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cs.LG2021
ANNETTE: Accurate Neural Network Execution Time Estimation with Stacked Models
Matthias Wess, Matvey Ivanov, Anvesh Nookala +3
With new accelerator hardware for DNN, the computing power for AI applications has increased rapidly. However, as DNN algorithms become more complex and optimized for specific appl…
cs.LG2020
MLComp: A Methodology for Machine Learning-based Performance Estimation and Adaptive Selection of Pareto-Optimal Compiler Optimization Sequences
Alessio Colucci, Dávid Juhász, Martin Mosbeck +6
Embedded systems have proliferated in various consumer and industrial applications with the evolution of Cyber-Physical Systems and the Internet of Things. These systems are subjec…