Jey Kottalam
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
3
Venues
3
Active years
2013–2018
Best venue rank
A*
Where they publish
Papers
3 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2018 | KDD | Accelerating Large-Scale Data Analysis by Offloading to High-Performance Computing Libraries using Alchemist. | Alex Gittens, Kai Rothauge, Shusen Wang, Michael W. Mahoney, Lisa Gerhardt, Prabhat, Jey Kottalam, Michael F. Ringenburg, Kristyn J. Maschhoff |
| 2015 | SIGMOD | Rethinking Data-Intensive Science Using Scalable Analytics Systems. | Frank Austin Nothaft, Matt Massie, Timothy Danford, Zhao Zhang, Uri Laserson, Carl Yeksigian, Jey Kottalam, Arun Ahuja, Jeff Hammerbacher, Michael D. Linderman, Michael J. Franklin, Anthony D. Joseph, David A. Patterson |
| 2013 | ICDM | MLI: An API for Distributed Machine Learning. | Evan Randall Sparks, Ameet Talwalkar, Virginia Smith, Jey Kottalam, Xinghao Pan, Joseph E. Gonzalez, Michael J. Franklin, Michael I. Jordan, Tim Kraska |