Why Choose WAVE?
Enterprise-grade HPC infrastructure built for research excellence
High-Performance Computing
Access powerful computing resources for complex simulations and data analysis.
Fast Job Scheduling
Efficient SLURM-based job management ensures optimal resource allocation.
Collaborative Research
Share projects and data with your research team in a secure environment.
Comprehensive Tutorials
Learn HPC fundamentals with our extensive documentation and guides.
HPC Center News
Ready to Accelerate Your Research?
Neel Mukavilli’s research uses high-performance computing to make protein design AI more interpretable by analyzing how models like Protein MPNN make decisions. Using the WAVE HPC cluster for AI training and molecular dynamics simulations, the project aims to turn accidental protein stability discovered by AI into intentional, controllable design for biotechnology and medicine.
Simon MacLean uses the WAVE HPC cluster to investigate major graph theory problems, including Tarsi’s Conjecture and Stanley’s Tree Isomorphism Conjecture. By developing new algorithms and leveraging high-memory computing resources, he extended computational verification of Stanley’s conjecture from 29 nodes to 33.
Santa Clara University’s High Performance Computing Center has launched a new website for the Wiegand Advanced Visualization Environment (WAVE). The site highlights the center’s computational resources, research programs, and opportunities for students and faculty to engage in advanced data-driven research.