The new University of Arizona Research Data Center (RDC) is a state-of-the-art computer storage hub that triples the university's previous capacity to host centralized large computer clusters. Scientific research, particularly the kind done at the university, relies upon HPC/HTC capacity to hold and analyze the multitude of data collected during research. These services are open to any faculty, researcher or student who has a use for HPC/HTC systems.
Computer System Types
- Shared Memory - High Performance Computing (HPC) systems enable users to run a single instance of parallel software over many processors.
- Distributed Memory - Distributed memory refers to multiple-processor computer systems in which each processor has access to its own dedicated memory.
- High Throughput - HighThroughput Computing (HTC) serial systems are more suited to running multiple independent instances of software on multiple processors at the same time.
- CPU/GPU/Phi Hybrid - The Data Center's GPU Hybrid system ("El Gato") runs multiple calculations simultaneously, runs more complex computations at a faster rate, and delivers more highly detailed results. Visit elgato.arizona.edu for more information on using this system.
UA Research Data Center Information/Specifications
Site map: http://rc.arizona.edu/sitemap