Team Sol
DescriptionAdvisors included, this will be the team's 3rd Cluster Computing Competition (although its first in the "major" competitions). The primary advisor and logistics coordinator are invested graduate EE students who placed 2nd and 4th in the last two national-level Winter Classic Invitational Cluster Computing Competitions. They submitted competitive HPCG, HPL, NAS Parallel benchmark, OpenFOAM motorcycle simulation, and machine learning application scores utilizing a variety of supercomputers and clusters provided by Google, Cray, NASA (Pleiades), Oak Ridge National Labs (SUMMIT), and AWS.
The logistics coordinator has a second undergraduate degree in biology, in addition to Electrical Engineering. The primary advisor has studied bioinformatics as well as Electrical Engineering.
Regarding the actual undergraduate team, each competitor is trained in relevant areas but new to cluster computing. Dante Uriostegui and Miguel Payan are assisting the primary advisor with a radiation hardened GPU project. Throughout the spring they learned to use cmake, make, and linux to conduct GPU programming and even compiler design. They also learned much about GPU architecture through their work with open-source GPU RTL designs. Expertise gained from this competition will help them to utilize state-funded supercomputers to decrease synthesization times and increase emulation performance with complex designs - a critical verification step that their laptops will soon begin struggling with, as the complexity of the design increases. Throughout the rest of their bachelors and master's education, they will be invaluable to the department for this skillset.
Juan Muller is proficient with linux and computer vision. He successfully programmed a drone to land on QR codes using a Raspberry Pi with an intel Compute Stick 2 VPU, requiring build-troubleshooting on his part. HPC training from this competition will empower him to train new models with more data for future machine learning work.
Daniel Alvarado was a star student in the University's rigorous microprocessor systems course, and will complete an internship working with microprocessors at Sandia National Labs over the summer. As he searches for a topic to research in the future for graduate school, HPC has caught his attention. Participation in this competition will elucidate what HPC really is, and reveal new possibilities for a senior design project and future research.
Finally, Michelle Lara and Jose Granados are earlier-on students with programming proficiency and a bright future. The HPC skillset that follows from participation in this competition will allow them not only to participate in future student cluster competitions, but also to help the department with simulation-centered research.
Thus, our team's advisors are invested and trained in HPC. Our student competitors are talented and trained in relevant areas, so this competition will serve to bring many of their skills together to form a new useful skill. As our department has a high need for HPC experts to help professors utilize UTEP-owned and State-Owned Clusters and Supercomputers for their research, the presence of undergraduates, several who are somewhat early on, who have aspirations for graduate school will be an enormous help to our school as well.
The logistics coordinator has a second undergraduate degree in biology, in addition to Electrical Engineering. The primary advisor has studied bioinformatics as well as Electrical Engineering.
Regarding the actual undergraduate team, each competitor is trained in relevant areas but new to cluster computing. Dante Uriostegui and Miguel Payan are assisting the primary advisor with a radiation hardened GPU project. Throughout the spring they learned to use cmake, make, and linux to conduct GPU programming and even compiler design. They also learned much about GPU architecture through their work with open-source GPU RTL designs. Expertise gained from this competition will help them to utilize state-funded supercomputers to decrease synthesization times and increase emulation performance with complex designs - a critical verification step that their laptops will soon begin struggling with, as the complexity of the design increases. Throughout the rest of their bachelors and master's education, they will be invaluable to the department for this skillset.
Juan Muller is proficient with linux and computer vision. He successfully programmed a drone to land on QR codes using a Raspberry Pi with an intel Compute Stick 2 VPU, requiring build-troubleshooting on his part. HPC training from this competition will empower him to train new models with more data for future machine learning work.
Daniel Alvarado was a star student in the University's rigorous microprocessor systems course, and will complete an internship working with microprocessors at Sandia National Labs over the summer. As he searches for a topic to research in the future for graduate school, HPC has caught his attention. Participation in this competition will elucidate what HPC really is, and reveal new possibilities for a senior design project and future research.
Finally, Michelle Lara and Jose Granados are earlier-on students with programming proficiency and a bright future. The HPC skillset that follows from participation in this competition will allow them not only to participate in future student cluster competitions, but also to help the department with simulation-centered research.
Thus, our team's advisors are invested and trained in HPC. Our student competitors are talented and trained in relevant areas, so this competition will serve to bring many of their skills together to form a new useful skill. As our department has a high need for HPC experts to help professors utilize UTEP-owned and State-Owned Clusters and Supercomputers for their research, the presence of undergraduates, several who are somewhat early on, who have aspirations for graduate school will be an enormous help to our school as well.
Event Type
Student Cluster Competition
TimeMonday, 14 November 20227pm - 9pm CST
LocationSCC Booth
TP
XO/EX
Primary Advisor
Master's Teaching Assistant