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In this report,we present some accelerated eigenvalue and SVD solvers by using the hierarchically semiseparable(HSS)matrix techniques.We mainly exploit the off-diagonal low-rank property of some intermediate matrices.By comparing with some highly optimized packages such as Intel MKL,our proposed algorithms can be faster in both serial and parallel cases.We will present some numerical results to show that.