Efficient Use of Limited-Memory Accelerators for Linear Learning on Heterogeneous Systems
By Celestine Mendler-Dünner, Thomas Parnell, Martin Jaggi. 2017
17 citations recorded by the source corpus.
Subfields: Efficiency & Compression
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Efficiency & Compression
- Virginia Smith
- Simon Lacoste-Julien
- Rémi Le Priol
- Alexandre Piché
- Michael I. Jordan
- Martin Jaggi
- Sebastian U. Stich
- Sai Praneeth Karimireddy
Citations in the corpus
- Adaptive Stochastic Dual Coordinate Ascent for Conditional Random Fields (2017, methodology): “Dünner et al. (2017) recently analyzed a general adaptive sampling scheme for approximate block coordinate ascent that generalizes SDCA.”
- CoCoA: A General Framework for Communication-Efficient Distributed Optimization (2016, background): “, 2017), computing over heterogeneous systems (Dünner et al., 2017), second-order algorithm extensions (Gargiani, 2017; Lee and Chang, 2017; Dünner et al.”