There are a range of HPC and storage technology needs for universities and institutions of higher education and research. Applications can span many scientific and engineering disciplines, such that implementation of an HPC infrastructure must consider a variety of algorithms, high-resolution modeling, and I/O demands. Most academic research environments also rely on cost-effective Linux cluster solutions to satisfy these diverse HPC application and data-intensive requirements.

The Panasas ActivStor Parallel Storage Cluster provides the necessary scalability in bandwidth and random I/O to accelerate throughput for the range of demanding data-intensive HPC applications. Panasas’ scalable namespace permits simulations to generate multi-terabyte datasets within a single shared file system. These datasets may be effectively shared across a high performance campus-wide and global grid computing environments to make research datasets available for scientific and engineering collaboration.