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Stanford University

High Performance Computing Center

The intersection of research, teaching, learning, and industry.

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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.

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Upcoming Conferences

Stanford HPC-AI Conference Join the Stanford High Performance Computing Center (HPCC) and HPC-AI Advisory Council (HPCAIAC) for two 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:

Stanford AI Workshop Please join the Stanford High Performance Computing Center and the HPC-AI Advisory Council for the first annual Artificial Intelligence workshop, Monday August 17th through Friday August 21st at Stanford University. We will have respected engineers in prominent regions of AI demonstrate their software and hardware stacks. As AI continues to reshape entire industries, the systems and infrastructure necessary to maintain and innovate in AI have continued to change. New hardware offered by Nvidia, Intel, and other manufacturers provide interesting paths for state of the art research. Application specific integrated circuits (ASICs), like the Jetson Nano, provide small modular hardware components that can be used in compute-expensive calculations. Attendees will have the opportunity to take home a Jetson Nano, a versatile tool for artificial intelligence computations, after using it to reinforce previous AI algorithms, frameworks, and tools demonstrated at the workshop. Get firsthand experience deploying state of the art machine learning models in the cloud. If you want a guided tour of state of the art integrated development environments, software stacks, toolkits, and hardware provided by some of the largest manufacturers and innovators in AI, don't miss out on this workshop!

Highlighted Course

ME 344

The Stanford High Performance Computing Center (HPCC) is proud to offer ME344: Introduction to High Performance Computing to Stanford University. ME344 provides a once-in-a-lifetime opportunity for students to gain hands-on experience with building high performance computing clusters, from barebones hardware to advanced cluster installation and management. Throughout the course, students become comfortable with Linux and Bash, in addition to software for open source HPC support,and the operating systems necessary to build clusters in the future. Students spend plenty of time in the cluster room to gain the skills and knowledge necessary to work with companies that have large computing clusters like Intel, Nvidia, and Mellanox.

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