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收藏分享 收藏 An analytical performance model of generalized hierarchical scheduling
Herbein, Stephen; Patki, Tapasya; Ahn, Dong H.; Mobo, Sebastian; Hathaway, Clark; Caino-Lores, Silvina; Corbett, James; Domyancic, David; Scogland, Thomas R. W.; de Supinski, Bronis R.; Taufer, Michela 分享 收藏 Enabling rapid COVID-19 small molecule drug design through scalable deep learning of generative models通过生成模型的可扩展深度学习实现快速新型冠状病毒肺炎小分子药物设计Jacobs, Sam Ade; Moon, Tim; McLoughlin, Kevin; Jones, Derek; Hysom, David; Ahn, Dong H.; Gyllenhaal, John; Watson, Pythagoras; Lightstone, Felice C.; Allen, Jonathan E.; Karlin, Ian; Van Essen, Brian 分享 收藏 Keeping Science on Keel When Software MovesAhn, Dong H.; Baker, Allison H.; Bentley, Michael; Briggs, Ian; Gopalakrishnan, Ganesh; Hammerling, Dorit M.; Laguna, Ignacio; Lee, Gregory L.; Milroy, Daniel J.; Vertenstein, Mariana 分享 收藏 Flux: Overcoming scheduling challenges for exascale workflowsAhn, Dong H.; Bass, Ned; Chu, Albert; Garlick, Jim; Grondona, Mark; Herbein, Stephen; Ingolfsson, Helgi I.; Koning, Joseph; Patki, Tapasya; Scogland, Thomas R. W.; Springmeyer, Becky; Taufer, Michela 分享 收藏 分享 收藏 Pruners: Providing reproducibility for uncovering non-deterministic errors in runs on supercomputersSato, Kento; Laguna, Ignacio; Lee, Gregory L.; Schulz, Martin; Chambreau, Christopher M.; Atzeni, Simone; Bentley, Michael; Gopalakrishnan, Ganesh; Rakamaric, Zvonimir; Sawaya, Geof; Protze, Joachim; Ahn, Dong H. 分享 收藏 Debugging High-Performance Computing Applications at Massive ScalesLaguna, Ignacio; Ahn, Dong H.; de Supinski, Bronis R.; Gamblin, Todd; Lee, Gregory L.; Schulz, Martin; Bagchi, Saurabh; Kulkarni, Milind; Zhou, Bowen; Chen, Zhezhe; Qin, Feng 分享 收藏 分享 收藏 
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