Na Zhang is senior member of technical staff working on High-Performance Computing (HPC) and Machine Learning (ML) within VMware’s Office of the CTO. She has broad experience in the areas of design and implementation of vHPC tools, MLaaS platform architecture, performance-tuning and best practices for HPC and ML workloads, accelerator solutions, and integration of HPC middleware with VMware products. Based in Boston, Na is the author of multiple research and technical papers, many designed to support VMware customers to optimize their HPC and ML deployments. She has also served on the Technical Program Committee for a number of international HPC events, including SC, vHPC and HPC&S. Na received her Ph.D. in Applied Mathematics from Stony Brook University in 2015 with research area in design of parallel algorithms for multi-scale simulations running on supercomputers. Na’s passion for machine learning drives her interest outside the office in ML/DL algorithms and ML/DL research for application in her day-to-day work at VMware.
Overview High Performance Computing (HPC) is the use of parallel-processing techniques to solve complex computational problems. HPC systems have the ability to deliver sustained performance...
