Deepthi Karkada
Deepthi Karkada
Verified email at intel.com
Title
Cited by
Cited by
Year
Efficient 8-bit quantization of transformer neural machine language translation model
A Bhandare, V Sripathi, D Karkada, V Menon, S Choi, K Datta, V Saletore
arXiv preprint arXiv:1906.00532, 2019
262019
Boosting deep learning training inference performance on intel xeon and intel xeon phi processors
V Saletore, D Karkada, V Sripathi, A Sankaranarayanan, K Datta
22018
RDG-Map: A Multimodal Corpus of Pedagogical Human-Agent Spoken Interactions.
M Paetzel, D Karkada, R Manuvinakurike
Proceedings of The 12th Language Resources and Evaluation Conference, 600-609, 2020
12020
Synchronization scheduler of distributed neural network training
A Procter, V Saletore, D Karkada, M Arunachalam
US Patent App. 15/704,668, 2019
12019
Workload Behavior Modeling and Prediction for Data Center Adaptation
RG Illikkal, SK Govindan, D Karkada, S Pal, PJ Holmes
US Patent App. 15/089,378, 2017
12017
Nontrivial Lexical Convergence in a Geography-Themed Game
A Bergqvist, R Manuvinakurike, D Karkada, M Paetzel
Proceedings of the 21th Annual Meeting of the Special Interest Group on …, 2020
2020
Automated resource usage configurations for deep learning neural network workloads on multi-generational computing architectures
M Arunachalam, K Datta, V Saletore, V Verma, D Karkada, V Sripathi, ...
US Patent App. 16/259,608, 2019
2019
Methods and apparatus for distributed training of a neural network
M Arunachalam, ATR Rajan, D Karkada, A Procter, V Saletore
US Patent App. 15/829,555, 2019
2019
Training Speech Recognition Models on HPC Infrastructure
D Karkada, VA Saletore
2018 IEEE/ACM Machine Learning in HPC Environments (MLHPC), 124-132, 2018
2018
Towards Understanding End-of-trip Instructions in a Taxi Ride Scenario
D Karkada, R Manuvinakurike, K Georgila
arXiv preprint arXiv:1807.03950, 2018
2018
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