Search Results for author: Stephan Eidenbenz

Found 5 papers, 2 papers with code

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

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

We extrapolate the basic block execution counts of GPU applications and use them for predicting the performance for large input sizes from the counts of smaller input sizes.

BIG-bench Machine Learning

Distributed Out-of-Memory NMF on CPU/GPU Architectures

1 code implementation19 Feb 2022 Ismael Boureima, Manish Bhattarai, Maksim Eren, Erik Skau, Philip Romero, Stephan Eidenbenz, Boian Alexandrov

In this work, we extend NMFk by adding support for dense and sparse matrix operation on multi-node, multi-GPU systems.

Dimensionality Reduction Model Selection

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

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