Ramanarayan Mohanty

20 papers A 2Journal 15Unranked 3

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