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Maximizing HPC Impact: Metrics for Effective Resource Utilization and Improvement

In the ever-competitive landscape of research funding, measuring High-Performance Computing (HPC) resource utilization is crucial for universities. Tom Furlani, Director of the Center for Computational Research at SUNY Buffalo, emphasizes that without measurement, improvement is impossible. As HPC becomes increasingly essential for simulation-based engineering, science, and data-driven research, it’s vital to demonstrate value through metrics. The UB Metrics on Demand (UBMoD) portal offers insights into CPU cycles, storage, and grant tracking to showcase HPC contributions, enhance system performance, and support transparency.

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Maximizing HPC Impact: Metrics for Effective Resource Utilization and Improvement

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  1. Metrics for HPC Tom Furlani Director, Center for Computational Research SUNY Buffalo September 30, 2010

  2. Why Bother? • If you don’t measure it, you can’t improve it • Constant budgetary pressure • HPC is expensive • Competing for limited resources with many other worthy programs • Can’t simply state the obvious - that HPC capability is crucial for a research university

  3. The Good News • Advanced computing critical to research • Simulation based engineering and science • Data driven science • HPC Centers have a good story to tell • Transparency is good • Much of the info is collected already • Log files from queuing systems

  4. Which Metrics (ROI) • Resource Utilization • Provide instantaneous and historical information on resource utilization • Improve system performance for users • UB Metrics on Demand (UBMoD) • Grant Database • Track grant proposals submitted and funded by researchers utilizing HPC resources • Track funds budgeted to center from grants

  5. UB Metrics on Demand Portal • UBMoD: Web-based Interface for On-demand Metrics • CPU cycles delivered, Storage, Queue Statistics, etc • Customized interface (Provost, Dean, Chairs, Faculty)

  6. CCR Grant Database • Input data on grants proposals • Search data to generate reports

  7. Perspective

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