Effective Elastic Scaling of Deep Learning Workloads
- Vaibhav Saxena
- Jayaram Kr Kallapalayam Radhakrishnan
- et al.
- 2020
- MASCOTS 2020
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11 results for Vaibhav Saxena
A divide and conquer strategy for scaling weather simulations with multiple regions of interest
- Preeti Malakar
- Thomas George
- et al.
- 2012
- SC 2012
Balancing Stragglers Against Staleness in Distributed Deep Learning
- Saurav Basu
- Vaibhav Saxena
- et al.
- 2018
- HiPC 2018
Efficient Training of Convolutional Neural Nets on Large Distributed Systems
- Dheeraj Sreedhar
- Vaibhav Saxena
- et al.
- 2018
- CLUSTER 2018
Architecture aware resource allocation for structured grid applications: Flood modelling case
- Vaibhav Saxena
- Thomas George
- et al.
- 2015
- CCGrid 2015
Evaluation and enhancement of weather application performance on Blue Gene/Q
- Gurbinder Singh Gill
- Vaibhav Saxena
- et al.
- 2013
- HiPC 2013
Multifrontal factorization of sparse SPD matrices on GPUs
- Thomas George
- Vaibhav Saxena
- et al.
- 2011
- IPDPS 2011
Performance evaluation and optimization of random memory access on multicores with high productivity
- Vaibhav Saxena
- Yogish Sabharwal
- et al.
- 2010
- HiPC 2010
A divide and conquer strategy for scaling weather simulations with multiple regions of interest
- Preeti Malakar
- Thomas George
- et al.
- 2013
- Scientific Programming
Scaling Granite Code Models to 128K Context
- Matthew Stallone
- Vaibhav Saxena
- et al.
- 2024
- arXiv