ME 344: Introduction to High Performance Computing
ME 344 is an introductory course on High Performance Computing Systems, providing a solid foundation in parallel computer architectures, cluster operating systems, and resource management. This course will discuss fundamentals of what comprises an HPC cluster and how we can take advantage of such systems to solve large-scale problems in wide ranging applications like computational fluid dynamics, image processing, machine learning and analytics. Students will take advantage of Open HPC, Intel Parallel Studio, Environment Modules, and cloud-based architectures via lectures, live tutorials, and laboratory work on their own HPC Clusters. This year includes building an HPC Cluster via remote installation of physical hardware, configuring and optimizing a high-speed Infiniband network, and an introduction to parallel programming and high performance Python. Students will complete the course with a project using their own clusters to interrogate and model a COVID-19 dataset. There are no prerequisites for computer programming languages. Many of the tasks involve scripting languages. Knowledge of Bash and Python are helpful to get the most out of the course. Group work and collaboration on projects is allowed and encouraged.
ME 344S: HPC-AI Summer Seminar Series
How will high performance computing and artificial intelligence change the way you live, work and learn? What skill sets will you need in the future? The HPC-AI Summer Seminar Series, presented by the Stanford High Performance Computing Center and the HPC-AI Advisory Council, combines thought leadership and practical insights with topics of great societal importance and responsibility—from applications, tools and techniques to delving into emerging trends and technologies. These experts and influencers who are shaping our HPC and AI future will share their vision and will address audience questions. The overarching theme this year is the potential influence and impact of HPC and AI to battle COVID-19. Students of all academic backgrounds and interests are encouraged to register for this 1-unit course. No prerequisites required. Register early.