Reliable and Energy Efficient Streaming Multiprocessor Systems
Das, Anup Kumar
Reliable and Energy Efficient Streaming Multiprocessor Systems by Anup Kumar Das, Akash Kumar, Bharadwaj Veeravalli, Francky Catthoor - 1 recurso en línea (XIV, 147 páginas) ilustraciones - Embedded Systems, 2193-0155 Engineering (Springer-11647) .
Chapter 1. Introduction -- chapter 2.Operational Semantics of Application and Reliability Model -- Chapter 3.Literature Survey on System-level Optimizations Techniques -- Chapter 4.Reliability and Energy-Aware Platform-Based Multiprocessor Design -- Chapter 5.Reliability and Energy-Aware Co-design of Multiprocessor Systems -- Chapter 6.Design-time Analysis for Fault-Tolerance -- Chapter 7.Run-time Adaptations for Lifetime Improvement -- chapter 8.Conclusions and Future Directions.
This book discusses analysis, design and optimization techniques for streaming multiprocessor systems, while satisfying a given area, performance, and energy budget. The authors describe design flows for both application-specific and general purpose streaming systems. Coverage also includes the use of machine learning for thermal optimization at run-time, when an application is being executed. The design flow described in this book extends to thermal and energy optimization with multiple applications running sequentially and concurrently.
9783319693743
10.1007/978-3-319-69374-3 doi
Multiprocesadores
Consumo de energía
QA76.5 / 2018 EB
Reliable and Energy Efficient Streaming Multiprocessor Systems by Anup Kumar Das, Akash Kumar, Bharadwaj Veeravalli, Francky Catthoor - 1 recurso en línea (XIV, 147 páginas) ilustraciones - Embedded Systems, 2193-0155 Engineering (Springer-11647) .
Chapter 1. Introduction -- chapter 2.Operational Semantics of Application and Reliability Model -- Chapter 3.Literature Survey on System-level Optimizations Techniques -- Chapter 4.Reliability and Energy-Aware Platform-Based Multiprocessor Design -- Chapter 5.Reliability and Energy-Aware Co-design of Multiprocessor Systems -- Chapter 6.Design-time Analysis for Fault-Tolerance -- Chapter 7.Run-time Adaptations for Lifetime Improvement -- chapter 8.Conclusions and Future Directions.
This book discusses analysis, design and optimization techniques for streaming multiprocessor systems, while satisfying a given area, performance, and energy budget. The authors describe design flows for both application-specific and general purpose streaming systems. Coverage also includes the use of machine learning for thermal optimization at run-time, when an application is being executed. The design flow described in this book extends to thermal and energy optimization with multiple applications running sequentially and concurrently.
9783319693743
10.1007/978-3-319-69374-3 doi
Multiprocesadores
Consumo de energía
QA76.5 / 2018 EB