About WAVE

Transforming Discovery through Advanced Computation

The E. L. Wiegand Advanced Visualization Environment (WAVE) is Santa Clara University's interdisciplinary hub for high-performance computing, data analytics, and immersive visualization. What began as a specialized technical utility has grown to support research and student learning across campus.

Our immersive visualization and development labs live in the Sobrato Campus for Discovery and Innovation, while the HPC cluster itself is housed in a dedicated, climate-controlled data center. That computing capacity lets researchers run modeling and dataset analysis that a standard desktop can't handle.

A Shared Resource for a Diverse Community

Unlike traditional labs restricted to a single department, WAVE is intentionally shared. It's used by engineers, scientists, artists, and social scientists, and is meant to make collaboration across departments easier. It serves high-end users in quantitative fields like Computer Science and Bioengineering, but it's also intended to make advanced computing accessible to people outside those fields.

Today the Center supports projects as varied as climate modeling, molecular protein simulation, and visual engagement research in marketing analytics. By putting these tools in undergraduates' hands early, SCU offers an experience larger research institutions typically reserve for graduate students.

Cutting-Edge Infrastructure

The University has invested heavily in WAVE's physical and technical infrastructure. Through strategic hardware upgrades and corporate partnerships, total computing power has tripled. An enterprise-grade parallel file system from VDURA now eliminates the storage bottlenecks that used to slow research down.

As a result, simulations that once took weeks now finish in hours.

Preparing Leaders for a Data-Driven World

HPC is embedded directly into the undergraduate curriculum, so students graduate with practical skills that the biotech, tech, and financial sectors increasingly expect, including managing remote servers and using job schedulers like SLURM.

Students use these skills across a range of projects, from studying the structural dynamics of ancient artifacts to training deep-learning models for autonomous sensing.

Navigation & Further Reading

To learn more about the foundations that made this center possible and the opportunities available to our faculty and students, visit our sub-pages: