Alert button
Picture for Kornilios Kourtis

Kornilios Kourtis

Alert button

Compiling Neural Networks for a Computational Memory Accelerator

Mar 05, 2020
Kornilios Kourtis, Martino Dazzi, Nikolas Ioannou, Tobias Grosser, Abu Sebastian, Evangelos Eleftheriou

Figure 1 for Compiling Neural Networks for a Computational Memory Accelerator
Figure 2 for Compiling Neural Networks for a Computational Memory Accelerator
Figure 3 for Compiling Neural Networks for a Computational Memory Accelerator
Viaarxiv icon

Addressing Algorithmic Bottlenecks in Elastic Machine Learning with Chicle

Sep 11, 2019
Michael Kaufmann, Kornilios Kourtis, Celestine Mendler-Dünner, Adrian Schüpbach, Thomas Parnell

Figure 1 for Addressing Algorithmic Bottlenecks in Elastic Machine Learning with Chicle
Figure 2 for Addressing Algorithmic Bottlenecks in Elastic Machine Learning with Chicle
Figure 3 for Addressing Algorithmic Bottlenecks in Elastic Machine Learning with Chicle
Figure 4 for Addressing Algorithmic Bottlenecks in Elastic Machine Learning with Chicle
Viaarxiv icon

Elastic CoCoA: Scaling In to Improve Convergence

Nov 06, 2018
Michael Kaufmann, Thomas Parnell, Kornilios Kourtis

Figure 1 for Elastic CoCoA: Scaling In to Improve Convergence
Figure 2 for Elastic CoCoA: Scaling In to Improve Convergence
Figure 3 for Elastic CoCoA: Scaling In to Improve Convergence
Figure 4 for Elastic CoCoA: Scaling In to Improve Convergence
Viaarxiv icon

Parallel training of linear models without compromising convergence

Nov 05, 2018
Nikolas Ioannou, Celestine Dünner, Kornilios Kourtis, Thomas Parnell

Figure 1 for Parallel training of linear models without compromising convergence
Figure 2 for Parallel training of linear models without compromising convergence
Figure 3 for Parallel training of linear models without compromising convergence
Figure 4 for Parallel training of linear models without compromising convergence
Viaarxiv icon