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This work presents a highly parallelizable, matrix-free, real-space method for computing the random phase approximation (RPA) correlation energy within Kohn-Sham density functional theory that avoids the explicit construction and eigen-decomposition of the response function matrix and uses Lanczos quadrature to evaluate the trace of a matrix function on a real-space grid.