2MuchCache
DescriptionThe SDSC/UCSD SCC22 team is enthusiasm-driven, technically capable, fast-learning, and deeply experienced across the computer hardware and software stacks. Each team member is uniquely qualified and committed to using HPC to advance their field. We have one returning team member from the SCC21 virtual cluster competition, one team member graduating from previous competition training to the competition team, three former team members serving as team mentors, and four new students joining the competition team. We are confident in our team’s ability to tackle expected and unexpected challenges in the competition, using a combination of rigorous preparation, strong communication, robust planning, detailed learning, and efficient teamwork. Our team training activities are fully supported by SDSC through the HPC Students Program, and we are engaging directly with each of our sponsors for expert sessions on computer architecture, optimizing compilers, HPC in the cloud, containerization, and more.
Our team members exploit the full flexibility of the UCSD computer science, cognitive science, and computer engineering majors. Our technical stack includes: major programming languages (C, C++, Java, Python, Fortran), system administration, firmware engineering, parallel programming (MPI, OpenMP, CUDA), hardware design (SystemVerilog, tcl, Cadence, Synopsis), scientific applications (LAMMPS, Quantum Espresso, Avogadro, VMD), full stack web development (Node.JS, REACT, HTML), scripting and batch processing, and machine learning. Many team members have both undergraduate research and industry internship experience.
Edward Burns previously interned at SDSC, and he brings image processing, software engineering, and batch scheduler optimization experience to the team. He hopes that HPC experience will help him build highly scalable computer vision software throughout his career.
Davit Margarian brings a VLSI chip design and firmware background to the team. He hopes to use his HPC experience to accelerate computer-aided design tools for billion-gate integrated circuits.
Stefanie Dao is experienced across operating systems, computer vision, and high-performance software. She plans to apply her HPC experience to server-side processing and updating of augmented reality experiences in real time.
Longtian Bao has strong scripting, software engineering, and web development skills, and he participated in last year’s team training. He is excited to apply his skills to resource budgeting and performance monitoring during the competition.
Yuchen Jing has extensive networking and Linux system administration experience from hosting network proxies, file transfer servers, and version control systems. He is looking forward to strengthening his skills in developing, deploying, and maintaining high performance software.
Matthew Mikhailov competed at SCC21, and is the go-to person for the team. He specializes in VLSI chip design and computational materials science, and he uses the LAMMPS code for his research. He hopes to learn from his SCC experience to design the next generation of supercomputer chips.
Team advisor, Dr. Mary Thomas, SDSC HPC Training Lead, holds degrees in physics, computer science, and computational science, and taught parallel computing for 16 years. She has a personal commitment to the SCC program -- she has led 4 teams: SCC16 and 17 (San Diego State University) and SCC20-21 (UCSD). Her enthusiasm, knowledge, and practical experience will benefit the team.
Our team members exploit the full flexibility of the UCSD computer science, cognitive science, and computer engineering majors. Our technical stack includes: major programming languages (C, C++, Java, Python, Fortran), system administration, firmware engineering, parallel programming (MPI, OpenMP, CUDA), hardware design (SystemVerilog, tcl, Cadence, Synopsis), scientific applications (LAMMPS, Quantum Espresso, Avogadro, VMD), full stack web development (Node.JS, REACT, HTML), scripting and batch processing, and machine learning. Many team members have both undergraduate research and industry internship experience.
Edward Burns previously interned at SDSC, and he brings image processing, software engineering, and batch scheduler optimization experience to the team. He hopes that HPC experience will help him build highly scalable computer vision software throughout his career.
Davit Margarian brings a VLSI chip design and firmware background to the team. He hopes to use his HPC experience to accelerate computer-aided design tools for billion-gate integrated circuits.
Stefanie Dao is experienced across operating systems, computer vision, and high-performance software. She plans to apply her HPC experience to server-side processing and updating of augmented reality experiences in real time.
Longtian Bao has strong scripting, software engineering, and web development skills, and he participated in last year’s team training. He is excited to apply his skills to resource budgeting and performance monitoring during the competition.
Yuchen Jing has extensive networking and Linux system administration experience from hosting network proxies, file transfer servers, and version control systems. He is looking forward to strengthening his skills in developing, deploying, and maintaining high performance software.
Matthew Mikhailov competed at SCC21, and is the go-to person for the team. He specializes in VLSI chip design and computational materials science, and he uses the LAMMPS code for his research. He hopes to learn from his SCC experience to design the next generation of supercomputer chips.
Team advisor, Dr. Mary Thomas, SDSC HPC Training Lead, holds degrees in physics, computer science, and computational science, and taught parallel computing for 16 years. She has a personal commitment to the SCC program -- she has led 4 teams: SCC16 and 17 (San Diego State University) and SCC20-21 (UCSD). Her enthusiasm, knowledge, and practical experience will benefit the team.
Event Type
Student Cluster Competition
TimeMonday, 14 November 20227pm - 9pm CST
LocationSCC Booth
TP
XO/EX
Primary Advisor
Student Cluster Team Members
