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Performance Improvement of Processor Through Configurable Approximate Arithmetic Units in Multicore Systems
SAK Gharavi, S Safari - IEEE Access, 2024 - ieeexplore.ieee.org
Multicore systems are utilized in a wide range of applications, from embedded systems to
high-performance applications. Controlling power consumption while maximizing …
high-performance applications. Controlling power consumption while maximizing …
LCT-TL: Learning Classifier Table (LCT) with Transfer Learning for runtime SoC performance-power optimization
Learning classifier tables (LCTs) are lightweight and classifier-based reinforcement learning
building blocks in hardware that inherit the concepts of learning classifier systems. LCTs are …
building blocks in hardware that inherit the concepts of learning classifier systems. LCTs are …
EPIC-Q: E quivalent-P olicy I nvariant C omparison Enhanced Transfer Q-learning for Run-Time SoC Performance-Power Optimization
As power density becomes the main constraint of multicore systems, managing power
consumption using DVFS while providing the desired performance becomes increasingly …
consumption using DVFS while providing the desired performance becomes increasingly …