CSE19 - MS171-1: Combining Extreme Computing and Big Data for Future Machine Learning Presentation: John Wu, Lawrence Berkeley National Laboratory, 15 min 43 sec
CSE19 - MS171-1: Combining Extreme Computing and Big Data for Future Machine Learning Document: CSE19 - MS171-1: Combining Extreme Computing and Big Data for Future Machine Learning
CSE19 - MS171-2: A Scalable Randomized Singular Value Decomposition with Multiple Sketches for Big Data Analysics Presentation: Weichung Wang, National Taiwan University, Taiwan, 23 min 47 sec
CSE19 - MS171-2: A Scalable Randomized Singular Value Decomposition with Multiple Sketches for Big Data Analysics Document: CSE19 - MS171-2: A Scalable Randomized Singular Value Decomposition with Multiple Sketches for Big Data Analysics
CSE19 - MS171-3: Multidisciplinary High Performance Data Analysis Forum: summary and recommendations Presentation: Michel Dayde, University of Toulouse, France, 22 min 2 sec
CSE19 - MS171-3: Multidisciplinary High Performance Data Analysis Forum: summary and recommendations Document: CSE19 - MS171-3: Multidisciplinary High Performance Data Analysis Forum: summary and recommendations
CSE19 - MS171-4: Obtaining Performance from a Julia-Implementation of Trilinos Data Librairies Presentation: Neil Lindquist, St. John's University, U.S., 12 min 21 sec
CSE19 - MS171-4: Obtaining Performance from a Julia-Implementation of Trilinos Data Librairies Document: CSE19 - MS171-4: Obtaining Performance from a Julia-Implementation of Trilinos Data Librairies