LEADER 03642nam 22005775 450 001 9911007488003321 005 20250529130241.0 010 $a3-031-85624-4 024 7 $a10.1007/978-3-031-85624-2 035 $a(CKB)39124431600041 035 $a(DE-He213)978-3-031-85624-2 035 $a(MiAaPQ)EBC32140544 035 $a(Au-PeEL)EBL32140544 035 $a(EXLCZ)9939124431600041 100 $a20250529d2025 u| 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aWorkload Dependent Mitigation Approaches for Performance Variability $eEnsuring Timing Guarantees of Integrated Circuits /$fby Ji-Yung Lin, Michalis Noltsis, Dimitrios Soudris, Francky Catthoor 205 $a1st ed. 2025. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2025. 215 $a1 online resource (XIV, 179 p. 104 illus., 86 illus. in color.) 311 08$a3-031-85623-6 327 $aChapter 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. 330 $aThis 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 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. 606 $aElectronic circuit design 606 $aEmbedded computer systems 606 $aLogic design 606 $aElectronics Design and Verification 606 $aEmbedded Systems 606 $aLogic Design 615 0$aElectronic circuit design. 615 0$aEmbedded computer systems. 615 0$aLogic design. 615 14$aElectronics Design and Verification. 615 24$aEmbedded Systems. 615 24$aLogic Design. 676 $a621.3815 700 $aLin$b Ji-Yung$4aut$4http://id.loc.gov/vocabulary/relators/aut$01821896 702 $aNoltsis$b Michalis$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aSoudris$b Dimitrios$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aCatthoor$b Francky$4aut$4http://id.loc.gov/vocabulary/relators/aut 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9911007488003321 996 $aWorkload Dependent Mitigation Approaches for Performance Variability$94387841 997 $aUNINA