GetSparseQrDefaultMicrobenchmarks: Initializes the list of default sparse QR factorization...

In RHPCBenchmark: Benchmarks for High-Performance Computing Environments

Description

GetSparseQrDefaultMicrobenchmarks defines the default sparse QR factorization microbenchmarks to be executed by the RunSparseMatrixBenchmark function. The current sparse QR factorization microbenchmarks cover a variety of matrices of different dimensions and number of non-zero values. They are as follows:

1. Maragal_6 – rank deficient least squares matrix of 537694 nonzeros

2. landmark – least squares matrix of 1146848

See the documentation for the SparseMatrixMicrobenchmark class for more details.

Usage

GetSparseQrDefaultMicrobenchmarks()

Value

a list of SparseMatrixMicrobenchmark objects defining the microbenchmarks to be executed. The microbenchmarks appear in the order listed in the function description and are assigned the names enumerated in the description.

See Also

SparseMatrixMicrobenchmark

Other sparse matrix default microbenchmarks: GetSparseCholeskyDefaultMicrobenchmarks, GetSparseCholeskyExampleMicrobenchmarks, GetSparseLuDefaultMicrobenchmarks, GetSparseMatrixVectorDefaultMicrobenchmarks, GetSparseMatrixVectorExampleMicrobenchmarks

RHPCBenchmark documentation built on May 2, 2019, 6:40 a.m.