ExaShark: A scalable hybrid array kit for exascale simulation

Copyright © 2015 Society for Modeling & Simulation International (SCS). Many problems in high-performance computing, such as stencil applications in iterative solvers or in particle-based simulations, have a need for regular distributed grids. Libraries offering such n-dimensional regular grids need to take advantage of the latest high-performance computing technologies and scale to exascale systems, but also need to be usable by non HPC experts. This paper presents ExaShark: a library for handling n-dimensional distributed data structures that strikes a balance between performance and usability. ExaShark is an open source middleware, offered as a library, targeted at reducing the increasing programming burden on heterogeneous current and future exascale architectures. It offers its users a global-array-like usability while its runtime can be configured to use shared memory threading techniques (Pthreads, OpenMP, TBB), inter-node distribution techniques (MPI, GPI), or combinations of both. ExaShark has been used to develop applications such as a Jacobian 2D heat simulation and advanced pipelined conjugate gradient solvers. These applications are used to demonstrate the performance and usability of ExaShark.

ISBN:978-1-5108-0101-1

Jaar van publicatie:2015