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ORCIDRavi S. Nanjundiah
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2020 – today
- 2023
[j11]Bipin Kumar, Kaustubh Atey, Bhupendra Bahadur Singh
, Rajib Chattopadhyay, Nachiketa Acharya, Manmeet Singh, Ravi S. Nanjundiah, A. Suryachandra Rao:
On the modern deep learning approaches for precipitation downscaling. Earth Sci. Informatics 16(2): 1459-1472 (2023)- 2022
- [i4]Bipin Kumar, Kaustubh Atey, Bhupendra Bahadur Singh, Rajib Chattopadhyay, Nachiketa Acharya, Manmeet Singh, Ravi S. Nanjundiah, A. Suryachandra Rao:
On the modern deep learning approaches for precipitation downscaling. CoRR abs/2207.00808 (2022) - 2021
- [j10]Bipin Kumar, Matt Rehme, Neethi Suresh, Nihanth W. Cherukuru, Stanislaw Jaroszynski, Samual Li, Scott Pearse, Tim Scheitlin, A. Suryachandra Rao, Ravi S. Nanjundiah:
Optimization of DNS code and visualization of entrainment and mixing phenomena at cloud edges. Parallel Comput. 107: 102811 (2021) - [i3]Manmeet Singh, Bipin Kumar, Dev Niyogi, A. Suryachandra Rao, Sukhpal Singh Gill, Rajib Chattopadhyay, Ravi S. Nanjundiah:
Deep learning for improved global precipitation in numerical weather prediction systems. CoRR abs/2106.12045 (2021) - [i2]Manmeet Singh, Bipin Kumar, Rajib Chattopadhyay, K. Amarjyothi, Anup K. Sutar, Sukanta Roy, A. Suryachandra Rao, Ravi S. Nanjundiah:
Machine learning for Earth System Science (ESS): A survey, status and future directions for South Asia. CoRR abs/2112.12966 (2021) - 2020
- [c10]Moumita Saha, Ravi S. Nanjundiah, Claire Monteleoni:
CNN-Based Forecasting of Intraseasonal Mean and Active/Break Spells for Indian Summer Monsoon. CI 2020: 15-21
2010 – 2019
- 2019
- [c9]Saicharan Viswanath, Moumita Saha, Pabitra Mitra, Ravi S. Nanjundiah:
Deep Learning Based LSTM and SeqToSeq Models to Detect Monsoon Spells of India. ICCS (2) 2019: 204-218 - 2017
- [j9]Amlesh Kashyap, Sathish S. Vadhiyar, Ravi S. Nanjundiah, P. N. Vinayachandran:
Asynchronous and synchronous models of executions on Intel® Xeon Phi™ coprocessor systems for high performance of long wave radiation calculations in atmosphere models. J. Parallel Distributed Comput. 102: 199-212 (2017) - [c8]Srinivasan Ramesh, Sathish Vadhiyar, Ravi S. Nanjundiah, P. N. Vinayachandran:
Deep and Shallow Convections in Atmosphere Models on Intel® Xeon Phi™ Coprocessor Systems. HPCC/SmartCity/DSS 2017: 316-323 - [c7]Moumita Saha, Pabitra Mitra, Ravi S. Nanjundiah:
Prediction of Active and Break Spells of Indian Summer Monsoon Using Linear Discriminant Analysis. ICAPR 2017: 1-6 - [i1]Srinivasan Ramesh, Sathish Vadhiyar, Ravi S. Nanjundiah, P. N. Vinayachandran:
Deep and Shallow convections in Atmosphere Models on Intel Xeon Phi Coprocessor Systems. CoRR abs/1711.00289 (2017) - 2016
- [c6]T. M. Aketh, Sathish Vadhiyar, P. N. Vinayachandran, Ravi S. Nanjundiah:
High Performance Horizontal Diffusion Calculations in Ocean Models on Intel® Xeon Phi™ Coprocessor Systems. HiPC 2016: 203-211 - [c5]Moumita Saha, Pabitra Mitra, Ravi S. Nanjundiah:
Predictor Discovery for Early-late Indian Summer Monsoon Using Stacked Autoencoder. ICCS 2016: 565-576 - 2013
- [j8]Harish Doraiswamy, Vijay Natarajan, Ravi S. Nanjundiah:
An Exploration Framework to Identify and Track Movement of Cloud Systems. IEEE Trans. Vis. Comput. Graph. 19(12): 2896-2905 (2013) - [c4]Sai Kiran Korwar, Sathish S. Vadhiyar, Ravi S. Nanjundiah:
GPU-enabled efficient executions of radiation calculations in climate modeling. HiPC 2013: 353-361 - [c3]Preeti Malakar, Vijay Natarajan, Sathish S. Vadhiyar, Ravi S. Nanjundiah:
A Diffusion-Based Processor Reallocation Strategy for Tracking Multiple Dynamically Varying Weather Phenomena. ICPP 2013: 50-59 - 2012
- [j7]Sivagama Sundari Murugavel, Sathish S. Vadhiyar, Ravi S. Nanjundiah:
Large improvements in application throughput of long-running multi-component applications using batch grids. Concurr. Comput. Pract. Exp. 24(15): 1775-1791 (2012) - [j6]S. Janakiraman, Ravi S. Nanjundiah, A. S. Vasudeva Murthy:
A novel variable resolution global spectral method on the sphere. J. Comput. Phys. 231(7): 2794-2810 (2012) - 2011
- [j5]Suthambhara Nagaraj, Vijay Natarajan, Ravi S. Nanjundiah:
A Gradient-Based Comparison Measure for Visual analysis of Multifield Data. Comput. Graph. Forum 30(3): 1101-1110 (2011) - [j4]Sivagama Sundari Murugavel, Sathish S. Vadhiyar, Ravi S. Nanjundiah:
Adaptive Executions of Multi-Physics Coupled Applications on Batch Grids. J. Grid Comput. 9(4): 455-478 (2011) - 2010
- [j3]Sundari M. Sivagama, Sathish S. Vadhiyar, Ravi S. Nanjundiah:
Grids with multiple batch systems for performance enhancement of multi-component and parameter sweep parallel applications. Future Gener. Comput. Syst. 26(2): 217-227 (2010) - [c2]Sundari M. Sivagama, Sathish S. Vadhiyar, Ravi S. Nanjundiah:
Morco: middleware framework for long-running multi-component applications on batch grids. HPDC 2010: 328-331
2000 – 2009
- 2009
- [j2]Sundari M. Sivagama, Sathish S. Vadhiyar, Ravi S. Nanjundiah:
Dynamic Component Extension: a Strategy for Performance Improvement in Multicomponent Applications. Int. J. High Perform. Comput. Appl. 23(1): 84-98 (2009) - 2008
- [j1]V. Santhosh Kumar, Ravi S. Nanjundiah, Matthew J. Thazhuthaveetil, R. Govindarajan:
Impact of message compression on the scalability of an atmospheric modeling application on clusters. Parallel Comput. 34(1): 1-16 (2008)
1990 – 1999
- 1998
- [c1]Ravi S. Nanjundiah:
Strategies for parallel implementation of a global spectral atmospheric general circulation model. HiPC 1998: 452-458
Coauthor Index
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