Scaling Granite Code Models to 128K Context
- Matthew Stallone
- Vaibhav Saxena
- et al.
- 2024
- arXiv
Paper
Publications
11 results for Vaibhav Saxena
Effective Elastic Scaling of Deep Learning Workloads
- Vaibhav Saxena
- Jayaram Kr Kallapalayam Radhakrishnan
- et al.
- 2020
- MASCOTS 2020
Conference paperBalancing Stragglers Against Staleness in Distributed Deep Learning
- Saurav Basu
- Vaibhav Saxena
- et al.
- 2018
- HiPC 2018
Conference paperEfficient Training of Convolutional Neural Nets on Large Distributed Systems
- Dheeraj Sreedhar
- Vaibhav Saxena
- et al.
- 2018
- CLUSTER 2018
Conference paperArchitecture aware resource allocation for structured grid applications: Flood modelling case
- Vaibhav Saxena
- Thomas George
- et al.
- 2015
- CCGrid 2015
Conference paperEvaluation and enhancement of weather application performance on Blue Gene/Q
- Gurbinder Singh Gill
- Vaibhav Saxena
- et al.
- 2013
- HiPC 2013
Conference paperEnabling high-resolution forecasting of severe weather and flooding events in Rio de Janeiro
- L.A. Treinish
- A.P. Praino
- et al.
- 2013
- IBM J. Res. Dev
PaperA divide and conquer strategy for scaling weather simulations with multiple regions of interest
- Preeti Malakar
- Thomas George
- et al.
- 2013
- Scientific Programming
PaperA divide and conquer strategy for scaling weather simulations with multiple regions of interest
- Preeti Malakar
- Thomas George
- et al.
- 2012
- SC 2012
Conference paperMultifrontal factorization of sparse SPD matrices on GPUs
- Thomas George
- Vaibhav Saxena
- et al.
- 2011
- IPDPS 2011
Conference paper