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SRNL Computational Sciences Dr. Mary K Harris SRNL-STI-2012-00199.

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Presentation on theme: "SRNL Computational Sciences Dr. Mary K Harris SRNL-STI-2012-00199."— Presentation transcript:

1 SRNL Computational Sciences Dr. Mary K Harris SRNL-STI-2012-00199

2 2 SRNL Computational Sciences Applied Computational Engineering & Statistics (Patricia Lee, Ph.D) Computational Sciences Mary K Harris, Ph.D - Director Chief Information Officer Mary K Harris, Ph.D Computing Program Manager & CISSP (Cynthia Holding-Smith) Computing Program Manager (John Longo) Administrative Assistant (Carolyn Ervin) Computational Engineering & Sciences Steve Hensel, Ph.D Scientific Computing Phil Moore, Ph.D Process Modeling & Computational Chemistry (Steve Hensel, Ph.D) Software Engineering (Ben Torkian, Lead) High Performance Computing/Linux Systems Engineering (Tommy Ansley, PM)

3 3 SRNL Computational Technical Staff Approximately 75 Computational Professionals Engineers chemical mechanical nuclear environmental civil Computer Scientists Meteorologists Statisticians Chemists Experience spans broad spectrum of applications supporting Environmental Stewardship, National Security, and Energy Security

4 4 Applied Statistics Statistical sampling for process qualification and uncertainty determination Material control & accountability and associated uncertainties Monte Carlo simulations and statistical forensics Computational Engineering Computational fluid dynamics and heat transfer Structural and coupled multi-physics analysis Radiation transport modeling Environmental Modeling Groundwater, geochemical, risk assessment, and regulatory Chemical Process Modeling Nuclear materials processing Flow sheet and systems modeling Atmospheric Modeling Local, regional and international, CO2 risk assessment, climate, emergency response Computational Chemistry Chemical Reactions, Separations, and Molecular/Compound Design NMR and XRD Structure Validation Structural Stability and Kinetic Processes Key Technical Competencies

5 5 Key Resources: Hardware, Software Hardware HPC (managed by Scientific Computing) High end Linux workstations (managed by Scientific Computing) High end Windows workstations (managed by IT) Software SAS, JMP (statistics) Fluent, Abaqus, Comsol, Patran/Thermal, MCNP (eng. modeling) Gaussian, Castep, Dmol, Cosmotherm, Wien, ADF (Comp. Chem) ACM, Aspen Plus, OLI, Verse, Extend (Process Modeling) other not managed by CES, Porflow, Goldsim

6 6 Key Products/Services/Functions We solve problems – Product is typically a report...rarely a model to be used by the client Broad Range of Modeling/Simulation and Calculations using appropriate rigor and computational tools from atoms to flowsheets/systems from spreadsheet to sophisticated commercial software from windows PC’s to multicore Linux compute servers Unclassified and Classified work Strategic partnerships with customer base

7 7 Key Technical Competencies High Performance Computing (HPC) Computer modeling, Visualization, Distributed computations Scientific Applications Management and Development Laboratory Information Management Systems (LIMS), Open Source (Python, R), Commercial (Matlab, LabView, Fluent, COMSOL, PORFLOW, PDM-Link), Python-Java-Fortran-C software development, Graphical User Interfaces, Integration of Windows Scientific Applications onto SRS Desktop Archival, Retrieval and Analysis of Scientific Datasets Remote data collection (Weather data, Insitu, Sodar), TADAAS Data Archive and Analysis (DHS/DNDO), Enterprise archive and version control of SRNL software and documents Networks for Research and Academic Collaboration Establish DHS network in SRS, Open collaboration network (, Cyber Security policies, procedures, and applications, DHS-NNSA cyber systems and applications support SRNL Web Development RAMPAC (, Hydrogen Storage Engineering Center of Excellence ( PC Controllers and SRNL Windows Applications Footprints helpdesk ticket system, TIVOLI backups, PC Desktop support Cyber Security Policy, Risk Assessments, Scanning, Patching

8 8 HPC Facilities SRNL Linux Cluster - 1210 cores, 35 TB memory, 200 TB disk storage DOE Unclassified, Disk storage for Linux and Windows Desktops Atmospheric Technologies Group compute cluster Linux Scientific Workstations DHS TADAAS HPC Facilities (Prototype in Progress) Linux Cluster - 114 cores, 19 TB memory, 16 TB disk storage Provide authenticated remote access from multiple external sites to centralized SRNL-DNDO data archive and analysis system Meet DHS cyber security requirements HPC Open Computing Facilities (March 2012) Linux Cluster, Open Source applications, domain, 10 Gigabit network Authenticated Open Access for collaboration with universities, laboratories and industry Key Facilities

9 9 Linux HPC systems (hardware, software and high-speed network) Scientific applications (PorFlow, Fluent, Matlab, COMSOL) LIMS (Labvantage, Labtronics, Oracle) ATG WINDS Data Collection (Python, Postgres) Visualization (DOE ASCEM-Vis, VisIt, MatPlotLib) Linux, Windows, IPad and Web Software Development (Weather Applications, RAMPAC, Cercla, MPF) Open-source software for reducing costs, removing licensing barriers and expanding computing capability (Scientific Python, R, OpenFOAM, Sierra, Delft3D) Key Services

10 10 Example - ATG Weather System Data Flow

11 11 Weather Application Conversion Project Solaris and Windows Oracle C PL/SQL Fortran TCL TK Oracle Forms IDL Linux PostgreSQL C pg8000, pygresql Fortran Python Tkinter wxPython Matplotlib

12 12 ATG Legacy User Interface

13 13 ATG Weather System Web Demonstration

14 14 Key Initiatives High Speed 10 Gigabit Connection from SRNL to the National Lambda Rail and Internet2 Collaboration User Facility in Performance-Optimized Datacenter (POD) Integrate Graphical Processing Units (GPUs) into SRNL Computing environment Collaborate with other national laboratories and universities by establishing shared computing facilities Integrate Open Source Software into the SRNL Scientific Computing environment Increase applications and software support for SRNL departments Balance staffing and expertise in support of SRNL Scientific Computing need s More opportunities for Computer Science and Engineering internships

15 15 A Collaborative Path Forward for SRNL Scientific Computing Provide resources for collaborating with academic institutions in teaching Clean Energy concepts and technologies using computer models and simulations Actively participant in DOE ESNet and Internet2 activities in association with other National Laboratories & Academic institutions Facilitate dialog through video conferencing

16 16 Areas SRNL Scientific Computing is projected to increase Cyber security – unclassified and classified Technical Network Engineering Support Software applications Database management Multi-level support for collaborative computing environments Linux administration

17 17 Contact Information Dr. Mary Harris Dr. Steve Hensel Dr. Phil Moore Supercomputing 2011 – Seattle, WA

18 18 Your future looks prosperous Employment – growing faster than the average for all occupations Increase 48.78% 2008 -2018 Broad range of formal education levels Part of everyday life You will be in high demand Telecommuting will become routine Salaries competitive and growing Education level and area of expertise

19 19 Who employs Computer professionals? Very wide range of industries Telecommunications, financial, insurance, business management, power, schools, government, national labs, film industry, self-employed, manufacturing industry, and more Bureau of Labor Statistics Computer Network, Systems, and Database Administrators

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