Working at the HPCC
I've been at the HPCC for over four years. In my time here, I have built numerous configurations of high performance and parallel computing clusters, both in front of large audiences at our annual conferences and regularly in the engineering lab. I became so comfortable with Linux that I had to dual-boot on my laptop to get my work done. I have installed and built hardware from diverse hardware companies, including Intel, Mellanox, IBM, and Panasas. As apart of our ME344: Introduction to High Performance Computing course I was able to assist students in learning foundational skills in high performance computing and give them real world experience I certainly never thought I would ever access. I even had the opportunity to work on federal grant proposals to aid our organization in getting systems valued at over $15 million. What I value most from my time at the HPCC is the autonomy to work on large-scale projects with innovative academic researchers: an opportunity to get involved with state of the art research can only be described as amazing.Learn more
HPC for the rest of us! Ready to tackle your AI, ML, HPC or Container workloads with a high-performance computing cluster? Join us for an informative and engaging session as we share our experiences of constructing cutting edge systems using open-source solutions. Panelists are invited to participate live on zoom - so don't miss out if you want the chance of becoming one in future sessions! Please join the Stanford High Performance Computing Center for the HPC for the rest of us! series, every other Thursday at 11AM Pacific Register for HPC for the rest of us!
Stanford HPC-AI Conference Join the Stanford High Performance Computing Center (HPCC) and HPC-AI Advisory Council (HPCAIAC) for three days of invited and contributed talks, hands-on tutorials and workshops on HPC, AI, Data Sciences, Machine Learning and much more.
Focused on contributing to making the world a better place, our only US-based conference draws together renowned subject matter experts (SMEs) - from private and public sectors to startups and global giants, from across interests and industries in the valley and beyond - to explore the domains and disciplines fueling huge advances in new and ongoing research, innovation, and breakthrough discoveries.
Each annual agenda combines thought leadership and practical insights with topics of great societal importance and responsibility – from applications, tools and techniques to delving into emerging trends, technologies and collaborative partnerships inspiring our collective success.
Open to all interested and free of charge, we invite you to step away from the daily din of noise and hype and join us for the next annual Stanford Conference! Visit the following site for up-to-date information: https://www.hpcadvisorycouncil.com
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. 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.Learn more