Compiling machine learning algorithms with systemML
- M. Boehm
- D. Burdick
- et al.
- 2013
- SoCC 2013
Publications
Date
Featured collections
Popular topics
12 results for Shirish Tatikonda
SystemML: Declarative machine learning on Spark
- Matthias Boehm
- Michael W. Dusenberry
- et al.
- 2015
- VLDB
Hybrid parallelization strategies for large-scale machine learning in systemML
- Matthias Boehm
- Shirish Tatikonda
- et al.
- 2014
- VLDB
From "think like a vertex" to "think like a graph"
- Yuanyuan Tiany
- Andrey Balminx
- et al.
- 2013
- VLDB
SPOOF: Sum-product optimization and operator fusion for large-scale machine learning
- Tarek Elgamal
- Shangyu Luo
- et al.
- 2017
- CIDR 2017
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
Hash in a flash: Hash tables for flash devices
- Tyler Clemons
- S.M. Faisal
- et al.
- 2013
- Big Data 2013
Scalable and numerically stable descriptive statistics in SystemML
- Yuanyuan Tian
- Shirish Tatikonda
- et al.
- 2012
- ICDE 2012
Posting list intersection on multicore architectures
- Shirish Tatikonda
- B. Barla Cambazoglu
- et al.
- 2011
- SIGIR 2011