Sparse matrices generally don't have sufficient locality for the BLIS tiling approach.
Sparse matrix-matrix products (such as appear in algebraic multigrid setup) are a good topic, but there are soooo many ways in which people set up benchmarks that are not representative of applications and thus arrive at spurious causal claims. Creating a good performance model for existing implementations would be insightful and valuable. The relative performance of sparse matrix-matrix products are not well correlated with either sparse matrix-vector products or dense GEMM (comparing Intel, AMD, POWER9, and ARM).
> *Here's a little about me:*
> I am a new graduate student at one of the best universities of my country
> and my research is about parallel programming in general. I am currently
> associated with a project called Sparcity (europhian funded) which is about
> sparse matrices in general and I am looking a topic to conduct my research.
>
> *About Research and My Request:*
> My advisor would like me to start a research asap! and when I was looking
> online I came across this library and read comments about how it is
> efficient. Although I have not examined in greater detail the library
> wondering maybe I can apply whatever inside the library for sparse matrices
> as well as an extension.
> How are you doing in this project?
> is this idea feasible to you?
>
> Any answer will be appreciated
> ~Osman.
>
>
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