Enhancing Performance in Scientific Applications with Energy and Resilience Constraints from Modern Architectures
An overarching goal in the scientific computing field is maximizing performance; however, on modern architectures, performance can be constrained by energy efficiency and resilience. Enhancing these attributes, however, increasingly becomes a difficult task. Despite a significant body of work that has been developed in this field to enhance these attributes, implementing a high-performing solution is still often difficult due to complex computation patterns and environmental constraints, i.e. those imposed by hardware, software, and run-time configurations. This dissertation provides a feasibility ...
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