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cs.DS2026
Parametrized Exact Hardware-Software Partitioning
Cameron Ibrahim, S M Ferdous, Erdal Mutlu +2
When optimizing computing architecture for specific computationally intensive tasks, such as evaluating or training a neural network, it is important to identify what computational…
cs.LG2026
Prediction of Runtime Parameters of Parallel Chemistry Applications via Active and Generative Learning
Tanzila Tabassum, Omer Subasi, Ajay Panyala +5
In this work, we develop two main Machine Learning based approaches to predict the runtime parameters of highly scalable parallel chemistry computations.These approaches employ act…