机译:高性能PDE求解器的可扩展性
Mathematics and Computer Science Argonne National Laboratory|Department of Computer Science University of Illinois at Urbana-Champaign|Department of Mechanical Science and Engineering University of Illinois at Urbana-Champaign;
Mathematics and Computer Science Argonne National Laboratory;
Department of Computer Science University of Illinois at Urbana-Champaign;
Mechanical and Aerospace Engineering Utah State University;
Center for Applied Scientific Computing Lawrence Livermore National Laboratory;
Center for Applied Scientific Computing Lawrence Livermore National Laboratory;
Center for Applied Scientific Computing Lawrence Livermore National Laboratory;
Institute for Computational Mechanics Technical University of Munich;
Department of Mathematics Virginia Tech;
National Renewable Energy Laboratory;
Department of Computer Science University of Colorado;
High-performance computing; strong-scale limit; n0.8(n sub 0.8); high-order discretizations; PDEs;
机译:用于解决大规模PDE受约束的逆问题的数据可扩展的随机性不合适方法
机译:Chemora:现代高性能计算体系结构的PDE解决框架
机译:在傅立叶特征网络的特征向量偏见:从回归解决与物理信息的神经网络的多尺度PDE
机译:基于ULFM的弹性PDE解算器的性能缩放可变性和能量分析
机译:使用NITE元素MetableA可扩展软件框架在分布式Octree网格上求解PDE的可扩展软件框架,用于使用有限元方法在分布式Octree网格上求解PDES
机译:一个高效可扩展和适应性强的框架用于解决水平集PDE的通用系统
机译:高性能PDE求解器的可扩展性
机译:适用于大规模应用的快速pDE求解器环境