Abstract:
Systems and methods for parallel incomplete LU (ILU) factorization in distributed sparse linear systems, which order nodes underlying the equations in the system(s) by dividing nodes into interior nodes and boundary nodes and assigning no more than three codes to distinguish the boundary nodes. Each code determines an ordering of the nodes, which in turn determines the order in which the equations will be factored and the solution performed.
Abstract:
Hybrid computing that utilizes a computer processor coupled to one or more graphical processing units (GPUs) is configured to perform computations that generate outputs related to reservoir simulations associated with formations that may include natural gas and oil reservoirs.
Abstract:
Hybrid computing that utilizes a computer processor coupled to one or more graphical processing units (GPUs) is configured to perform computations that generate outputs related to reservoir simulations associated with formations that may include natural gas and oil reservoirs.
Abstract:
Systems and methods for parallel incomplete LU (ILU) factorization in distributed sparse linear systems, which order nodes underlying the equations in the system(s) by dividing nodes into interior nodes and boundary nodes and assigning no more than three codes to distinguish the boundary nodes. Each code determines an ordering of the nodes, which in turn determines the order in which the equations will be factored and the solution performed.