English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Zendy Plus

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Zendy Tools

Zendy Open

This research introduce our work on developing Krylov subspace and AMGsolvers on NVIDIA GPUs. As SpMV is a crucial part for these iterative methods,SpMV algorithms for single GPU and multiple GPUs are implemented. A HEC matrixformat and a communication mechanism are established. And also, a set ofspecific algorithms for solving preconditioned systems in parallel environmentsare designed, including ILU(k), RAS and parallel triangular solvers. Based onthese work, several Krylov solvers and AMG solvers are developed. According tonumerical experiments, favorable acceleration performance is acquired from ourKrylov solver and AMG solver under various parameter conditions.

Development of Krylov and AMG linear solvers for large-scale sparse matrices on GPUs