… SMAT: An input adaptive auto-tuner for sparse matrix-vector multiplication [C] / / Proceedings
of the … Design and implementation of adaptive SpMV library for multicore and many-core …

… sparse accumulation algorithms [13, 18] for the compute part. To some extent, SpGEMM is
similar to sparse matrix-vector multiplication (SpMV) and sparse … by the auto-tuner does not …

… existing works on sparse matrix–vector multiplication (SpMV, … al. proposed SMAT [28], an
input adaptive SpMV auto-tuner, … , our auto-tuner selects the suitable format for an input matrix …

… specialization of Sparse Matrix-Vector Multiplication to predict a … most expensive part of the
adaptation in terms of developer effort… For each matrix, the autotuner looks at the performance …

… Abstract—Because sparse matrix-vector multiplication (SpMV) … the CSR-based sparse
matrix-vector (SpMV) multiplication, we … : Since our framework is input matrix adaptive, we need to …

… rely on a core sparse matrix vector multiplication (SpMV) … This section discusses the main
SMAT auto-tuner concepts … the automatic input adaptive library generation tool SMAT for SpMV…

… Abstract—Sparse matrix vector multiplication (SpMV) is one of the most common
operations in scientific and high… SMAT: an input adaptive auto-tuner for sparse matrix-vector …

… Abstract—Sparse matrix-vector multiplication (SpMV) is a … an adaptive multirow folding method
referred to as AMF-CSR … foundation for their proposed partition auto-tuner. Others: Li et al. …

… with CSR iterates over the matrix rows and calculates the dot product of the row and the
input … using pre-processing for the sparse matrix-vector multiplication. In Supercomputing ’92:…

… aim is to develop an auto-tuner system for the selection of the … method reduced to the sparse
matrix vector product (SpMV), some … This approach can be extended by adapting the same …