第143回

The objective of the Software for Linear Algebra Targeting Exascale (SLATE) project is to provide fundamental dense linear algebra capabilities to the US Department of Energy and to the high-performance computing (HPC) community at large. To this end, SLATE will provide basic dense matrix operations (e.g., matrix multiplication, rank-k update, triangular solve), linear systems solvers, least square solvers, singular value and eigenvalue solvers.
In this talk, I will first introduce the programming model of SLATE.
Including software dependency requirements, programming interface, current development status, and a matrix multiplication code snippet as example.
The next section would be the detail of Oakforest-PACS, an Intel Knights Landing (KNL) based system and its performance running SLATE BLAS level 3 routines.
The last part is going to be the process of implementing Cannon's Algorithm in SLATE, to showcase the advantage of the programming model, and the tracing tool for fine tuning.