2 papers
cs.DC2024
Improving Locality in Sparse and Dense Matrix Multiplications
Mohammad Mahdi Salehi Dezfuli, Kazem Cheshmi
Consecutive matrix multiplications are commonly used in graph neural networks and sparse linear solvers. These operations frequently access the same matrices for both reading and w…
cs.PL2021
Vectorizing Sparse Matrix Codes with Dependency Driven Trace Analysis
Zachary Cetinic, Kazem Cheshmi, Maryam Mehri Dehnavi
Sparse computations frequently appear in scientific simulations and the performance of these simulations rely heavily on the optimization of the sparse codes. The compact data stru…