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Sudarshan Srinivasan
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Question-Answering System Extracts Information on Injection Drug Use from Clinical Progress Notes


May 15, 2023
Maria Mahbub, Ian Goethert, Ioana Danciu, Kathryn Knight, Sudarshan Srinivasan, Suzanne Tamang, Karine Rozenberg-Ben-Dror, Hugo Solares, Susana Martins, Edmon Begoli, Gregory D. Peterson

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TACOS: Topology-Aware Collective Algorithm Synthesizer for Distributed Training


Apr 11, 2023
William Won, Midhilesh Elavazhagan, Sudarshan Srinivasan, Ajaya Durg, Swati Gupta, Tushar Krishna

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ASTRA-sim2.0: Modeling Hierarchical Networks and Disaggregated Systems for Large-model Training at Scale


Mar 24, 2023
William Won, Taekyung Heo, Saeed Rashidi, Srinivas Sridharan, Sudarshan Srinivasan, Tushar Krishna

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BioADAPT-MRC: Adversarial Learning-based Domain Adaptation Improves Biomedical Machine Reading Comprehension Task


Feb 26, 2022
Maria Mahbub, Sudarshan Srinivasan, Edmon Begoli, Gregory D Peterson

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Themis: A Network Bandwidth-Aware Collective Scheduling Policy for Distributed Training of DL Models


Oct 09, 2021
Saeed Rashidi, William Won, Sudarshan Srinivasan, Srinivas Sridharan, Tushar Krishna

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Exploring Multi-dimensional Hierarchical Network Topologies for Efficient Distributed Training of Trillion Parameter DL Models


Sep 24, 2021
William Won, Saeed Rashidi, Sudarshan Srinivasan, Tushar Krishna

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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

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* 14 pages, 14 figures 
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