Abstract— This paper presents a new efficient multiobjective evolutionary algorithm for solving computationallyintensive optimization problems. To support a high degree of parall...
Anna Syberfeldt, Henrik Grimm, Amos Ng, Robert Ivo...
The assumption in moving system modelling to higher levels is that this improves the design process by allowing exploration of the architecture, providing an unambiguous specifica...
—Two strategies of distribution of computations can be used to implement parallel solvers for dense linear algebra problems for Heterogeneous Computational Clusters of Multicore ...
FPGAs (Field-Programmable Gate Arrays) are often used as coprocessors to boost the performance of dataintensive applications [1, 2]. However, mapping algorithms onto multimillion-...
Single system image(SSI) systems have been the mainstay of high-performance computing for many years. SSI requires the integration and aggregation of all types of resources in a c...