Science at Extreme Scales: Where Big Data Meets Large-Scale Computing

Anderson, Chris; Araki, Samuel; Bjørstad, Petter; Bungartz, Hans-Joachim; Dow, Keiko; Draxl, Claudia; Duarte, Marco; Farcas, Ionut-Gabriel; Gao, Longfei; Garcke, Jochen; Grandinetti, Pietro; Haehnel, Philipp; Haghighatlari, Mojtaba; Hittinger, Jeffrey; Jäkel, René; Jenko, Frank; Kim,  David; Martin,  Robert; Molloy, Erin; Park, Saerom; Scheffler, Matthias; Schürg, Jannik; Sousa, Eder; Sunu, Justin; Tan, Chee Wei

Dokumenttyp:: Report / Forschungsbericht
Autor(en):: Anderson, Chris; Araki, Samuel; Bjørstad, Petter; Bungartz, Hans-Joachim; Dow, Keiko; Draxl, Claudia; Duarte, Marco; Farcas, Ionut-Gabriel; Gao, Longfei; Garcke, Jochen; Grandinetti, Pietro; Haehnel, Philipp; Haghighatlari, Mojtaba; Hittinger, Jeffrey; Jäkel, René; Jenko, Frank; Kim, David; Martin, Robert; Molloy, Erin; Park, Saerom; Scheffler, Matthias; Schürg, Jannik; Sousa, Eder; Sunu, Justin; Tan, Chee Wei
Titel:: Science at Extreme Scales: Where Big Data Meets Large-Scale Computing
Beauftragende Einrichtung:: Institute for Pure and Applied Mathematics, University of California at Los Angeles, USA
Jahr:: 2018
Quartal:: 4. Quartal
Jahr / Monat:: 2018-12
Monat:: Dec
Sprache:: en
WWW:: http://www.ipam.ucla.edu/reports/white-paper-science-at-extreme-scales-where-big-data-meets-large-scale-computing/
TUM Einrichtung:: Department of Informatics
BibTeX