词条 | Sparse matrix-vector multiplication |
释义 |
Sparse matrix-vector multiplication (SpMV) of the form is a widely used computational kernel existing in many scientific applications. The input matrix is sparse. The input vector and the output vector are dense. In case of repeated operation involving the same input matrix but possibly changing numerical values of its elements, can be preprocessed to reduce both the parallel and sequential run time of the SpMV kernel.[1] References1. ^{{cite web | url=http://epubs.siam.org/doi/abs/10.1137/100813956 | title=Hypergraph Partitioning Based Models and Methods for Exploiting Cache Locality in Sparse Matrix-Vector Multiplication | accessdate=13 April 2014}} 1 : Sparse matrices |
随便看 |
|
开放百科全书收录14589846条英语、德语、日语等多语种百科知识,基本涵盖了大多数领域的百科知识,是一部内容自由、开放的电子版国际百科全书。