Publications

This is our catalog of publications authored by IBM researchers, in collaboration with the global research community. It’s an ever-growing body of work that shows why IBM is one of the most important contributors to modern computing.

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17 results for Matthias Boehm

Resource elasticity for large-scale machine learning
- - Botong Huang
  - Matthias Boehm
  - et al.
- 2015
- SIGMOD 2015
On optimizing machine learning workloads via kernel fusion
- - Arash Ashari
  - Shirish Tatikonda
  - et al.
- 2015
- PPoPP 2015
Large scale discriminative metric learning
- - Peter D. Kirchner
  - Matthias Boehm
  - et al.
- 2014
- IPDPSW 2014
Data management in the MIRABEL smart grid system
- - Matthias Boehm
  - Lars Dannecker
  - et al.
- 2012
- EDBT/ICDT-WS 2012
Compressed linear algebra for declarative large-scale machine learning
- - Ahmed Elgohary
  - Matthias Boehm
  - et al.
- 2019
- CACM
Compressed linear algebra for large-scale machine learning
- - Ahmed Elgohary
  - Matthias Boehm
  - et al.
- 2017
- VLDB Journal
Scaling machine learning via compressed linear algebra
- - Ahmed Elgohary
  - Matthias Boehm
  - et al.
- 2017
- SIGMOD Record