No Travel? No Problem.

Remote Participation
Primary Advisor
Event Type
Student Cluster Competition
Career Development
Diversity Equity Inclusion (DEI)
Education and Training and Outreach
HPC Training and Education
System Administration
Registration Categories
TimeWednesday, 17 November 202110am - 6pm CST
LocationBooth 133
DescriptionThe SDSC/UCSD SCC21 team is self-motivated, technically competent, highly interested in HPC, and have multiple experiences using supercomputers in research or projects. We have team members from the SCC20 virtual cluster competition, where we placed 4th overall. Two SCC20 team members have chosen to join the SCC21 team, and two have returned as mentors. With this team we feel we have the “right stuff” to succeed at SCC21, whether virtual or in person. Our team training activities are fully supported, sponsored and mentored by SDSC through the HPC Students Program. We mentors from SDSC, UCSD CSE, and vendors to train the team and answer questions, ensuring our team’s success in the competition.

Our team members are majoring/minoring in a variety of fields including Computer Science, Computer Engineering, Data Science, Mathematics, and Physics. In total, our technical stack includes: major programming languages (C/C++, Python, Java); parallel programming (MPI, CUDA, OpenMP); scientific applications (LAMMPS, Exciting, Avogadro, Quantum Espresso); hardware description languages (Verilog); and Machine Learning (Pytorch, TensorFlow). Many team members also have experience doing scientific computing applications from working in research internships.

We asked team members to explain why they wanted to participate and how HPC would impact their careers:

Grant Castaneda worked in an oceanography lab doing scientific computing and modeling using HPC. He joined SCC to learn more so he can be more productive in his career, where he will focus on bioinformatics, oceanography and data analysis.

John Ge has been taking HPC training and interns at SDSC. He wants to compete at SCC21 where he can apply his middleware skills. He wants to apply his HPC knowledge to cyberinfrastructure.

Arunuv Gupta was on our SCC20 team, and hopes to gain more HPC experience through the competition, which, coupled with his education in Data Science, will help him build large-scale machine learning systems during his career

Zihao Kong competed at SCC20, and wants to be the go-to person for the team. He has a passion for knowledge in computer architecture and HPC. He can’t wait to join the competition so he can conquer more challenges in the field and apply this knowledge to his research.

John Li brings a strong Linux System administration and cybersecurity background to the team. He wanted to join the team so he could gain experience with HPC and parallel computing and apply that knowledge into other fields in the future.

Matthew Mikhailov studies materials science and runs Quantum Espresso. He saw that it is one of the applications and that made him want to join the team. He hopes HPC will help him to develop the next generation of processors for scientific computing.

Team advisor Dr. Mary Thomas has degrees in physics and computational science, has taught parallel computing for 16 years, and is the HPC Training lead at SDSC. She also enjoys the SCC program -- she has led three SCC teams: SCC16, SCC17 (San Diego State University) and SCC20 (UCSD). Her enthusiasm, knowledge, practical experience will benefit the team.
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