UMDuluth-CS8761 at SemEval-2018 Task9: Hypernym Discovery using Hearst Patterns, Co-occurrence frequencies and Word Embeddings. - Arshia Zernab Hassan; Manikya Swathi Vallabhajosyula; Ted Pedersen (SemEval@NAACL-HLT, 2018)

UMDuluth-CS8761 at SemEval-2018 Task 9: Hypernym Discovery using Hearst Patterns, Co-occurrence frequencies and Word Embeddings. - Arshia Zernab Hassan; Manikya Swathi Vallabhajosyula; Ted Pedersen (CoRR, 2018)

Establishing a Generalizable Framework for Generating Cost-Aware Training Data and Building Unique Context-Aware Walltime Prediction Regression Models. - Manikya Swathi Vallabhajosyula; Rajiv Ramnath (ISPA/BDCloud/SocialCom/SustainCom, 2022)

Towards Practical, Generalizable Machine-Learning Training Pipelines to build Regression Models for Predicting Application Resource Needs on HPC Systems. - Manikya Swathi Vallabhajosyula; Rajiv Ramnath (PEARC, 2022)

Insights from the HARP Framework: Using an AI-Driven Approach for Efficient Resource Allocation in HPC Scientific Workflows. - Manikya Swathi Vallabhajosyula; Rajiv Ramnath (PEARC, 2023)

Towards Characterizing DNNs to Estimate Training Time using HARP (HPC Application Resource (runtime) Predictor. - Manikya Swathi Vallabhajosyula; Rajiv Ramnath (PEARC, 2023)

Reference Implementation of Smart Scheduler: A CI-Aware, AI-Driven Scheduling Framework for HPC Workloads. - Manikya Swathi Vallabhajosyula; Sandeep Satish Budhya; Rajiv Ramnath (PEARC, 2024)

Orchestrating a DNN training job using an iScheduler Framework: a use case. - Manikya Swathi Vallabhajosyula; Sandeep Satish Budhya; Akanksha Jain; Maaz Baig; Rajiv Ramnath (PEARC, 2024)