logging in or signing up Let No Deed Go Unpunished GenX Download Post to : URL : Related Presentations : Share Add to Flag Embed Email Send to Blogs and Networks Add to Channel Uploaded from authorPOINT Insert YouTube videos in PowerPont slides with aS Desktop Copy embed code: (To copy code, click on the text box) Embed: URL: Thumbnail: WordPress Embed Customize Embed The presentation is successfully added In Your Favorites. Views: 74 Category: Entertainment License: All Rights Reserved Like it (0) Dislike it (0) Added: September 24, 2007 This Presentation is Public Favorites: 0 Presentation Description No description available. Comments Posting comment... Premium member Presentation Transcript Let No Good Deed Go Unpunished: Let No Good Deed Go Unpunished The Optimal Good Deed:Centralized High Performance Research Computing Environment: The Optimal Good Deed: Centralized High Performance Research Computing Environment Researchers focus on their disciplines Efficiency (OS/patches/rebuild/security) NSF, etc requiring central support Leverage vendor relationships Consolidate licensing, expenses Consolidate space and environmental impact Initiating the Good Deed: Initiating the Good Deed Provost was instrumental in selecting key faculty members to be interviewed Provost office established a Research Computing Steering committee Provost organized a central meeting open to all PIs and faculty members Interview Process: Interview Process Varied random sample – but was cross discipline Questions pertaining to desired environments/platforms/configurations Clusters vs. SMP Immediate benefits and complexity Weighing Currently Uses vs. DREAMS Conflicting requests Vast software needs and desires Interview Results: Interview Results Finding consistent terms Attempt to resolve conflicting concepts Translating terms into viable services Compatibility with IS strategies. Hardware Desires : Hardware Desires Cluster With Job Management (queues) Ability to interactively run jobs Need to be able to support large files Need to be able to efficiently support large data sets (in excess of 4gig) Software Desires: Software Desires C Matlab Mathmatica Fortran Java Maple MPI/Open MPI Numerical Algorithms Group EndNote Gaussian Portland Group Compiler C (Intel) Fortran (Intel) Stata SPSS Oracle SAS Amos AutoCad EQS TechPlot ChemDraw Anticipated Cluster Configuration: Anticipated Cluster Configuration To do an easy RFP: To do an easy RFP RFP Responses: RFP Responses Evaluation Process: Evaluation Process Hardware considerations: Intel vs. AMD Dual core? Dual Processor(s) Hyperthreading 64bit vs. 32bit Watts per thread SCSI vs. SATA OS/Configuration considerations: Software vendor support for the OS. Ease of install Uniqueness vs. Commodity Evaluating RFP responses (cont): Evaluating RFP responses (cont) Onsite services Assembly Install Customization Administrative Training Administrative overhead Node rebuild Software distribution Software support: By 3rd party software vendors Anticipating Support and User Acceptance: Anticipating Support and User Acceptance Commodity OS Support networks (user groups) Plenty of literature… Classes/training The (easy) Decision … : The (easy) Decision … Hardware: 1 Front end – Dual processor – Xeon EMT64 4gig of Ram 240gb of disk space (3x80gig) 64 Compute nodes – Dual Processor – Xeon 4gig of Ram 40gig SATA hard drives Gigabyte networking between nodes The Decision Continued…: The Decision Continued… OS: Platform Rocks Redhat Enterprise 3.0 WS User Environment: Platform Lava (Job Management) Sungrid Engine (job queues) Native Linux/Bash shell IS buy-in: IS buy-in Earn extra buy in by having IS units answer the questions the RFP did not address: Account administration/Authentication User and Scratch Storage space Backup, Restore and DR strategies User Support/Issue workflow Determining Datacenter Impact: Determining Datacenter Impact Heating Cooling Electrical Space Today Growth Trigger for Other new services : Trigger for Other new services Datacenter hosting Advanced software/programming support Consultation on grant writing and equipment specifications Support Impacts on existing services: Support Impacts on existing services HelpDesk Administrators Downtime response Software training and questions No additional FTE…. The Good Deed Decision: The Good Deed Decision Sort of …. Maybe it’s a Good Deed: Maybe it’s a Good Deed Policy and Central IT View Convincing IT : Convincing IT Leo had the easy part Infrastructure : Infrastructure Politics in general Politics in specific just who is Academic Technology Services Who wants more work? IS buy-in: IS buy-in Earn extra buy in by having IS units answer the questions the RFP did not address: Account administration/Authentication User and Scratch Storage space Backup, Restore and DR strategies User Support/Issue workflow Support Redux: Support Redux HelpDesk Escalation Software installation Space Governance: Governance Northeastern's Academic Plan Top 100 Watching the Competition Opportunity for a New Model Setting Researchers Expectations: Setting Researchers Expectations Old Adage Don’t Promise What You Can’t Deliver Scientists vs Those Other (social) Scientists: Scientists vs Those Other (social) Scientists The Good Deed Gets Murkier The coming issues Different software Processing vs. memory GUI vs. commands Lack of money Increased support requirements Slide29: Discipline Research Stacks Scholarly Infrastructure And the Most Punishing Part of the Deed: And the Most Punishing Part of the Deed Funding Ongoing funding Acknowledgements: Acknowledgements To Associate Provost Srinivas Sridhar for his foresight in realizing the need to fund this cluster To IS VP Bob Weir for taking this bold step into new territory To the research faculty for realizing there is potential in this for all Questions?: Questions? Leo Hill, Academic and Research Technology consultant, l.hill@neu.edu Leslie Hitch, Ed.D. Director Academic Technology, l.hitch@neu.edu Glenn Pierce, Ph.D., Senior Research Scientist, College of Criminal Justice, g.pierce@neu.edu You do not have the permission to view this presentation. In order to view it, please contact the author of the presentation.
Let No Deed Go Unpunished GenX Download Post to : URL : Related Presentations : Share Add to Flag Embed Email Send to Blogs and Networks Add to Channel Uploaded from authorPOINT Insert YouTube videos in PowerPont slides with aS Desktop Copy embed code: (To copy code, click on the text box) Embed: URL: Thumbnail: WordPress Embed Customize Embed The presentation is successfully added In Your Favorites. Views: 74 Category: Entertainment License: All Rights Reserved Like it (0) Dislike it (0) Added: September 24, 2007 This Presentation is Public Favorites: 0 Presentation Description No description available. Comments Posting comment... Premium member Presentation Transcript Let No Good Deed Go Unpunished: Let No Good Deed Go Unpunished The Optimal Good Deed:Centralized High Performance Research Computing Environment: The Optimal Good Deed: Centralized High Performance Research Computing Environment Researchers focus on their disciplines Efficiency (OS/patches/rebuild/security) NSF, etc requiring central support Leverage vendor relationships Consolidate licensing, expenses Consolidate space and environmental impact Initiating the Good Deed: Initiating the Good Deed Provost was instrumental in selecting key faculty members to be interviewed Provost office established a Research Computing Steering committee Provost organized a central meeting open to all PIs and faculty members Interview Process: Interview Process Varied random sample – but was cross discipline Questions pertaining to desired environments/platforms/configurations Clusters vs. SMP Immediate benefits and complexity Weighing Currently Uses vs. DREAMS Conflicting requests Vast software needs and desires Interview Results: Interview Results Finding consistent terms Attempt to resolve conflicting concepts Translating terms into viable services Compatibility with IS strategies. Hardware Desires : Hardware Desires Cluster With Job Management (queues) Ability to interactively run jobs Need to be able to support large files Need to be able to efficiently support large data sets (in excess of 4gig) Software Desires: Software Desires C Matlab Mathmatica Fortran Java Maple MPI/Open MPI Numerical Algorithms Group EndNote Gaussian Portland Group Compiler C (Intel) Fortran (Intel) Stata SPSS Oracle SAS Amos AutoCad EQS TechPlot ChemDraw Anticipated Cluster Configuration: Anticipated Cluster Configuration To do an easy RFP: To do an easy RFP RFP Responses: RFP Responses Evaluation Process: Evaluation Process Hardware considerations: Intel vs. AMD Dual core? Dual Processor(s) Hyperthreading 64bit vs. 32bit Watts per thread SCSI vs. SATA OS/Configuration considerations: Software vendor support for the OS. Ease of install Uniqueness vs. Commodity Evaluating RFP responses (cont): Evaluating RFP responses (cont) Onsite services Assembly Install Customization Administrative Training Administrative overhead Node rebuild Software distribution Software support: By 3rd party software vendors Anticipating Support and User Acceptance: Anticipating Support and User Acceptance Commodity OS Support networks (user groups) Plenty of literature… Classes/training The (easy) Decision … : The (easy) Decision … Hardware: 1 Front end – Dual processor – Xeon EMT64 4gig of Ram 240gb of disk space (3x80gig) 64 Compute nodes – Dual Processor – Xeon 4gig of Ram 40gig SATA hard drives Gigabyte networking between nodes The Decision Continued…: The Decision Continued… OS: Platform Rocks Redhat Enterprise 3.0 WS User Environment: Platform Lava (Job Management) Sungrid Engine (job queues) Native Linux/Bash shell IS buy-in: IS buy-in Earn extra buy in by having IS units answer the questions the RFP did not address: Account administration/Authentication User and Scratch Storage space Backup, Restore and DR strategies User Support/Issue workflow Determining Datacenter Impact: Determining Datacenter Impact Heating Cooling Electrical Space Today Growth Trigger for Other new services : Trigger for Other new services Datacenter hosting Advanced software/programming support Consultation on grant writing and equipment specifications Support Impacts on existing services: Support Impacts on existing services HelpDesk Administrators Downtime response Software training and questions No additional FTE…. The Good Deed Decision: The Good Deed Decision Sort of …. Maybe it’s a Good Deed: Maybe it’s a Good Deed Policy and Central IT View Convincing IT : Convincing IT Leo had the easy part Infrastructure : Infrastructure Politics in general Politics in specific just who is Academic Technology Services Who wants more work? IS buy-in: IS buy-in Earn extra buy in by having IS units answer the questions the RFP did not address: Account administration/Authentication User and Scratch Storage space Backup, Restore and DR strategies User Support/Issue workflow Support Redux: Support Redux HelpDesk Escalation Software installation Space Governance: Governance Northeastern's Academic Plan Top 100 Watching the Competition Opportunity for a New Model Setting Researchers Expectations: Setting Researchers Expectations Old Adage Don’t Promise What You Can’t Deliver Scientists vs Those Other (social) Scientists: Scientists vs Those Other (social) Scientists The Good Deed Gets Murkier The coming issues Different software Processing vs. memory GUI vs. commands Lack of money Increased support requirements Slide29: Discipline Research Stacks Scholarly Infrastructure And the Most Punishing Part of the Deed: And the Most Punishing Part of the Deed Funding Ongoing funding Acknowledgements: Acknowledgements To Associate Provost Srinivas Sridhar for his foresight in realizing the need to fund this cluster To IS VP Bob Weir for taking this bold step into new territory To the research faculty for realizing there is potential in this for all Questions?: Questions? Leo Hill, Academic and Research Technology consultant, l.hill@neu.edu Leslie Hitch, Ed.D. Director Academic Technology, l.hitch@neu.edu Glenn Pierce, Ph.D., Senior Research Scientist, College of Criminal Justice, g.pierce@neu.edu