Ramanarayan Mohanty

According to our database, Ramanarayan Mohanty authored at least 15 papers between 2016 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

Tensor Processing Primitives: A Programming Abstraction for Efficiency and Portability in Deep Learning and HPC Workloads.

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, Md. Vasimuddin, Sanchit Misra, Ramanarayan Mohanty, Hans Pabst, Brian Retford, Barukh Ziv, Alexander Heinecke

Frontiers Appl. Math. Stat., 2022

DistGNN-MB: Distributed Large-Scale Graph Neural Network Training on x86 via Minibatch Sampling.

Md. Vasimuddin, Ramanarayan Mohanty, Sanchit Misra, Sasikanth Avancha

CoRR, 2022

2021

Tensor Processing Primitives: A Programming Abstraction for Efficiency and Portability in Deep Learning Workloads.

Evangelos Georganas, Dhiraj D. Kalamkar, Sasikanth Avancha, Menachem Adelman, Cristina Anderson, Alexander Breuer, Narendra Chaudhary, Abhisek Kundu, Md. Vasimuddin, Sanchit Misra, Ramanarayan Mohanty, Hans Pabst, Barukh Ziv, Alexander Heinecke

CoRR, 2021

DistGNN: scalable distributed training for large-scale graph neural networks.

Md. Vasimuddin, Sanchit Misra, Guixiang Ma, Ramanarayan Mohanty, Evangelos Georganas, Alexander Heinecke, Dhiraj D. Kalamkar, Nesreen K. Ahmed, Sasikanth Avancha

Proceedings of the International Conference for High Performance Computing, 2021

Tensor processing primitives: a programming abstraction for efficiency and portability in deep learning workloads.

Evangelos Georganas, Dhiraj D. Kalamkar, Sasikanth Avancha, Menachem Adelman, Cristina Anderson, Alexander Breuer, Jeremy Bruestle, Narendra Chaudhary, Abhisek Kundu, Denise Kutnick, Frank Laub, Md. Vasimuddin, Sanchit Misra, Ramanarayan Mohanty, Hans Pabst, Barukh Ziv, Alexander Heinecke

Proceedings of the International Conference for High Performance Computing, 2021

2020

Deep Graph Library Optimizations for Intel(R) x86 Architecture.

Sasikanth Avancha, Md. Vasimuddin, Sanchit Misra, Ramanarayan Mohanty

CoRR, 2020

2019

A Semisupervised Spatial Spectral Regularized Manifold Local Scaling Cut With HGF for Dimensionality Reduction of Hyperspectral Images.

Ramanarayan Mohanty, S. L. Happy, Aurobinda Routray

IEEE Trans. Geosci. Remote. Sens., 2019

Spatial-Spectral Regularized Local Scaling Cut for Dimensionality Reduction in Hyperspectral Image Classification.

Ramanarayan Mohanty, S. L. Happy, Aurobinda Routray

IEEE Geosci. Remote. Sens. Lett., 2019

2018

A Supervised Geometry-Aware Mapping Approach for Classification of Hyperspectral Images.

Ramanarayan Mohanty, S. L. Happy, Aurobinda Routray

IEEE Geosci. Remote. Sens. Lett., 2018

A Semi-supervised Spatial Spectral Regularized Manifold Local Scaling Cut With HGF for Dimensionality Reduction of Hyperspectral Images.

Ramanarayan Mohanty, S. L. Happy, Aurobinda Routray

CoRR, 2018

A Trace Lasso Regularized L1-norm Graph Cut for Highly Correlated Noisy Hyperspectral Image.

Ramanarayan Mohanty, S. L. Happy, Nilesh Suthar, Aurobinda Routray

CoRR, 2018

A Trace Lasso Regularized Ll-norm Graph Cut for Highly Correlated Noisy Hyperspectral Image.

Ramanarayan Mohanty, S. L. Happy, Nilesh Suthar, Aurobinda Routray

Proceedings of the 26th European Signal Processing Conference, 2018

2017

Graph scaling cut with L1-norm for classification of hyperspectral images.

Ramanarayan Mohanty, S. L. Happy, Aurobinda Routray

Proceedings of the 25th European Signal Processing Conference, 2017

An effective feature selection method based on pair-wise feature proximity for high dimensional low sample size data.

S. L. Happy, Ramanarayan Mohanty, Aurobinda Routray

Proceedings of the 25th European Signal Processing Conference, 2017

2016

Development of numerical linear algebra algorithms in dynamic fixed-point format: a case study of Lanczos tridiagonalization.

Tapan Pradhan, Bibek Kabi, Ramanarayan Mohanty, Aurobinda Routray

Int. J. Circuit Theory Appl., 2016