Titlebook: Supercomputing; 6th Russian Supercom Vladimir Voevodin,Sergey Sobolev Conference proceedings 2020 Springer Nature Switzerland AG 2020 cloud

沉積物

Management of Computations with LRnLA Algorithms in Adaptive Mesh Refinement Codes implemented on this structure with the use of the ConeFold locally recursive non-locally asynchronous algorithm. It increases the computational intensity by a recursive traversal of the parts of the dependency graph in a ConeFold. The dependencies are determined by the mesh structure, and the mesh

NOT

盲信者

Thrombolysis

Optimization of Load Balancing Algorithms in Parallel Modeling of Objects Using a Large Number of Grculation time will be achieved by reducing the amount of information transmitted between processes through contact surfaces..For testing effectiveness of the algorithms, an elastic wave propagation model in a medium with many non-parallel cracks will be used..Modeling with using of researched algori

發(fā)酵

Parallel BIILU2-Based Iterative Solution of Linear Systems in Reservoir Simulation: Do Optimal Param by the research parallel three-phase fully implicit black oil simulator was generated. The parallel performance of the MPI-based BIILU2 linear solver with the default parameters on such systems was analyzed. The trends in the choice of optimal BIILU2-based linear solver parameters for such systems

羅盤

Phenothiazines

Parallel Gravitational Search Algorithm in Solving the Inverse Problem of Chemical Kinetics of the study of metaheuristic algorithms, including the gravitational search algorithm, is given. It is shown that recently, these algorithms are becoming increasingly popular. The optimization problem is formulated on the example of solving the inverse kinetic problem. The process under study is p

Insatiable

probate

Console

A Visual-Based Approach for Evaluating Global Optimization Methods problems, define comparison measures, and, finally, choose a way of visual presentation of the computational results. In this paper, a wide set of test optimization problems is considered including a new global constrained optimization problem generator (GCGen). Main performance measures and compar