Not everyone will write their own optimizing compiler from scratch, but those who do sometimes roll into it during the course ...

Sparse matrix-matrix multiplication (SpMM) is a crucial kernel in various applications, including sparse deep neural networks [1]–[6], graph analytics [7], triangle counting [8], and linear algebra ...

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Abstract: With the advancement of Artificial Intelligence (AI), the reliability of AI accelerators has become increasingly critical. Moreover, sparse matrix multiplication has become a fundamental ...

I'm writing from Mississippi. I'm here for the Mississippi Book Festival in Jackson. A few hours ago, I had the pleasure of sharing the stage with Alice Randall and Tom Piazza. Our books were about ...

Currently, we have a couple of transformer that returns sparse matrix. With the work on array-api in the ecosystem, it could actually be annoying because matrix are not array and might not be ...