2 papers
cs.DC2026
SpSYRK: Half the Work in Distributed Sparse Matrix Multiplication
Thomas McFarland, Julian Bellavita, Giulia Guidi
The symmetric rank- update (SYRK), $\C = \A\A^\top$, computes the dot product between each pair of rows of $\A$, producing the Gram matrix $\C$. Its sparse variant underpins sim…
cs.DC2025
Parallel GPU-Enabled Algorithms for SpGEMM on Arbitrary Semirings with Hybrid Communication
Thomas McFarland, Julian Bellavita, Giulia Guidi
Sparse General Matrix Multiply (SpGEMM) is key for various High-Performance Computing (HPC) applications such as genomics and graph analytics. Using the semiring abstraction, many…