Sparse matrix multiplication using CSR format optimizes performance by iterating only over non-zero elements, reducing complexity compared to dense multiplication. Efficient sparse-sparse addition requires matching formats, while format choice impacts iterative solver efficiency and parallelization potential in sparse linear algebra.