Coverart for item
The Resource Embedded computing for high performance : efficient mapping of computations using customization, code transformations and compilation, João M.P. Cardoso, José Gabriel F. Coutinho, Pedro C. Diniz

Embedded computing for high performance : efficient mapping of computations using customization, code transformations and compilation, João M.P. Cardoso, José Gabriel F. Coutinho, Pedro C. Diniz

Label
Embedded computing for high performance : efficient mapping of computations using customization, code transformations and compilation
Title
Embedded computing for high performance
Title remainder
efficient mapping of computations using customization, code transformations and compilation
Statement of responsibility
João M.P. Cardoso, José Gabriel F. Coutinho, Pedro C. Diniz
Creator
Contributor
Author
Subject
Language
eng
Summary
Embedded Computing for High Performance: Design Exploration and Customization Using High-level Compilation and Synthesis Tools provides a set of real-life example implementations that migrate traditional desktop systems to embedded systems. Working with popular hardware, including Xilinx and ARM, the book offers a comprehensive description of techniques for mapping computations expressed in programming languages such as C or MATLAB to high-performance embedded architectures consisting of multiple CPUs, GPUs, and reconfigurable hardware (FPGAs). The authors demonstrate a domain-specific language (LARA) that facilitates retargeting to multiple computing systems using the same source code. In this way, users can decouple original application code from transformed code and enhance productivity and program portability. After reading this book, engineers will understand the processes, methodologies, and best practices needed for the development of applications for high-performance embedded computing systems
Member of
Cataloging source
N$T
http://library.link/vocab/creatorName
Cardoso, João M. P
Dewey number
004.16
Illustrations
illustrations
LC call number
TK7895.E42
Literary form
non fiction
Nature of contents
  • dictionaries
  • bibliography
http://library.link/vocab/relatedWorkOrContributorName
  • Coutinho, José Gabriel de Figueiredo
  • Diniz, Pedro C.
http://library.link/vocab/subjectName
  • Embedded computer systems
  • High performance computing
Label
Embedded computing for high performance : efficient mapping of computations using customization, code transformations and compilation, João M.P. Cardoso, José Gabriel F. Coutinho, Pedro C. Diniz
Instantiates
Publication
Copyright
Antecedent source
unknown
Bibliography note
Includes bibliographical references and index
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
  • Front Cover; Embedded Computing for High Performance: Efficient Mapping of Computations Using Customization, CodeTransformations and Com...; Copyright; Dedication; Contents; About the Authors; Preface; Acknowledgments; Abbreviations; Chapter 1: Introduction; 1.1. Overview; 1.2. Embedded Systems in Society and Industry; 1.3. Embedded Computing Trends; 1.4. Embedded Systems: Prototyping and Production; 1.5. About LARA: An Aspect-Oriented Approach; 1.6. Objectives and Target Audience; 1.7. Complementary Bibliography; 1.8. Dependences in Terms of Knowledge; 1.9. Examples and Benchmarks
  • 1.10. Book Organization1.11. Intended Use; 1.12. Summary; References; Chapter 2: High-performance embedded computing; 2.1. Introduction; 2.2. Target Architectures; 2.2.1. Hardware Accelerators as Coprocessors; 2.2.2. Multiprocessor and Multicore Architectures; 2.2.3. Heterogeneous Multiprocessor/Multicore Architectures; 2.2.4. OpenCL Platform Model; 2.3. Core-Based Architectural Enhancements; 2.3.1. Single Instruction, Multiple Data Units; 2.3.2. Fused Multiply-Add Units; 2.3.3. Multithreading Support; 2.4. Common Hardware Accelerators; 2.4.1. GPU Accelerators
  • 2.4.2. Reconfigurable Hardware Accelerators2.4.3. SoCs With Reconfigurable Hardware; 2.5. Performance; 2.5.1. Amdahl's Law; 2.5.2. The Roofline Model; 2.5.3. Worst-Case Execution Time Analysis; 2.6. Power and Energy Consumption; 2.6.1. Dynamic Power Management; 2.6.2. Dynamic Voltage and Frequency Scaling; 2.6.3. Dark Silicon; 2.7. Comparing Results; 2.8. Summary; 2.9. Further Reading; References; Chapter 3: Controlling the design and development cycle; 3.1. Introduction; 3.2. Specifications in MATLAB and C: Prototyping and Development; 3.2.1. Abstraction Levels
  • 3.2.2. Dealing With Different Concerns3.2.3. Dealing With Generic Code; 3.2.4. Dealing With Multiple Targets; 3.3. Translation, Compilation, and Synthesis Design flows; 3.4. Hardware/Software Partitioning; 3.4.1. Static Partitioning; 3.4.2. Dynamic Partitioning; 3.5. LARA: a language for Specifying Strategies; 3.5.1. Select and Apply; 3.5.2. Insert Action; 3.5.3. Exec and Def Actions; 3.5.4. Invoking Aspects; 3.5.5. Executing External Tools; 3.5.6. Compilation and Synthesis Strategies in LARA; 3.6. Summary; 3.7. Further Reading; References; Chapter 4: Source code analysis and instrumentation
  • 4.1. Introduction4.2. Analysis and Metrics; 4.3. Static Source Code Analysis; 4.3.1. Data Dependences; 4.3.2. Code Metrics; 4.4. Dynamic Analysis: The Need for Instrumentation; 4.4.1. Information From Profiling; 4.4.2. Profiling Example; 4.5. Custom Profiling Examples; 4.5.1. Finding Hotspots; 4.5.2. Loop Metrics; 4.5.3. Dynamic Call Graphs; 4.5.4. Branch Frequencies; 4.5.5. Heap Memory; 4.6. Summary; 4.7. Further Reading; References; Chapter 5: Source code transformations and optimizations; 5.1. Introduction; 5.2. Basic Transformations; 5.3. Data Type Conversions; 5.4. Code Reordering
Dimensions
unknown
Extent
1 online resource
File format
unknown
Form of item
online
Isbn
9780128041994
Level of compression
unknown
Media category
computer
Media MARC source
rdamedia
Media type code
c
Other physical details
color illustrations
Quality assurance targets
not applicable
Reformatting quality
unknown
Sound
unknown sound
Specific material designation
remote
Label
Embedded computing for high performance : efficient mapping of computations using customization, code transformations and compilation, João M.P. Cardoso, José Gabriel F. Coutinho, Pedro C. Diniz
Publication
Copyright
Antecedent source
unknown
Bibliography note
Includes bibliographical references and index
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
  • Front Cover; Embedded Computing for High Performance: Efficient Mapping of Computations Using Customization, CodeTransformations and Com...; Copyright; Dedication; Contents; About the Authors; Preface; Acknowledgments; Abbreviations; Chapter 1: Introduction; 1.1. Overview; 1.2. Embedded Systems in Society and Industry; 1.3. Embedded Computing Trends; 1.4. Embedded Systems: Prototyping and Production; 1.5. About LARA: An Aspect-Oriented Approach; 1.6. Objectives and Target Audience; 1.7. Complementary Bibliography; 1.8. Dependences in Terms of Knowledge; 1.9. Examples and Benchmarks
  • 1.10. Book Organization1.11. Intended Use; 1.12. Summary; References; Chapter 2: High-performance embedded computing; 2.1. Introduction; 2.2. Target Architectures; 2.2.1. Hardware Accelerators as Coprocessors; 2.2.2. Multiprocessor and Multicore Architectures; 2.2.3. Heterogeneous Multiprocessor/Multicore Architectures; 2.2.4. OpenCL Platform Model; 2.3. Core-Based Architectural Enhancements; 2.3.1. Single Instruction, Multiple Data Units; 2.3.2. Fused Multiply-Add Units; 2.3.3. Multithreading Support; 2.4. Common Hardware Accelerators; 2.4.1. GPU Accelerators
  • 2.4.2. Reconfigurable Hardware Accelerators2.4.3. SoCs With Reconfigurable Hardware; 2.5. Performance; 2.5.1. Amdahl's Law; 2.5.2. The Roofline Model; 2.5.3. Worst-Case Execution Time Analysis; 2.6. Power and Energy Consumption; 2.6.1. Dynamic Power Management; 2.6.2. Dynamic Voltage and Frequency Scaling; 2.6.3. Dark Silicon; 2.7. Comparing Results; 2.8. Summary; 2.9. Further Reading; References; Chapter 3: Controlling the design and development cycle; 3.1. Introduction; 3.2. Specifications in MATLAB and C: Prototyping and Development; 3.2.1. Abstraction Levels
  • 3.2.2. Dealing With Different Concerns3.2.3. Dealing With Generic Code; 3.2.4. Dealing With Multiple Targets; 3.3. Translation, Compilation, and Synthesis Design flows; 3.4. Hardware/Software Partitioning; 3.4.1. Static Partitioning; 3.4.2. Dynamic Partitioning; 3.5. LARA: a language for Specifying Strategies; 3.5.1. Select and Apply; 3.5.2. Insert Action; 3.5.3. Exec and Def Actions; 3.5.4. Invoking Aspects; 3.5.5. Executing External Tools; 3.5.6. Compilation and Synthesis Strategies in LARA; 3.6. Summary; 3.7. Further Reading; References; Chapter 4: Source code analysis and instrumentation
  • 4.1. Introduction4.2. Analysis and Metrics; 4.3. Static Source Code Analysis; 4.3.1. Data Dependences; 4.3.2. Code Metrics; 4.4. Dynamic Analysis: The Need for Instrumentation; 4.4.1. Information From Profiling; 4.4.2. Profiling Example; 4.5. Custom Profiling Examples; 4.5.1. Finding Hotspots; 4.5.2. Loop Metrics; 4.5.3. Dynamic Call Graphs; 4.5.4. Branch Frequencies; 4.5.5. Heap Memory; 4.6. Summary; 4.7. Further Reading; References; Chapter 5: Source code transformations and optimizations; 5.1. Introduction; 5.2. Basic Transformations; 5.3. Data Type Conversions; 5.4. Code Reordering
Dimensions
unknown
Extent
1 online resource
File format
unknown
Form of item
online
Isbn
9780128041994
Level of compression
unknown
Media category
computer
Media MARC source
rdamedia
Media type code
c
Other physical details
color illustrations
Quality assurance targets
not applicable
Reformatting quality
unknown
Sound
unknown sound
Specific material designation
remote

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