Search Results for author: Stephan Eidenbenz

Found 5 papers, 1 papers with code

Process Modeling, Hidden Markov Models, and Non-negative Tensor Factorization with Model Selection

no code implementations3 Oct 2022 Erik Skau, Andrew Hollis, Stephan Eidenbenz, Kim Rasmussen, Boian Alexandrov

Process monitoring allows users to gauge the involvement of an organization in an industrial process or predict the degradation or aging of machine parts in processes taking place at a remote location.

Model Selection

BB-ML: Basic Block Performance Prediction using Machine Learning Techniques

no code implementations16 Feb 2022 Shamminuj Aktar, Hamdy Abdelkhalik, Nazmul Haque Turja, Yehia Arafa, Atanu Barai, Nishant Panda, Gopinath Chennupati, Nandakishore Santhi, Stephan Eidenbenz, Abdel-Hameed Badawy

In this work, we extrapolate the basic block execution counts of GPU applications for large inputs sizes from the counts of smaller input sizes of the same application.

BIG-bench Machine Learning

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