System-scenario-based design principles and applications. (©2020)

• Record Type: Book
• Further Information: Note: Francky Catthoor, Twan Basten, Nikolaos Zompakis, Marc Geilen, Per Gunnar Kjeldsberg.
• Other Names: Catthoor, Francky; Basten, Twan; Zompakis, Nikolaos; Geilen, Marc; Kjeldsberg, Per Gunnar
• Contents: Intro; Preface; Contents; 1 Introduction and Organization of Book Material; 1 Motivation and Context; 2 Contributions of the Book and Target Audience; 3 Structure of the Book; 4 Classification; References; 2 System Scenario Methodology Flow; 1 Introduction and Context; 2 Use-Case Versus System Scenario Concept; 3 Motivating Example; 4 Basic Concepts and Terminology; 5 System Scenario Methodology; 5.1 Methodology Overview; 5.2 Identification; 5.2.1 RTS Parameter Discovery; 5.2.2 RTS Clustering; 5.3 Prediction; 5.4 Exploitation; 5.5 Switching; 5.6 Calibration; 6 Case Study Summary 7 Extension to Multi-Tasking and Multi-Threading on Multi-Processor Platforms8 Related Work; 8.1 Related Design Approaches; 8.2 Scenario Exploitation Examples in Literature; 9 Conclusions; References; 3 System-Scenario-based Design Techniques in the Presence of Data Variables; 1 Introduction and Context; 2 Scenario Identification Through Polyhedral Partitioning of the Parameter Space; 2.1 Scenario Cost Definition for Use in Polyhedral Partitioning; 2.2 Algorithm for Polyhedral Scenario Identification; 2.3 Experimental Evaluation of Algorithm for Polyhedral Scenario Identification 3 Scenario Identification Based on Specific Cost Parameters3.1 RTS Clustering Based on Memory Size and Frequency of Occurrence; 3.2 Clustering of RTSs Based on Image Size and Set of Available Platform Configuration Knobs; 4 Scenario Detection; 4.1 Scenario Prediction Using Application Monitoring Unit; 4.2 Scenario Prediction Through Precomputation; 5 Scenario Switching; 5.1 Scenario Switching Using Platform Adaptation Manager; 5.2 Switching Gain Evaluation; 6 Large-Scale Application Demonstrator; 6.1 Application, Platform, and Scenario System Settings; 6.2 Discussion of Obtained Results 7 ConclusionsReferences; 4 DVFS-oriented Scenario Applications to Processor Architectures; 1 Software-Oriented Applications; 2 DVFS-RTH Sleep Mode Extensions; 2.1 Sleep Mode Management; 2.2 Sleep Mode Experimental Results; 3 Reliability-Sensitive Hardware-Oriented Applications and Gas-Pedal Extension; 3.1 Performance Dependability; 3.2 Introducing Gas-Pedal Points; 3.3 Choosing the Operating Points; 3.4 Case-Study Experiments; 3.4.1 Dependability in the Presence of Rollback Interventions; 3.4.2 Dependability in the Presence of Extra Load; 3.5 Hardware-Related Limitations of Our Scheme 4 ConclusionsReferences; 5 DVAFS-Dynamic-Voltage-Accuracy- Frequency-Scaling Applied to Scalable Convolutional Neural Network acceleration; 1 Exploiting Dynamic Precision Requirements in DVAFS; 1.1 DAS: Dynamic-Accuracy-Scaling; 1.2 DVAS: Dynamic-Voltage-Accuracy-Scaling; 1.3 DVAFS: Dynamic-Voltage-Accuracy-Frequency-Scaling; 2 DVAFS Performance Analysis; 2.1 Performance of a DVAFS Multiplier; 2.2 Performance of a DVAFS SIMD Processor; 3 A DVAFS Prototype; 3.1 Envision: A DVAFS-Compatible CNN Processor; 3.2 Envision in a Face Recognition Hierarchy; 4 DVAFS Overview; References
• Publisher Details: Cham : Springer
• Publication Date: 2020
• Copyright Date: 2020
• Extent: 1 online resource (236 pages)
• Subjects: 006.2/2; Embedded computer systems -- Design and construction; Embedded computer systems -- Design and construction; Electronic books
• Languages: English
• ISBNs: 9783030203436; 3030203433
• Related ISBNs: 9783030203429
• Notes: Note: Includes bibliographical references.; Note: Print version record.
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.