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Ramanarayan Mohanty

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

Nov 11, 2022
Md Vasimuddin, Ramanarayan Mohanty, Sanchit Misra, Sasikanth Avancha

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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

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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

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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

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