Scaling machine learning via compressed linear algebra
- Ahmed Elgohary
- Matthias Boehm
- et al.
- 2017
- SIGMOD Record
Paper
Publications
48 results for Berthold Reinwald
SPOOF: Sum-product optimization and operator fusion for large-scale machine learning
- Tarek Elgamal
- Shangyu Luo
- et al.
- 2017
- CIDR 2017
Conference paperCompressed linear algebra for largescale machine learning
- Ahmed Elgohary
- Matthias Boehm
- et al.
- 2016
- VLDB 2016
Conference paperResource elasticity for large-scale machine learning
- Botong Huang
- Matthias Boehm
- et al.
- 2015
- SIGMOD 2015
Conference paperEfficient sample generation for scalable meta learning
- Sebastian Schelter
- Juan Soto
- et al.
- 2015
- ICDE 2015
Conference paperOn optimizing machine learning workloads via kernel fusion
- Arash Ashari
- Shirish Tatikonda
- et al.
- 2015
- PPoPP 2015
Conference paperSystemML: Declarative machine learning on Spark
- Matthias Boehm
- Michael W. Dusenberry
- et al.
- 2015
- VLDB
PaperLarge scale discriminative metric learning
- Peter D. Kirchner
- Matthias Boehm
- et al.
- 2014
- IPDPSW 2014
Conference paperHybrid parallelization strategies for large-scale machine learning in systemML
- Matthias Boehm
- Shirish Tatikonda
- et al.
- 2014
- VLDB
PaperCompiling machine learning algorithms with systemML
- M. Boehm
- D. Burdick
- et al.
- 2013
- SoCC 2013
Conference paper