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NSAP Technology Challenges and Frontiers
6 November 2008 NSAP Technology Challenges and Frontiers Terri Betancourt NSAP Engineering Deputy (and 19 talented engineers)
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Identifying Priorities
Outline Identifying Priorities Managing Resources (Imperatives) Looking Forward (Frontiers)
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Identifying Priorities
Imperatives in managing resources Focus on cost-effective decisions Implement reliability measures Factor in salary cost spent on inexpensive solutions Mitigate risks to UCAR and customers Frontiers in NSAP technologies Pursue technologies that allow users to be more effective in their decision making Pursue technologies that increase efficiencies in computational resources
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Imperative: Dedicated Computing Cycles
Adapt to limitations of CISL shared resources Purchase project-centric clusters Take advantage of HPC MSRC where possible Fabric: CISL, MMM, UCAR Contracts From One to many…
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Imperative: Distributed Facilities
Meet Customer’s on-site requirements Adapt to UCAR facilities constraints Dell clusters off-site 10 racks 80 nodes 160 processors Dell clusters at NCAR 26 racks 437 nodes 1332 processors (1/3 #processor of Bluefire) LNXI HPC at DPG 4 racks 64 nodes 256 processors
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Imperative: Web of Data Management
Address I/O inefficiencies Expand data storage capacity Optimize data distribution strategies
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Imperative: Secure Engineering Practices
Assess security risks in distributed facilities Affect change in the responsibility mindset Fabric: Computer Security Advisory Committee (CSAC)
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Looking Forward… Priority: Pursue technologies that increase efficiencies in computational resources Frontier: Graphical Processing Units (GPU) From gaming to science… Coordinate transformation 30x speedup using IDL API to GPULib from Tech-X
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Looking Forward… Priority: Pursue technologies that allow users to be more effective in their decision making Frontier: Real-time 3-D visualization for emergency management Fabric: GIS Initiative STAR Institute
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Taking measures to transition research into operations
NSAP Engineering Taking measures to transition research into operations efficiently and effectively
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