… 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 …

… 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 …

… (SpMV) is a special case of matrix-vector multiplication, where the input matrix contains a
large … Sun, “Smat: an input adaptive auto-tuner for sparse matrix-vector multiplication,” in ACM …

… Abstract—Sparse Matrix-Vector multiplication (SpMV) is an essential computational
kernel … Sun, “Smat: an input adaptive autotuner for sparse matrix-vector multiplication,” in …

… , accelerating sparse matrix-vector multiplication (SpMV) on … We develop an adaptive
selection method to find the best … first divides an input matrix A into a number of sparse tiles of …

… Sparse matrix-vector multiplication (SpMV) is one of the … for the conversion from the
input matrix to the banded matrix. … [21] propose adaptive multi-row folding and non-zero-based …

… a good fit to accelerate the Sparse Matrix Vector Multiplication (SpMV) kernel. … adaptive
load balancing approaches and selection methods based on the characteristics of each input …

… Sparse matrix–vector multiplication (SpMV) is one of the most … The last one is using an
adaptive method to find the optimal … On the other hand, developing an SpMV auto-tuner is another …