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Title: High Energy Physics Exascale Requirements Review. An Office of Science review sponsored jointly by Advanced Scientific Computing Research and High Energy Physics, June 10-12, 2015, Bethesda, Maryland

Abstract

The U.S. Department of Energy (DOE) Office of Science (SC) Offices of High Energy Physics (HEP) and Advanced Scientific Computing Research (ASCR) convened a programmatic Exascale Requirements Review on June 10–12, 2015, in Bethesda, Maryland. This report summarizes the findings, results, and recommendations derived from that meeting. The high-level findings and observations are as follows. Larger, more capable computing and data facilities are needed to support HEP science goals in all three frontiers: Energy, Intensity, and Cosmic. The expected scale of the demand at the 2025 timescale is at least two orders of magnitude — and in some cases greater — than that available currently. The growth rate of data produced by simulations is overwhelming the current ability of both facilities and researchers to store and analyze it. Additional resources and new techniques for data analysis are urgently needed. Data rates and volumes from experimental facilities are also straining the current HEP infrastructure in its ability to store and analyze large and complex data volumes. Appropriately configured leadership-class facilities can play a transformational role in enabling scientific discovery from these datasets. A close integration of high-performance computing (HPC) simulation and data analysis will greatly aid in interpreting the results ofmore » HEP experiments. Such an integration will minimize data movement and facilitate interdependent workflows. Long-range planning between HEP and ASCR will be required to meet HEP’s research needs. To best use ASCR HPC resources, the experimental HEP program needs (1) an established, long-term plan for access to ASCR computational and data resources, (2) the ability to map workflows to HPC resources, (3) the ability for ASCR facilities to accommodate workflows run by collaborations potentially comprising thousands of individual members, (4) to transition codes to the next-generation HPC platforms that will be available at ASCR facilities, (5) to build up and train a workforce capable of developing and using simulations and analysis to support HEP scientific research on next-generation systems.« less

Authors:
 [1];  [2];  [3];  [3];  [4];  [3];  [5];  [4];  [1];  [1];  [4];  [5];  [5];  [1];  [3];  [2];  [3];  [3];  [6];  [6] more »;  [7];  [3];  [1];  [8];  [7];  [1];  [1];  [2];  [7];  [2];  [9];  [2];  [9];  [1];  [7];  [7];  [7];  [1];  [7];  [3];  [10];  [7];  [3];  [2];  [11];  [12];  [13];  [1];  [1];  [1];  [3];  [14];  [7];  [3];  [15];  [2];  [16];  [3];  [17];  [18];  [7];  [1] « less
  1. Argonne National Lab. (ANL), Argonne, IL (United States)
  2. Fermi National Accelerator Lab. (FNAL), Batavia, IL (United States)
  3. Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
  4. Esnet, Berkeley, CA (United States)
  5. Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
  6. Univ. of Nebraska, Lincoln, NE (United States)
  7. SLAC National Accelerator Lab., Menlo Park, CA (United States)
  8. Boston Univ., MA (United States)
  9. Indiana Univ., Bloomington, IN (United States)
  10. Univ. of California, Los Angeles, CA (United States)
  11. Michigan State Univ., East Lansing, MI (United States)
  12. Yale Univ., New Haven, CT (United States)
  13. Univ. of Illinois, Urbana, IL (United States). National Center for Supercomputing Applications
  14. Florida State Univ., Tallahassee, FL (United States)
  15. Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
  16. Univ. of Arizona, Tucson, AZ (United States)
  17. Brookhaven National Lab. (BNL), Upton, NY (United States)
  18. Univ. of California, San Diego, CA (United States)
Publication Date:
Research Org.:
USDOE Office of Science (SC) (United States)
Sponsoring Org.:
USDOE Office of Science (SC), Advanced Scientific Computing Research (ASCR) (SC-21); USDOE Office of Science (SC), High Energy Physics (HEP) (SC-25)
OSTI Identifier:
1341722
Resource Type:
Technical Report
Country of Publication:
United States
Language:
English
Subject:
97 MATHEMATICS AND COMPUTING

Citation Formats

Habib, Salman, Roser, Robert, Gerber, Richard, Antypas, Katie, Dart, Eli, Dosanjh, Sudip, Hack, James, Monga, Inder, Papka, Michael E., Riley, Katherine, Rotman, Lauren, Straatsma, Tjerk, Wells, Jack, Williams, Tim, Almgren, A., Amundson, J., Bailey, Stephen, Bard, Deborah, Bloom, Ken, Bockelman, Brian, Borgland, Anders, Borrill, Julian, Boughezal, Radja, Brower, Richard, Cowan, Benjamin, Finkel, Hal, Frontiere, Nicholas, Fuess, Stuart, Ge, Lixin, Gnedin, Nick, Gottlieb, Steven, Gutsche, Oliver, Han, T., Heitmann, Katrin, Hoeche, Stefan, Ko, Kwok, Kononenko, Oleksiy, LeCompte, Thomas, Li, Zheng, Lukic, Zarija, Mori, Warren, Ng, Cho-Kuen, Nugent, Peter, Oleynik, Gene, O’Shea, Brian, Padmanabhan, Nikhil, Petravick, Donald, Petriello, Frank J., Pope, Adrian, Power, John, Qiang, Ji, Reina, Laura, Rizzo, Thomas Gerard, Ryne, Robert, Schram, Malachi, Spentzouris, P., Toussaint, Doug, Vay, Jean Luc, Viren, B., Wuerthwein, Frank, Xiao, Liling, and Coffey, Richard. High Energy Physics Exascale Requirements Review. An Office of Science review sponsored jointly by Advanced Scientific Computing Research and High Energy Physics, June 10-12, 2015, Bethesda, Maryland. United States: N. p., 2016. Web. doi:10.2172/1341722.
Habib, Salman, Roser, Robert, Gerber, Richard, Antypas, Katie, Dart, Eli, Dosanjh, Sudip, Hack, James, Monga, Inder, Papka, Michael E., Riley, Katherine, Rotman, Lauren, Straatsma, Tjerk, Wells, Jack, Williams, Tim, Almgren, A., Amundson, J., Bailey, Stephen, Bard, Deborah, Bloom, Ken, Bockelman, Brian, Borgland, Anders, Borrill, Julian, Boughezal, Radja, Brower, Richard, Cowan, Benjamin, Finkel, Hal, Frontiere, Nicholas, Fuess, Stuart, Ge, Lixin, Gnedin, Nick, Gottlieb, Steven, Gutsche, Oliver, Han, T., Heitmann, Katrin, Hoeche, Stefan, Ko, Kwok, Kononenko, Oleksiy, LeCompte, Thomas, Li, Zheng, Lukic, Zarija, Mori, Warren, Ng, Cho-Kuen, Nugent, Peter, Oleynik, Gene, O’Shea, Brian, Padmanabhan, Nikhil, Petravick, Donald, Petriello, Frank J., Pope, Adrian, Power, John, Qiang, Ji, Reina, Laura, Rizzo, Thomas Gerard, Ryne, Robert, Schram, Malachi, Spentzouris, P., Toussaint, Doug, Vay, Jean Luc, Viren, B., Wuerthwein, Frank, Xiao, Liling, & Coffey, Richard. High Energy Physics Exascale Requirements Review. An Office of Science review sponsored jointly by Advanced Scientific Computing Research and High Energy Physics, June 10-12, 2015, Bethesda, Maryland. United States. doi:10.2172/1341722.
Habib, Salman, Roser, Robert, Gerber, Richard, Antypas, Katie, Dart, Eli, Dosanjh, Sudip, Hack, James, Monga, Inder, Papka, Michael E., Riley, Katherine, Rotman, Lauren, Straatsma, Tjerk, Wells, Jack, Williams, Tim, Almgren, A., Amundson, J., Bailey, Stephen, Bard, Deborah, Bloom, Ken, Bockelman, Brian, Borgland, Anders, Borrill, Julian, Boughezal, Radja, Brower, Richard, Cowan, Benjamin, Finkel, Hal, Frontiere, Nicholas, Fuess, Stuart, Ge, Lixin, Gnedin, Nick, Gottlieb, Steven, Gutsche, Oliver, Han, T., Heitmann, Katrin, Hoeche, Stefan, Ko, Kwok, Kononenko, Oleksiy, LeCompte, Thomas, Li, Zheng, Lukic, Zarija, Mori, Warren, Ng, Cho-Kuen, Nugent, Peter, Oleynik, Gene, O’Shea, Brian, Padmanabhan, Nikhil, Petravick, Donald, Petriello, Frank J., Pope, Adrian, Power, John, Qiang, Ji, Reina, Laura, Rizzo, Thomas Gerard, Ryne, Robert, Schram, Malachi, Spentzouris, P., Toussaint, Doug, Vay, Jean Luc, Viren, B., Wuerthwein, Frank, Xiao, Liling, and Coffey, Richard. Tue . "High Energy Physics Exascale Requirements Review. An Office of Science review sponsored jointly by Advanced Scientific Computing Research and High Energy Physics, June 10-12, 2015, Bethesda, Maryland". United States. doi:10.2172/1341722. https://www.osti.gov/servlets/purl/1341722.
@article{osti_1341722,
title = {High Energy Physics Exascale Requirements Review. An Office of Science review sponsored jointly by Advanced Scientific Computing Research and High Energy Physics, June 10-12, 2015, Bethesda, Maryland},
author = {Habib, Salman and Roser, Robert and Gerber, Richard and Antypas, Katie and Dart, Eli and Dosanjh, Sudip and Hack, James and Monga, Inder and Papka, Michael E. and Riley, Katherine and Rotman, Lauren and Straatsma, Tjerk and Wells, Jack and Williams, Tim and Almgren, A. and Amundson, J. and Bailey, Stephen and Bard, Deborah and Bloom, Ken and Bockelman, Brian and Borgland, Anders and Borrill, Julian and Boughezal, Radja and Brower, Richard and Cowan, Benjamin and Finkel, Hal and Frontiere, Nicholas and Fuess, Stuart and Ge, Lixin and Gnedin, Nick and Gottlieb, Steven and Gutsche, Oliver and Han, T. and Heitmann, Katrin and Hoeche, Stefan and Ko, Kwok and Kononenko, Oleksiy and LeCompte, Thomas and Li, Zheng and Lukic, Zarija and Mori, Warren and Ng, Cho-Kuen and Nugent, Peter and Oleynik, Gene and O’Shea, Brian and Padmanabhan, Nikhil and Petravick, Donald and Petriello, Frank J. and Pope, Adrian and Power, John and Qiang, Ji and Reina, Laura and Rizzo, Thomas Gerard and Ryne, Robert and Schram, Malachi and Spentzouris, P. and Toussaint, Doug and Vay, Jean Luc and Viren, B. and Wuerthwein, Frank and Xiao, Liling and Coffey, Richard},
abstractNote = {The U.S. Department of Energy (DOE) Office of Science (SC) Offices of High Energy Physics (HEP) and Advanced Scientific Computing Research (ASCR) convened a programmatic Exascale Requirements Review on June 10–12, 2015, in Bethesda, Maryland. This report summarizes the findings, results, and recommendations derived from that meeting. The high-level findings and observations are as follows. Larger, more capable computing and data facilities are needed to support HEP science goals in all three frontiers: Energy, Intensity, and Cosmic. The expected scale of the demand at the 2025 timescale is at least two orders of magnitude — and in some cases greater — than that available currently. The growth rate of data produced by simulations is overwhelming the current ability of both facilities and researchers to store and analyze it. Additional resources and new techniques for data analysis are urgently needed. Data rates and volumes from experimental facilities are also straining the current HEP infrastructure in its ability to store and analyze large and complex data volumes. Appropriately configured leadership-class facilities can play a transformational role in enabling scientific discovery from these datasets. A close integration of high-performance computing (HPC) simulation and data analysis will greatly aid in interpreting the results of HEP experiments. Such an integration will minimize data movement and facilitate interdependent workflows. Long-range planning between HEP and ASCR will be required to meet HEP’s research needs. To best use ASCR HPC resources, the experimental HEP program needs (1) an established, long-term plan for access to ASCR computational and data resources, (2) the ability to map workflows to HPC resources, (3) the ability for ASCR facilities to accommodate workflows run by collaborations potentially comprising thousands of individual members, (4) to transition codes to the next-generation HPC platforms that will be available at ASCR facilities, (5) to build up and train a workforce capable of developing and using simulations and analysis to support HEP scientific research on next-generation systems.},
doi = {10.2172/1341722},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Tue Nov 29 00:00:00 EST 2016},
month = {Tue Nov 29 00:00:00 EST 2016}
}

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