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

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Presentation on theme: "Tom Furlani Director, Center for Computational Research SUNY Buffalo Metrics for HPC September 30, 2010."— Presentation transcript:

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

2 Center for Computational Research  More than 10 years experience delivering HPC in an academic setting  Mission: Enabling and facilitating research within the university  Staff: 15 FTE  Provide  Cycles, software engineering, scientific computing/modeling, medical informatics, visualization  Computational Cycles Delivered in 2009:  360,000 jobs run (1000 per day)  720,000 CPU days delivered  $9M Infrastructure Upgrades in 2010: (6000 cores, 800 TB storage)  NSF MRI – Netezza Data Intensive HPC Cluster  NSF CDI – GPU Cluster  NYSERDA Green IT Cluster  NIH S10 – HPC Cluster  Portal/Tool Development  WebMO (Chemistry)  iNquiry (Bioinformatics)  UBMoD (Metrics on Demand)  NYSTAR HPC 2 Consortium  UB, RPI, StonyBrook, Brookhaven, NYSERNet  Bringing HPC to NYS Industry

3 Outline  Center for Computational Research  Technology Audit Service  Vision  The Team  Progress to Date Application Kernels XDMoD Portal

4 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

5 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

6 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

7 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)

8 CCR Grant Database  Input data on grants proposals  Search data to generate reports

9 Perspective


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