Computational Research Center
Location: GLRC 105
Contact: Warren Perger
Use one of the most powerful high performance computer clusters in the region to help unravel the mysteries of the Great Lakes. Employing Superior, the University's shared High-Performance Computing Infrastructure, researchers will be able to predict wind, wave, and current patterns throughout all five Great Lakes—all with greater accuracy than ever before.
Superior will provide Center researchers in many areas with countless new computational tools. Using this new technology, researchers can better predict complex processes by building higher-order models of nutrients, harmful algae blooms, and transport paths of invasive species.
Superior technical specs:
- 100 traditional CPU compute nodes, each with 16 Intel Sandy Bridge processors at 2.60 GHz and 64 GB RAM
- 5 GPU-based compute nodes, each with four NVIDIA Tesla M2090 GPUs
- 56 GB/s InfiniBand network
- 48 TB of raw storage space
- Peak performance: 31 TFLOPS (CPU) and 14 TFLOPS (GPU)
Remote Sensing and Coastal Instrumentation Lab
The Remote Sensing and Coastal Instrumentation Lab (RSCIL) provides GLRC scientists with a chance to see the Great Lakes from a vantage point unavailable to many other researchers. With airborne and space-borne platforms, the RSCIL allows for rapid, complete, and repetitive sampling of vast swaths of coastal regions.
RSCIL enables detailed analysis and measurements of each remote scene. The lab houses both the analytical and computational power needed to provide remote quantitative results. In-situ instrumentation needed to obtain the very best data from high- and low-flying platforms can also be found in the lab.
Current projects include:
- Mapping coastal regions of the Great Lakes and coastal oceans from high altitudes
Ten high-end Mac workstations for analyzing, organizing, and presenting data
The lab has a direct connection to the Superior supercomputer, enabling ultra-fast data processing capabilities