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Picture for Sudarshan Srinivasan

The Sensitivity of Word Embeddings-based Author Detection Models to Semantic-preserving Adversarial Perturbations


Feb 23, 2021
Jeremiah Duncan, Fabian Fallas, Chris Gropp, Emily Herron, Maria Mahbub, Paula Olaya, Eduardo Ponce, Tabitha K. Samuel, Daniel Schultz, Sudarshan Srinivasan, Maofeng Tang, Viktor Zenkov, Quan Zhou, Edmon Begoli


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Optimizing Deep Learning Recommender Systems' Training On CPU Cluster Architectures


May 10, 2020
Dhiraj Kalamkar, Evangelos Georganas, Sudarshan Srinivasan, Jianping Chen, Mikhail Shiryaev, Alexander Heinecke


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K-TanH: Hardware Efficient Activations For Deep Learning


Oct 21, 2019
Abhisek Kundu, Sudarshan Srinivasan, Eric C. Qin, Dhiraj Kalamkar, Naveen K. Mellempudi, Dipankar Das, Kunal Banerjee, Bharat Kaul, Pradeep Dubey

* 14 pages, 14 figures 

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High Performance Scalable FPGA Accelerator for Deep Neural Networks


Aug 29, 2019
Sudarshan Srinivasan, Pradeep Janedula, Saurabh Dhoble, Sasikanth Avancha, Dipankar Das, Naveen Mellempudi, Bharat Daga, Martin Langhammer, Gregg Baeckler, Bharat Kaul


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A Study of BFLOAT16 for Deep Learning Training


Jun 13, 2019
Dhiraj Kalamkar, Dheevatsa Mudigere, Naveen Mellempudi, Dipankar Das, Kunal Banerjee, Sasikanth Avancha, Dharma Teja Vooturi, Nataraj Jammalamadaka, Jianyu Huang, Hector Yuen, Jiyan Yang, Jongsoo Park, Alexander Heinecke, Evangelos Georganas, Sudarshan Srinivasan, Abhisek Kundu, Misha Smelyanskiy, Bharat Kaul, Pradeep Dubey


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Mixed Precision Training With 8-bit Floating Point


May 29, 2019
Naveen Mellempudi, Sudarshan Srinivasan, Dipankar Das, Bharat Kaul


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