Ramanarayan Mohanty

Publication Activity (10 Years)

Years Active: 2016-2022
Publications (10 Years): 20

Top Topics

Neural Network Training

Dimensionality Reduction

Top Venues

IEEE Geosci. Remote. Sens. Lett.

Publications

Md. Vasimuddin, Ramanarayan Mohanty, Sanchit Misra, Sasikanth Avancha
DistGNN-MB: Distributed Large-Scale Graph Neural Network Training on x86 via Minibatch Sampling. CoRR (2022)
Evangelos Georganas, Dhiraj D. Kalamkar, Sasikanth Avancha, Menachem Adelman, Deepti Aggarwal, Cristina Anderson, Alexander Breuer, Jeremy Bruestle, Narendra Chaudhary, Abhisek Kundu, Denise Kutnick, Frank Laub, Vasimuddin Md, Sanchit Misra, Ramanarayan Mohanty, Hans Pabst, Brian Retford, Barukh Ziv, Alexander Heinecke
Tensor Processing Primitives: A Programming Abstraction for Efficiency and Portability in Deep Learning and HPC Workloads. Frontiers Appl. Math. Stat. 8 (2022)
Vasimuddin Md, Sanchit Misra, Guixiang Ma, Ramanarayan Mohanty, Evangelos Georganas, Alexander Heinecke, Dhiraj D. Kalamkar, Nesreen K. Ahmed, Sasikanth Avancha
DistGNN: scalable distributed training for large-scale graph neural networks. SC (2021)
Vasimuddin Md, Sanchit Misra, Guixiang Ma, Ramanarayan Mohanty, Evangelos Georganas, Alexander Heinecke, Dhiraj D. Kalamkar, Nesreen K. Ahmed, Sasikanth Avancha
DistGNN: Scalable Distributed Training for Large-Scale Graph Neural Networks. CoRR (2021)
Evangelos Georganas, Dhiraj D. Kalamkar, Sasikanth Avancha, Menachem Adelman, Cristina Anderson, Alexander Breuer, Narendra Chaudhary, Abhisek Kundu, Vasimuddin Md, Sanchit Misra, Ramanarayan Mohanty, Hans Pabst, Barukh Ziv, Alexander Heinecke
Tensor Processing Primitives: A Programming Abstraction for Efficiency and Portability in Deep Learning Workloads. CoRR (2021)
Evangelos Georganas, Dhiraj D. Kalamkar, Sasikanth Avancha, Menachem Adelman, Cristina Anderson, Alexander Breuer, Jeremy Bruestle, Narendra Chaudhary, Abhisek Kundu, Denise Kutnick, Frank Laub, Vasimuddin Md, Sanchit Misra, Ramanarayan Mohanty, Hans Pabst, Barukh Ziv, Alexander Heinecke
Tensor processing primitives: a programming abstraction for efficiency and portability in deep learning workloads. SC (2021)
Sasikanth Avancha, Vasimuddin Md, Sanchit Misra, Ramanarayan Mohanty
Deep Graph Library Optimizations for Intel(R) x86 Architecture. CoRR (2020)
Ramanarayan Mohanty, S. L. Happy, Aurobinda Routray
Spatial-Spectral Regularized Local Scaling Cut for Dimensionality Reduction in Hyperspectral Image Classification. IEEE Geosci. Remote. Sens. Lett. 16 (6) (2019)
Ramanarayan Mohanty, S. L. Happy, Aurobinda Routray
A Semisupervised Spatial Spectral Regularized Manifold Local Scaling Cut With HGF for Dimensionality Reduction of Hyperspectral Images. IEEE Trans. Geosci. Remote. Sens. 57 (6) (2019)
Ramanarayan Mohanty, S. L. Happy, Nilesh Suthar, Aurobinda Routray
A Trace Lasso Regularized L1-norm Graph Cut for Highly Correlated Noisy Hyperspectral Image. CoRR (2018)
Ramanarayan Mohanty, S. L. Happy, Aurobinda Routray
Spatial-Spectral Regularized Local Scaling Cut for Dimensionality Reduction in Hyperspectral Image Classification. CoRR (2018)
Ramanarayan Mohanty, S. L. Happy, Nilesh Suthar, Aurobinda Routray
A Trace Lasso Regularized Ll-norm Graph Cut for Highly Correlated Noisy Hyperspectral Image. EUSIPCO (2018)
Ramanarayan Mohanty, S. L. Happy, Aurobinda Routray
A Supervised Geometry-Aware Mapping Approach for Classification of Hyperspectral Images. IEEE Geosci. Remote. Sens. Lett. 15 (4) (2018)
Ramanarayan Mohanty, S. L. Happy, Aurobinda Routray
A Supervised Geometry-Aware Mapping Approach for Classification of Hyperspectral Images. CoRR (2018)
Ramanarayan Mohanty, S. L. Happy, Aurobinda Routray
A Semi-supervised Spatial Spectral Regularized Manifold Local Scaling Cut With HGF for Dimensionality Reduction of Hyperspectral Images. CoRR (2018)
Ramanarayan Mohanty, S. L. Happy, Aurobinda Routray
Graph Scaling Cut with L1-Norm for Classification of Hyperspectral Images. CoRR (2017)
S. L. Happy, Ramanarayan Mohanty, Aurobinda Routray
An effective feature selection method based on pair-wise feature proximity for high dimensional low sample size data. EUSIPCO (2017)
Ramanarayan Mohanty, S. L. Happy, Aurobinda Routray
Graph scaling cut with L1-norm for classification of hyperspectral images. EUSIPCO (2017)
S. L. Happy, Ramanarayan Mohanty, Aurobinda Routray
An Effective Feature Selection Method Based on Pair-Wise Feature Proximity for High Dimensional Low Sample Size Data. CoRR (2017)
Tapan Pradhan, Bibek Kabi, Ramanarayan Mohanty, Aurobinda Routray
Development of numerical linear algebra algorithms in dynamic fixed-point format: a case study of Lanczos tridiagonalization. Int. J. Circuit Theory Appl. 44 (6) (2016)