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cs.DC2026
Sparsity-Aware Roofline Models for Sparse Matrix-Matrix Multiplication
Matthew Qian, Yahia Ramadan, Suhita Anubha +1
Sparse matrix-dense matrix multiplication (SpMM) is a critical kernel in scientific computing, graph analytics, and machine learning, whose performance is often constrained by memo…
cs.DC2025
Distributed-memory Algorithms for Sparse Matrix Permutation, Extraction, and Assignment
Elaheh Hassani, Md Taufique Hussain, Ariful Azad
We present scalable distributed-memory algorithms for sparse matrix permutation, extraction, and assignment. Our methods follow an Identify-Exchange-Build (IEB) strategy where each…
cs.DC2024
Distributed-Memory Parallel Algorithms for Sparse Matrix and Sparse Tall-and-Skinny Matrix Multiplication
Isuru Ranawaka, Md Taufique Hussain, Charles Block +3
We consider a sparse matrix-matrix multiplication (SpGEMM) setting where one matrix is square and the other is tall and skinny. This special variant, called TS-SpGEMM, has importan…