When you look at world-class High Performance Computing (HPC) installations today, more institutions with significant compute demand, such as Pittsburgh Supercomputing Center (PSC), are specifying architectures that serve a wide range of users instead of the traditional scientist running complex simulations. More importantly, these systems are being designed to enable discoveries for users who aren’t computer scientists—researchers who write in higher-level languages, such as R* and Python*. This high level of flexibility was one of the design mandates for PSC’s Bridges supercomputer, according to Nick Nystrom, Sr. Director of Research at PSC, and Intel OPA played a significant role in achieving the design goals. Challenge “The way to reach many people today and provide them the co

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