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Beschreibung
This book explores and motivates the need for building homogeneous and heterogeneous multi-core systems for machine learning to enable flexibility and energy-efficiency. Coverage focuses on a key aspect of the challenges of (extreme-)edge-computing, i.e., design of energy-efficient and flexible hardware architectures, and hardware-software co-optimization strategies to enable early design space exploration of hardware architectures. The authors investigate possible design solutions for building single-core specialized hardware accelerators for machine learning and motivates the need for building homogeneous and heterogeneous multi-core systems to enable flexibility and energy-efficiency. The advantages of scaling to heterogeneous multi-core systems are shown through the implementation of multiple test chips and architectural optimizations.
Journey from Single-core Acceleration to Multi-core Heterogeneous Systems
Journey from Single-core Acceleration to Multi-core Heterogeneous Systems
Details
| Verlag | Springer International Publishing |
| Ersterscheinung | 17. September 2023 |
| Maße | 23.5 cm x 15.5 cm |
| Gewicht | 489 Gramm |
| Format | Hardcover |
| ISBN-13 | 9783031382291 |
| Auflage | 2024 |
| Seiten | 186 |