Evaluating Optimization Strategies for Engine Simulations Using Machine Learning Emulators Publications Journal of Engineering for Gas Turbines and Power
Understanding Scalability and Fine-Grain Parallelism of Synchronous Data Parallel Training Publications 2019 IEEE/ACM Workshop on Machine Learning in High Performance Computing Environments (MLHPC)
DLHub: Model and Data Serving for Science Publications 2019 IEEE International Parallel and Distributed Processing Symposium (IPDPS)
Publishing and Serving Machine Learning Models with DLHub Publications PEARC '19: Proceedings of the Practice and Experience in Advanced Research Computing on Rise of the Machines (learning)
Performance, Energy, and Scalability Analysis and Improvement of Parallel Cancer Deep Learning CANDLE Benchmarks Publications ICPP 2019: Proceedings of the 48th International Conference on Parallel Processing
Adaptive Learning for Concept Drift in Application Performance Modeling Publications ICPP 2019: Proceedings of the 48th International Conference on Parallel Processing
Petrel: A Programmatically Accessible Research Data Service Publications PEARC '19: Proceedings of the Practice and Experience in Advanced Research Computing on Rise of the Machines (learning)
Scalable reinforcement-learning-based neural architecture search for cancer deep learning research Publications SC '19: Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis
