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Compilation Optimizations To Enhance Resilience Of Big Data Programs And Quantum Processors, Travis D. Lecompte
Compilation Optimizations To Enhance Resilience Of Big Data Programs And Quantum Processors, Travis D. Lecompte
LSU Doctoral Dissertations
Modern computers can experience a variety of transient errors due to the surrounding environment, known as soft faults. Although the frequency of these faults is low enough to not be noticeable on personal computers, they become a considerable concern during large-scale distributed computations or systems in more vulnerable environments like satellites. These faults occur as a bit flip of some value in a register, operation, or memory during execution. They surface as either program crashes, hangs, or silent data corruption (SDC), each of which can waste time, money, and resources. Hardware methods, such as shielding or error correcting memory (ECM), …
Transitioning From Traditional In-Person Studio-Based Education Of Apparel Design Courses To Online Education During The Covid-19 Pandemic, Divya Desai
LSU Doctoral Dissertations
Due to the COVID-19 pandemic and subsequent lockdowns many post-secondary educational institutions all-around the world, including the USA, were forced to transition their teaching methods from a traditional in-person to an online teaching format starting in the spring of 2020. This research however is focused on the transitioning of university-level studio-based Apparel Design (AD) courses to an online teaching format during the spring and fall 2020 semesters. Teaching AD courses that are studio-based and that particularly require hands-on skills like hand rendering, draping, sewing, or pattern drafting, are challenging to be taught online as they require in person step-by-step guidance …