生物信息学
Sparse Linear Algebra
Use when working with sparse matrices, sparse storage formats (CSR, CSC, COO, BSR, ELL), sparse matrix-vector multiply (SpMV), sparse matrix-matrix multiply (SpGEMM), triangular solves, level scheduling, ILU and IC preconditioners, iterative solvers (CG, GMRES, BiCGSTAB), algebraic multigrid, reordering (RCM, AMD, nested dissection, Metis), fill-in analysis, graph-based sparsity reasoning, graph partitioning, coloring, and sparse direct solvers.