no code implementations • 4 May 2023 • Julian Kunkel, Christian Boehme, Jonathan Decker, Fabrizio Magugliani, Dirk Pleiter, Bastian Koller, Karthee Sivalingam, Sabri Pllana, Alexander Nikolov, Mujdat Soyturk, Christian Racca, Andrea Bartolini, Adrian Tate, Berkay Yaman
In this paper, we describe the DECICE framework and architecture.
no code implementations • 16 Nov 2022 • Iryna Talamanova, Sabri Pllana
Air pollution is a worldwide issue that affects the lives of many people in urban areas.
no code implementations • 2 Jun 2021 • Suejb Memeti, Sabri Pllana
In this paper, we present a performance and energy aware approach that combines AI planning heuristics for parameter space exploration with a machine learning model for performance and energy evaluation to determine a near-optimal system configuration.
no code implementations • 4 Jun 2019 • Sabri Pllana, Suejb Memeti, Joanna Kolodziej
Therefore, we need to apply methods for intelligent exploration of cabinet configuration space that enable to find a near-optimal configuration without evaluation of all possible configurations.
no code implementations • 4 Jun 2019 • Andre Viebke, Sabri Pllana, Suejb Memeti, Joanna Kolodziej
We evaluate the prediction accuracy of performance models in the context of training three different convolutional neural network architectures on the Intel Xeon Phi.
no code implementations • 1 Sep 2018 • Yasser Alsouda, Sabri Pllana, Arianit Kurti
We explore the parameter space of support vector machine and k-nearest neighbors algorithms to estimate the optimal parameter values for classification of sound samples in the dataset under study.
no code implementations • 25 Feb 2017 • Andre Viebke, Suejb Memeti, Sabri Pllana, Ajith Abraham
In this paper, we present our parallelization scheme for training convolutional neural networks (CNN) named Controlled Hogwild with Arbitrary Order of Synchronization (CHAOS).