Parallel Computing 101: All you need to know about the hardware that powers data science | WiDS 2021

Ph.D. Candidate in Computational and Mathematical Engineering, Stanford University

I am a PhD candidate at the Institute for Computational and Mathematical Engineering (ICME) at Stanford. I hold a bachelor’s in civil engineering and mathematics from Universidad de los Andes, Colombia, and a master’s in applied mathematics from King Abdullah University of Science and Technology, Saudi Arabia. My work combines modern tools of data analysis and optimization with traditional numerical analysis results. In addition to study the theoretical behavior of optimization algorithms using “real” data, I am interested in other components that affect the day-to-day data science, such parallel computing and education of applied mathematics. This workshop is an appetizer of an introductory summer workshop in Parallel Computing that I developed and taught during the last years at ICME. The high-level approach of the workshop is inspired on my own rocky journey learning parallel computing.