Congratulations to William Song on successfully defending his thesis “Managing Lifetime Reliability, Performance, and Power Tradeoffs in Multicore Microarchitectures”!
William Song successfully defended his thesis “Managing Lifetime Reliability, Performance, and Power Tradeoffs in Multicore Microarchitectures” on Oct 29, 2015. Congratulations Dr. Song!
The objective of this research is to characterize and manage lifetime reliabil- ity, microarchitectural performance, and power tradeoffs in multicore processors. This dissertation is comprised of three research themes; 1) modeling and simulation method of interacting multicore processor physics, 2) characterization and management of perfor- mance and lifetime reliability tradeoff, and 3) extending Amdahl’s Law for understanding lifetime reliability, performance, and energy efficiency of heterogeneous processors. With continued technology scaling, processor operations are increasingly dominated by multiple distinct physical phenomena and their coupled interactions. Understanding these behaviors requires the modeling of complex physical interactions. This dissertation first presents a novel simulation framework that orchestrates interactions between multiple physical mod- els and microarchitecture simulators to enable research explorations at the intersection of application, microarchitecture, energy, power, thermal, and reliability. Using this frame- work, workload-induced variation of device degradation is characterized, and its impacts on processor lifetime and performance are analyzed. This research introduces a new met- ric to quantify performance-reliability tradeoff. Lastly, the theoretical models of hetero- geneous multicore processors are proposed for understanding performance, energy effi- ciency, and lifetime reliability consequences. It is shown that these system metrics are gov- erned by Amdahl’s Law and correlated as a function of processor composition, scheduling method, and Amdahl’s scaling factor. This dissertation highlights the importance of multi- dimensional analysis and extends the scope of microarchitectural studies by incorporating the physical aspects of processor operations and designs.
