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This work will examine enhancements to the library for scalable, parallel pseudorandom number generation (SPRNG). SPRNG uses parameterization to produce many streams of random numbers with emphasis on parallel Monte Carlo methods. We extend the previous work to enable random access to these streams. This new method for generating streams improves both functionality and intuition of interface. Also considered are a few memory optimizations to the SPRNG library.