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Metrics for HPC

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

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Metrics for HPC

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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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