This paper analyzes the communication lower bounds and compares the communication costs of various classic parallel algorithms in the context of sparse-dense ...

This paper analyzes the communication lower bounds and compares the communication costs of various classic parallel algorithms in the context of sparse-dense ...

PDF | On May 1, 2016, Penporn Koanantakool and others published Communication-Avoiding Parallel Sparse-Dense Matrix-Matrix Multiplication | Find, ...

This paper analyzes the communication lower bounds and compares the communication costs of various classic parallel algorithms in the context of sparse-dense ...

May 26, 2016 · p=32, c=2 (c is #copies). • grid (teams of size c). • Each team member calculates. 1/c of all outer products. • broadcasts of size nnz(A)c/p.

Feb 29, 2024 · Our approach enables communication-avoiding multiplications, achieving a polynomial reduction in communication volume per iteration for matrices ...

May 1, 2016 · This paper analyzes the communication lower bounds and compares the communication costs of various classic parallel algorithms in the context of ...

Feb 20, 2024 · Our approach enables communication-avoiding multiplications, achieving a polynomial reduction in communication volume per iteration for matrices ...

May 14, 2019 · These algorithms trade communication for redundant computation or increased memory usage. Communication-Avoding Sparse-Dense Matrix ...

Oct 16, 2020 · Multiplication of two sparse matrices (SpGEMM) is a common operation in numerous computing fields including data analytics [1, 2], graph ...