O'Leary,Linda I. O'Leary

  • Publisher : McGraw-Hill College
  • Release : 1995
  • Pages : 312
  • ISBN : 9780070490451
  • Language : En, Es, Fr & De
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This text contains all the general information that students need to understand how the hardware of a modern personal computer works. Students are shown how the CPU operates, how files are stored, how computers are programmed and how they communicate to printers and networks. Ethics and security issues are covered, and the book also takes a look at what the future may have in store. Other topics of interest include virtual reality, HCI and the Internet.

Interfacing Realities

Interfacing Realities
A Book

by Anonim

  • Publisher : V2_ publishing
  • Release : 1997
  • Pages : 59
  • ISBN : 9066171839
  • Language : En, Es, Fr & De
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Index to IEEE Publications

Index to IEEE Publications
A Book

by Institute of Electrical and Electronics Engineers

  • Publisher : Unknown Publisher
  • Release : 1995
  • Pages : 129
  • ISBN : 9876543210XXX
  • Language : En, Es, Fr & De
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Issues for 1973- cover the entire IEEE technical literature.