Workload Dependent Mitigation Approaches for Performance Variability
Description
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 users to tackle performance variability of multiple timescales down to the sub-millisecond level.
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Persons
Ji-Yung Lin received the M.Sc. degree in electronics engineering from National Taiwan University, Taiwan in 2013. From 2013 to 2018, he worked for TSMC, Taiwan, where he was engaged in design enablement for advanced technologies. Between 2018 and 2024, he worked as a PhD student in IMEC and Katholieke Universiteit Leuven, Belgium, where he conducted research on reliability of digital systems. Consequently, he received the Ph.D. degree in Electrical Engineering in KU Leuven in 2024. Currently he works as a full-time researcher in IMEC, specializing in Design Technology Co-optimization (DTCO) & System Technology Co-optimization (STCO) of the cutting-edge devices and architectures. His research interests include variability and reliability of VLSI, as well as as well as design and automation of digital circuits and systems.
Michalis Noltsis received his diploma in Electrical and Computer Engineering from the National Technical Univesity of Athens in 2014. Afterwards he proceeded with acquiring his (dual) Ph.D in Engineering from the National Technical University of Athens and KU Leuven in 2020 while working as an associate researcher in the Institute of Communication and Computer Systems in Athens. The domain of his research includes semiconductor reliability and performance dependability of computing systems. Currently, he works as an Analog Design Engineer for Intracom Defense Electronics in Greece.
Dimitrios Soudris received the Diploma and Ph.D. degrees in electrical engineer- ing from the University of Patras, Patras, Greece, in 1987 and 1992, respectively. Since 1995, he has been a Professor with the Department of Electrical and Computer Engineering, Democritus University of Thrace, Xanthi, Greece. He is currently a Professor with the School of Electrical and Computer Engineer- ing, National Technical University of Athens, Athens, Greece. He has authored or coauthored more than 500 papers in international journals/conferences. He has coauthored/coedited seven Kluwer/Springer books. He is also the leader and a principal investigator in research projects funded by Greek Government and Industry, European Commission, ENIAC-JU, and European Space Agency. His current research interests include high performance computing, embedded sys- tems, reconfigurable architectures, reliability, and low-power VLSI design. He was a recipient of the award from INTEL and IBM for EU Project LPGD 25256; ASP-DAC 05 and VLSI 05 awards for EU AMDREL IST-2001-34379, and sev- eral HiPEAC awards. He has served as the general/program chair in several conferences.
Francky Catthoor received a Ph.D. in EE from the Katholieke Univ. Leuven, Belgium in 1987. Between 1987 and 2000, he has headed several research do- mains in the area of synthesis techniques and architectural methodologies. Since 2000 he is strongly involved in other activities at IMEC including co-exploration of application, computer architecture and deep submicron technology aspects, biomedical systems and IoT sensor nodes, and photo-voltaic modules combined with renewable energy systems, all at IMEC Leuven, Belgium. Currently he is an IMEC senior fellow. He is also part-time full professor at the EE department of the KULeuven. He has been associate editor for several IEEE and ACM journals, and was elected IEEE fellow in 2005.
Content
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.
