We present a massively parallel implementation of symmetric sparse matrix vector product for modern clusters with scalar multi-core CPUs.
We experiment with a massively parallel implementation of an algorithm for simulating the dynamics of metastable decay in kinetic Ising models.
In this study, we present a highly scalable massively parallel implementation of the fast marching method using a domain decomposition approach.
Our massively parallel implementation of this general scheme has three levels of parallelism, being a hybrid of the loosely coupled task-based parallelization approach and the conventional MPI +X programming model, where X is either OpenMP or OpenACC.
However, in the massively parallel implementation of this technique for very large linear systems, the coarse grids generated can count up to millions of cells, which makes direct solvings on the coarse level impossible.
A massively parallel implementation of a recently developed technique for numerically integrating the transport equation, The Random Ray Method (TRRM) (Tramm et al., 2017), is applied to several large reactor benchmark problems.
Presumably a somewhat lesser challenge is a massively parallel implementation of the method, which can be run on a super computer.
In the next stage of this research, we will work on a massively parallel implementation of MMCM algorithm using CUDA and OpenCL.
We have developed a massively parallel Python implementation of the preprocessor [ 35], making use of the Hadoop Streaming library.
In the context of our ongoing implementation of massively parallel coupled-cluster (CC) capabilities for electron spin resonance tensors (Verma et al., 201346), we present a new massively parallel linear-response CC module to calculate up to second-order properties.
