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Record Nr. |
UNINA9911007488003321 |
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Autore |
Lin Ji-Yung |
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Titolo |
Workload Dependent Mitigation Approaches for Performance Variability : Ensuring Timing Guarantees of Integrated Circuits / / by Ji-Yung Lin, Michalis Noltsis, Dimitrios Soudris, Francky Catthoor |
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Pubbl/distr/stampa |
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Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 |
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ISBN |
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Edizione |
[1st ed. 2025.] |
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Descrizione fisica |
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1 online resource (XIV, 179 p. 104 illus., 86 illus. in color.) |
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Disciplina |
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Soggetti |
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Electronic circuit design |
Embedded computer systems |
Logic design |
Electronics Design and Verification |
Embedded Systems |
Logic Design |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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Chapter 1. Introduction -- Chapter 2. Variability in Integrated Circuits -- Chapter 3. Mitigation Approaches for Performance Variability: State-of-the-Art -- Chapter 4. Mitigating Performance Variability Using System and Adaptive Scenarios -- Chapter 5. Workload-Dependent Multi-Timescale Mitigation Approach for Performance Variability: Theory -- Chapter 6. Workload-Dependent Multi-Timescale Mitigation Approach for Performance Variability: Experiments -- Chapter 7. Cross-Layer Reliability and VariabilityMitigation Framework: Theory -- Chapter 8. Cross-Layer Reliability and VariabilityMitigation Framework: Experiments -- Chapter 9. Conclusion and Future Work. |
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Sommario/riassunto |
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This book provides a holistic view of workload-dependent mitigation techniques for performance variability. The authors describe the use of design-time profiling information to reduce the uncertainties in future execution time calculation at run time, thereby offering the best option for minimizing system costs while reducing missed deadlines. Readers are introduced to an approach that combines dynamic voltage and frequency scaling (DVFS) with heterogeneous datapaths (HDP), enabling |
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users to tackle performance variability of multiple timescales down to the sub-millisecond level. Provides a holistic view of workload-dependent mitigation techniques for performance variability; Introduces heterogeneous datapaths, improving time granularity of mitigation from the milliseconds to microseconds ; Combines dynamic voltage and frequency scaling with heterogeneous datapaths, enhancing variability mitigation. |
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