  In this paper, we aim to introduce a new perspective when comparing highly
parallelized algorithms on GPU: the energy consumption of the GPU. We give an
analysis of the performance of linear algebra operations, including addition of
vectors, element-wise product, dot product and sparse matrix-vector product, in
order to validate our experimental protocol. We also analyze their uses within
conjugate gradient method for solving the gravity equations on Graphics
Processing Unit (GPU). Cusp library is considered and compared to our own
implementation with a set of real matrices arrising from the Chicxulub crater
and obtained by the finite element discretization of the gravity equations. The
experiments demonstrate the performance and robustness of our implementation in
terms of energy efficiency.
