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DistGNN: Scalable Distributed Training for Large-Scale Graph Neural Networks


Apr 16, 2021
Vasimuddin Md, Sanchit Misra, Guixiang Ma, Ramanarayan Mohanty, Evangelos Georganas, Alexander Heinecke, Dhiraj Kalamkar, Nesreen K. Ahmed, Sasikanth Avancha


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


Apr 14, 2021
Evangelos Georganas, Dhiraj 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


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Deep Graph Library Optimizations for Intel(R) x86 Architecture


Jul 13, 2020
Sasikanth Avancha, Vasimuddin Md, Sanchit Misra, Ramanarayan Mohanty


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


Dec 07, 2018
Ramanarayan Mohanty, S L Happy, Aurobinda Routray

* IEEE Geoscience and Remote Sensing Letters, 2018 
* arXiv admin note: text overlap with arXiv:1811.08223 

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


Nov 20, 2018
Ramanarayan Mohanty, SL Happy, Aurobinda Routray

* IEEE Transaction on Geoscience and Remote Sensing, 2018 

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


Jul 22, 2018
Ramanarayan Mohanty, S L Happy, Nilesh Suthar, Aurobinda Routray


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


Jul 07, 2018
Ramanarayan Mohanty, S L Happy, Aurobinda Routray

* IEEE Geoscience and Remote Sensing Letters, Volume-15, Issue-4, Pages-582-586, 27 February 2018 

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Graph Scaling Cut with L1-Norm for Classification of Hyperspectral Images


Sep 09, 2017
Ramanarayan Mohanty, S L Happy, Aurobinda Routray

* European Signal Processing Conference 2017 

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