Diana Moise
Diana Moise is a performance engineer at HPE/Cray, Inc. working on benchmarking, performance optimization and scalability of scientific applications and emerging machine learning workloads. Diana received her PhD in Computer Science at ENS Cachan / INRIA Rennes in 2011. At HPE, Diana’s work focuses on deep learning optimization at scale and on developing and applying DL tools to scientific problems. Other interests include: benchmarking and performance optimization of future architectures for HPC and AI, developing methods and tools to optimize existing frameworks for HPC systems, applying data science techniques to system data with the goal of optimizing resource utilization and application performance.
Computer Science, Machine Learning, and Applied Mathematics