Constrained resource sharing and conflict resolution in Hebe
Integration, the VLSI Journal
A survey of design techniques for system-level dynamic power management
IEEE Transactions on Very Large Scale Integration (VLSI) Systems - Special section on low-power electronics and design
Real-time dynamic voltage scaling for low-power embedded operating systems
SOSP '01 Proceedings of the eighteenth ACM symposium on Operating systems principles
From blind certainty to informed uncertainty
Proceedings of the 8th ACM/IEEE international workshop on Timing issues in the specification and synthesis of digital systems
Energy-Aware Runtime Scheduling for Embedded-Multiprocessor SOCs
IEEE Design & Test
FORGE: A Framework for Optimization of Distributed Embedded Systems Software
IPDPS '03 Proceedings of the 17th International Symposium on Parallel and Distributed Processing
Dynamic Thermal Management for High-Performance Microprocessors
HPCA '01 Proceedings of the 7th International Symposium on High-Performance Computer Architecture
Razor: A Low-Power Pipeline Based on Circuit-Level Timing Speculation
Proceedings of the 36th annual IEEE/ACM International Symposium on Microarchitecture
Power-Aware Scheduling for Periodic Real-Time Tasks
IEEE Transactions on Computers
The Impact of Technology Scaling on Lifetime Reliability
DSN '04 Proceedings of the 2004 International Conference on Dependable Systems and Networks
Reliability and Power Management of Integrated Systems
DSD '04 Proceedings of the Digital System Design, EUROMICRO Systems
Exploiting Dynamic Workload Variation in Low Energy Preemptive Task Scheduling
Proceedings of the conference on Design, Automation and Test in Europe - Volume 1
ACSD '05 Proceedings of the Fifth International Conference on Application of Concurrency to System Design
Exploiting Structural Duplication for Lifetime Reliability Enhancement
Proceedings of the 32nd annual international symposium on Computer Architecture
Deployment of Better Than Worst-Case Design: Solutions and Needs
ICCD '05 Proceedings of the 2005 International Conference on Computer Design
Learning, anticipation and time-deception in evolutionary online dynamic optimization
GECCO '05 Proceedings of the 7th annual workshop on Genetic and evolutionary computation
Power reduction techniques for microprocessor systems
ACM Computing Surveys (CSUR)
ISQED '06 Proceedings of the 7th International Symposium on Quality Electronic Design
Proceedings of the 43rd annual Design Automation Conference
Reliability modeling and management in dynamic microprocessor-based systems
Proceedings of the 43rd annual Design Automation Conference
A Survey on Robust Model Predictive Control from 1999-2006
CIMCA '06 Proceedings of the International Conference on Computational Inteligence for Modelling Control and Automation and International Conference on Intelligent Agents Web Technologies and International Commerce
Transition-overhead-aware voltage scheduling for fixed-priority real-time systems
ACM Transactions on Design Automation of Electronic Systems (TODAES)
A Framework for Architecture-Level Lifetime Reliability Modeling
DSN '07 Proceedings of the 37th Annual IEEE/IFIP International Conference on Dependable Systems and Networks
Thermal-aware scheduling for future chip multiprocessors
EURASIP Journal on Embedded Systems
Energy-Efficient Scheduling for Real-Time Systems on Dynamic Voltage Scaling (DVS) Platforms
RTCSA '07 Proceedings of the 13th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications
Predictive dynamic thermal management for multicore systems
Proceedings of the 45th annual Design Automation Conference
Temperature-aware scheduling and assignment for hard real-time applications on MPSoCs
Proceedings of the conference on Design, automation and test in Europe
Scenario-based fixed-point data format refinement to enable energy-scalable software defined radios
Proceedings of the conference on Design, automation and test in Europe
System-scenario-based design of dynamic embedded systems
ACM Transactions on Design Automation of Electronic Systems (TODAES)
Application Scenarios in Streaming-Oriented Embedded-System Design
IEEE Design & Test
Systematic Methodology for Real-Time Cost-Effective Mapping of Dynamic Concurrent Task-Based Systems on Heterogenous Platforms
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
MEERA: cross-layer methodology for energy efficient resource allocation in wireless networks
IEEE Transactions on Wireless Communications
Constraint analysis for DSP code generation
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
Overview of the H.264/AVC video coding standard
IEEE Transactions on Circuits and Systems for Video Technology
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Modern cost-conscious dynamic systems incorporate knobs that allow run-time trade-offs between system metrics of interest. In these systems regular knob tuning to minimize costs while satisfying hard system constraints is an important aspect. Knob tuning is a combinatorial constrained nonlinear dynamic optimization problem with uncertainties and time-linkage. Hiding uncertainties under worst-case bounds, reacting after the fact, optimizing only the present, and applying static greedy heuristics are widely used problem simplification strategies to keep the design complexity and decision overhead low. Applying any of these will result in highly sub-optimal system realizations in the presence of nonlinearities. The more recently introduced System Scenarios methodology can only handle limited form of dynamics and nonlinearities. Existing predictive optimization approaches are far from optimal as they do not fully exploit the predictability of the system at hand. To bridge this gap, the authors propose the combined strategy of dynamic bounding and proactive system conditioning for the predicted likely future. This paper describes systematic principles to design low-overhead controllers for cost-effective hard constraint management. When applied to fine-grain performance scaling mode assignment problem in a video decoder design, proposed concepts resulted in more than 2x energy gains compared to state-of-the-art techniques.