Extreme Heterogeneity 2018 - Productive Computational Science in the Era of Extreme Heterogeneity: Report for DOE ASCR Workshop on Extreme Heterogeneity

Technical Report · Mon Dec 03 00:00:00 EST 2018

DOI:https://doi.org/10.2172/1473756· OSTI ID:1473756

Vetter, Jeffrey S. ^[1]; Brightwell, Ron ^[2]; Gokhale, Maya ^[3]; McCormick, Pat ^[4]; Ross, Rob ^[5]; Shalf, John ^[6]; Antypas, Katie ^[6]; Donofrio, David ^[6]; Humble, Travis ^[1]; Schuman, Catherine ^[1]; Van Essen, Brian ^[3]; Yoo, Shinjae ^[7]; Aiken, Alex ^[8]; Bernholdt, David ^[1]; Byna, Suren ^[3]; Cameron, Kirk ^[9]; Cappello, Frank ^[5]; Chapman, Barbara ^[7]; Chien, Andrew ^[5]; Hall, Mary ^[10] ; Hartman-Baker, Rebecca ^[11]; Lan, Zhiling ^[12]; Lang, Michael ^[4]; Leidel, John ^[13]; Li, Sherry ^[6]; Lucas, Robert ^[14]; Mellor-Crummey, John ^[15]; Peltz Jr., Paul ^[4]; Peterka, Thomas ^[5]; Strout, Michelle ^[16]; Wilke, Jeremiah ^[2]

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1. Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
2. Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
3. Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
4. Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
5. Argonne National Lab. (ANL), Argonne, IL (United States)
6. Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
7. Brookhaven National Lab. (BNL), Upton, NY (United States)
8. Stanford Univ., Stanford, CA (United States)
9. Virginia Polytechnic Inst. and State Univ. (Virginia Tech), Blacksburg, VA (United States)
10. Univ. of Utah, Salt Lake City, UT (United States)
11. Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States). National Energy Research Scientific Computing Center (NERSC)
12. Illinois Inst. of Technology, Chicago, IL (United States)
13. Tactical Computing Laboratories, TX (United States)
14. Univ. of Southern California, Los Angeles, CA (United States)
15. Rice Univ., Houston, TX (United States)
16. Univ. of Arizona, Tucson, AZ (United States)

The 2018 Basic Research Needs Workshop on Extreme Heterogeneity identified five Priority Research Directions for realizing the capabilities needed to address the challenges posed in this era of rapid technological change. This report captures the outcomes of that workshop. In the context of extreme heterogeneity, it defines basic research needs and opportunities in computer science research to develop smart and trainable operating and runtime systems, programming environments, and predictive tools that will make future systems easier to adapt to scientists’ computing needs and easier for facilities to deploy securely.

• Research Organization: USDOE Office of Science (SC), Washington, D.C. (United States)
• Sponsoring Organization: USDOE Office of Science (SC), Advanced Scientific Computing Research (ASCR)
• OSTI ID: 1473756
• Country of Publication: United States
• Language: English