SUNNYVALE, Calif.– June 8, 2021 —Panasas, a maker of high-performance computing (HPC) data storage solutions, announced an expansion of its 13-year relationship with the University of Minnesota’s Supercomputing Institute (MSI) to supply a new generation of parallel storage systems. As its researchers push further into the fields of bioinformatics, artificial intelligence and machine learning, MSI plans […]
Univ. of Minnesota Supercomputing Institute Expands Research Capability, Adds 10PB of Panasas Storage
June 8, 2021 by
The Hyperion-insideHPC Interviews: Rich Brueckner Talks with Paul Muzio about His Hopes, Concerns for HPC and AI
June 23, 2020 by
Industry luminary Paul Muzio, holder of prominent positions in academia and private industry over a multi-decade career in HPC, is bullish on supercomputing – and deeply concerned. In this video, Muzio spoke with the late Rich Brueckner about the past, present and future of supercomputing. He sees a future in which compute power is […]
Video: JupyterHub as an Interactive Supercomputing Gateway
August 4, 2016 by
“At the Minnesota Supercomputing Institute we are exploring ways to provide the immediacy and flexibility of interactive computing within the batch-scheduled, tightly controlled world of traditional cluster supercomputing. As Jupyter Notebook has gained in popularity, the steps needed to use it within such an environment have proven to be a barrier to entry even as increasingly powerful Python tools have developed to take advantage of large computational resources. JupyterHub to the rescue! Except out of the box, it doesn’t know anything about resource types, job submission, and so on. We developed BatchSpawner and friends as a general JupyterHub backend for batch-scheduled environments. In this talk I will walk through how we have deployed JupyterHub to provide a user-friendly gateway to interactive supercomputing.”
