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The Computer Science and Mathematics Division (CSM) is ORNL's premier source of basic and applied research in high-performance computing, applied mathematics, and intelligent systems. Basic and applied research programs are focused on computational sciences, intelligent systems, and information technologies.

Our mission includes working on important national priorities with advanced computing systems, working cooperatively with U.S. Industry to enable efficient, cost-competitive design, and working with universities to enhance science education and scientific awareness. Our researchers are finding new ways to solve problems beyond the reach of most computers and are putting powerful software tools into the hands of students, teachers, government researchers, and industrial scientists.

Hoffman Presents Two Papers at the International Congress on Environmental Modelling and Software

In July, Forrest Hoffman (ORNL Computer Science and Mathematics Division) presented two papers at the International Congress on Environmental Modelling and Software (iEMSs 2008) biennial meeting in Barcelona, Spain.  One paper described the application of multivariate spatio-temporal cluster analysis to environmental problems, including ecoregionalization, sampling network analysis and design, and model/data comparison.  This paper described a variety of new algorithm improvements that have dramatically reduced the computational run time of the analysis tool and allow even larger data sets to be included in analyses.  The second paper presented the Carbon-Land Model Intercomparison Project (C-LAMP)--partially funded by a SciDAC2 climate project--to the international modeling community.  This paper focused on the modeling protocol and metrics for evaluating terrestrial biogeochemistry models.  Both papers are available in the Proceedings of the iEMSs Fourth Biennial Meeting: International Congress on Environmental Modelling and Software (iEMSs 2008), ISBN 978-84-7653-074-0.  Hoffman's research is funded primarily by the Office of Biological and Environmental Research (OBER), Climate and Environmental Sciences Division.

The People Have Spoken!
ORNL Researchers Take Top Honors for Poster

The poster, titled A Cluster Analysis Approach to Comparing Atmospheric Radiation Measurement (ARM) Data and Global Climate Model (GCM) Results, won the Gold Medal of the People's Choice Awards at the recent 2008 ARM Science Team Meeting in Norfolk, Virginia. Developed by Forrest Hoffman (ORNL), Salil Mahajan (Texas A&M), William Hargrove (USDA Forest Service), Richard Mills (ORNL), and Tony Del Genio (NASA Goddard Institute for Space Studies), this poster described the results of a comparison of five years of atmospheric observations from the ARM Southern Great Plains (SGP) site with corresponding 6-hourly output from an integration of the Community Climate System Model (CCSM) run under the Intergovnmental Panel on Climate Change (IPCC) Special Report on Emissions Scenarios (SRES) A2 scenario for the current decade.  Also presented were recent improvements to the parallel clustering code used for the analysis and a new parallel Principal Components Analysis (PCA) tool.  The Peoples' Choice Awards, new to this year's meeting, were awarded based on votes from all of the ARM scientists attending the meeting. Hoffman and Mills presented the poster at the meeting's poster session in Norfolk.

This poster, along with the second and third place winners, can be seen at http://stm.arm.gov/2008/winning_posters_pc.stm

Future Technologies (FT) Group's Investigation Reveals Popular Scientific Benchmarks Do Not Accurately Represent TLB Behaviors of Real Applications

FT Group members Collin McCurdy and Jeff Vetter, along with Alan Cox of Rice University, will be presenting their paper "Investigating the TLB Behavior of High-end Scientific Applications on Commodity Microprocessors," in Austin, TX this April at the 2008 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS’08). The paper is the culmination of work, undertaken as part of the PetaSSI FastOS project, seeking to understand the TLB behavior of scientific applications. The analysis shows that two benchmark suites that are understood to represent scientific application behavior (SPEC CPU and HPCC) are not representative of the TLB behavior of important full scale applications. Furthermore, the paper demonstrates that false conclusions drawn from benchmark TLB performance can have significant ramifications for application performance.

Please click HERE to visit the ISPASS-2008 website.
Please click HERE to visit the Future Technologies Group website.

For other recent highlights, see our PR page. For previous home page highlights, see our archive. For information on meetings or workshops hosted/organized by ORNL (past, present, and future) see our meetings index.

Employment/Student Opportunities with CSM

CSM currently has a number of job openings and postdoc opportunties — check out our jobs page. We also have a number of programs that offer internships for undergraduate and graduate students.

   CSM Projects   
   Colossal Magneto Resistance   
   Compound Wavelet Matrix   
   Scalable First Principles Methods for Electronic Transport   
   Electronic Notebook   
   Earth System Grid   
   Functionally Graded Materials   
   New Fourier Transforms Methods   
   Statistical Physics of Fracture   
   Adaptive Mesh Refinement for Multiphysics Applications   
   High-Performance Circuit-Switched Networks   
   Packet-Switched and Circuit-Switched Networks   
   Infiniband Connections across the United States   
   Siemens Competition National Finals   
   Protein Dynamics   
  INCITE Funded Projects  
   An Integrated Approach to the Rational Design of Chemical Catalysts   
   Multidimensional Simulations of Core Collapse Supernovae   
   Predictive and accurate Monte Carlo based simulations for Mott insulators, cuprate superconductors, and nanoscale systems   
   Cellulosic Ethanol: Physical Basis of Recalcitrance to Hydrolysis of Lignocellulosic Biomass   
   Clean and Efficient Coal Gasifier Designs using Large-Scale Simulations   
   Climate-Science Computational End Station Development and Grand Challenge Team   
   Modeling Reactive Flows in Porous Media   
   Assessing Global Climate Response of the NCAR-CCSM3: CO2 Sensitivity and Abrupt Climate Change   
   Performance Evaluation and Analysis Consortium End Station   
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Updated: Wednesday, 16-Jul-2008 15:43:11 EDT