3 papers
cs.DC2026
MAGNUS: Fast SpGEMM on GPUs for Irregular Matrices via Hierarchical Multisplit
Jordi Wolfson-Pou, Ahmed Helal, Fabrizio Petrini
We present MAGNUS, a novel algorithm for sparse matrix-matrix multiplication (SpGEMM) of irregular matrices on GPUs. Such matrices often contain many heavy rows, those with larg…
cs.DC2025
MAGNUS: Generating Data Locality to Accelerate Sparse Matrix-Matrix Multiplication on CPUs
Jordi Wolfson-Pou, Jan Laukemann, Fabrizio Petrini
Sparse general matrix-matrix multiplication (SpGEMM) is a critical operation in many applications. Current multithreaded implementations are based on Gustavson's algorithm and ofte…
cs.DC2024
Enhancing Scalability and Performance in Influence Maximization with Optimized Parallel Processing
Hanjiang Wu, Huan Xu, Joongun Park +5
Influence Maximization (IM) is vital in viral marketing and biological network analysis for identifying key influencers. Given its NP-hard nature, approximate solutions are employe…