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Title: Biological and Environmental Research Exascale Requirements Review. An Office of Science review sponsored jointly by Advanced Scientific Computing Research and Biological and Environmental Research, March 28-31, 2016, Rockville, Maryland

Technical Report ·
DOI:https://doi.org/10.2172/1375720· OSTI ID:1375720
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  1. Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
  2. Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
  3. Argonne National Lab. (ANL), Argonne, IL (United States)
  4. Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States). National Energy Research Scientific Computing Center (NERSC)
  5. Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States). Esnet
  6. Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
  7. Georgia Inst. of Technology, Atlanta, GA (United States)
  8. Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
  9. Pacific Northwest National Lab. (PNNL), Richland, WA (United States). EMSL
  10. National Center for Atmospheric Research, Boulder, CO (United States)
  11. Brookhaven National Lab. (BNL), Upton, NY (United States)
  12. New York Univ. (NYU), NY (United States)
  13. Yale Univ., New Haven, CT (United States)
  14. Univ. of Houston, Houston, TX (United States)
  15. Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
  16. National Oceanic and Atmospheric Administration (NOAA), Boulder, CO (United States)
  17. National Renewable Energy Lab. (NREL), Golden, CO (United States)
  18. Sandia National Lab. (SNL-CA), Livermore, CA (United States)
  19. Stanford Univ., Stanford, CA (United States)
  20. Iowa State Univ., Ames, IA (United States)
  21. Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
  22. Stony Brook Univ., Stony Brook, NY (United States)
  23. Naval Postgraduate School, Monterey, CA (United States)
  24. Univ. of New Hampshire, Durham, NH (United States)
  25. USDA Forest Service, Washington, D.C. (United States)
  26. Univ. of Texas-Austin, Austin, TX (United States)
  27. Univ. of California, San Francisco, CA (United States)
  28. Washington State Univ., Pullman, WA (United States)
  29. Univ. of California, Berkeley, CA (United States)
  30. Univ. of California, Santa Cruz, CA (United States)
  31. Univ. of Connecticut, Storrs, CT (United States)
  32. Univ. of Toronto, Toronto, ON (Canada)
  33. Pennsylvania State Univ., University Park, PA (United States)
  34. Intel Corp., Santa Clara, CA (United States)
  35. Center for Molecular Medicine and Therapeutics, Vancouver, BC (Canada)
  36. Univ. of Cambridge (United Kingdom)
  37. Univ. of California, Santa Barbara, CA (United States)
  38. Colorado State Univ., Fort Collins, CO (United States)
  39. Intel, Mountain View, CA (United States)
  40. Boston Univ., Boston, MA (United States)
  41. Univ. of California, Davis, CA (United States)
  42. NCAR/Univ. of Colorado, Boulder, CO (United States)
+ Show Author Affiliations

Understanding the fundamentals of genomic systems or the processes governing impactful weather patterns are examples of the types of simulation and modeling performed on the most advanced computing resources in America. High-performance computing and computational science together provide a necessary platform for the mission science conducted by the Biological and Environmental Research (BER) office at the U.S. Department of Energy (DOE). This report reviews BER’s computing needs and their importance for solving some of the toughest problems in BER’s portfolio. BER’s impact on science has been transformative. Mapping the human genome, including the U.S.-supported international Human Genome Project that DOE began in 1987, initiated the era of modern biotechnology and genomics-based systems biology. And since the 1950s, BER has been a core contributor to atmospheric, environmental, and climate science research, beginning with atmospheric circulation studies that were the forerunners of modern Earth system models (ESMs) and by pioneering the implementation of climate codes onto high-performance computers. See http://exascaleage.org/ber/ for more information.

Research Organization:
US Department of Energy, Washington, DC (United States). Advanced Scientific Computing Research (SC-21)
Sponsoring Organization:
USDOE Office of Science (SC), Advanced Scientific Computing Research (SC-21); USDOE Office of Science (SC), Biological and Environmental Research (BER)
OSTI ID:
1375720
Country of Publication:
United States
Language:
English

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